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Smartphone-Based Vehicle Telematics: A Ten-Year Anniversary

https://doi.org/10.1109/tits.2017.2680468

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/dac.3178openalex-snapshot

A driving behavior detection system based on a smartphone's built‐in sensor

inferredcites →https://doi.org/10.1007/11853565_13openalex-snapshot

Mobility Detection Using Everyday GSM Traces

inferredcites →https://doi.org/10.1007/978-3-319-11310-4_33openalex-snapshot

RoadMonitor: An Intelligent Road Surface Condition Monitoring System

inferredcites →https://doi.org/10.1007/978-3-319-14280-7_2openalex-snapshot

Assessment of Logical Consistency in OpenStreetMap Based on the Spatial Similarity Concept

inferredcites →https://doi.org/10.1007/978-3-319-14430-6_7openalex-snapshot

Process Innovation with Disruptive Technology in Auto Insurance: Lessons Learned from a Smartphone-Based Insurance Telematics Initiative

inferredcites →https://doi.org/10.1007/978-3-319-26401-1_24openalex-snapshot

Detecting Aggressive Driving Behavior with Participatory Sensing

inferredcites →https://doi.org/10.1007/978-3-319-29009-6_7openalex-snapshot

RoADS: A Road Pavement Monitoring System for Anomaly Detection Using Smart Phones

inferredcites →https://doi.org/10.1007/978-3-319-48799-1_45openalex-snapshot

Evaluating Reorientation Strategies for Accelerometer Data from Smartphones for ITS Applications

inferredcites →https://doi.org/10.1007/978-3-319-50758-3_11openalex-snapshot

Recognizing Driving Behaviour Using Smartphones

inferredcites →https://doi.org/10.1007/978-3-642-14306-9_42openalex-snapshot

RoadMic: Road Surface Monitoring Using Vehicular Sensor Networks with Microphones

inferredcites →https://doi.org/10.1007/978-3-642-16917-5_33openalex-snapshot

This Is Me: Using Ambient Voice Patterns for In-Car Positioning

inferredcites →https://doi.org/10.1007/978-3-642-17758-3_3openalex-snapshot

Using Smartphones to Detect Car Accidents and Provide Situational Awareness to Emergency Responders

inferredcites →https://doi.org/10.1007/978-3-642-23641-9_8openalex-snapshot

Distributed Road Surface Condition Monitoring Using Mobile Phones

inferredcites →https://doi.org/10.1007/978-3-642-30973-1openalex-snapshot

Mobile and ubiquitous systems, computing, networking, and services : 8th International ICST Conference, MobiQuitous 2011, Copenhagen, Denmark, December 6-9, 2011 : revised selected papers

inferredcites →https://doi.org/10.1007/978-3-642-31205-2_1openalex-snapshot

Personalized Driving Behavior Monitoring and Analysis for Emerging Hybrid Vehicles

inferredcites →https://doi.org/10.1007/978-3-642-40238-8openalex-snapshot

Mobile and Ubiquitous Systems: Computing, Networking, and Services

inferredcites →https://doi.org/10.1007/978-3-642-40238-8_11openalex-snapshot

Smartphone Sensor Reliability for Augmented Reality Applications

inferredcites →https://doi.org/10.1007/978-981-19-6913-3openalex-snapshot

Smart Sensors Measurement and Instrumentation

inferredcites →https://doi.org/10.1007/s00607-013-0334-0openalex-snapshot

Energy efficiency on location based applications in mobile cloud computing: a survey

inferredcites →https://doi.org/10.1007/s00779-008-0212-5openalex-snapshot

A survey of computational location privacy

inferredcites →https://doi.org/10.1007/s11042-015-2969-7openalex-snapshot

Determining driver phone use leveraging smartphone sensors

inferredcites →https://doi.org/10.1007/s12544-016-0200-1openalex-snapshot

Characterisation of road bumps using smartphones

inferredcites →https://doi.org/10.1007/s13177-015-0116-5openalex-snapshot

Detection of Driving Events using Sensory Data on Smartphone

inferredcites →https://doi.org/10.1007/s13177-016-0132-0openalex-snapshot

Analysis of Accident Risks from Driving Behaviors

inferredcites →https://doi.org/10.1016/c2009-0-62208-xopenalex-snapshot

The Psychology of Learning and Motivation

inferredcites →https://doi.org/10.1016/j.chb.2015.05.004openalex-snapshot

Mutual interferences of driving and texting performance

inferredcites →https://doi.org/10.1016/j.comnet.2009.07.011openalex-snapshot

A survey of urban vehicular sensing platforms

inferredcites →https://doi.org/10.1016/j.compenvurbsys.2012.06.001openalex-snapshot

Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification

inferredcites →https://doi.org/10.1016/j.compenvurbsys.2014.07.011openalex-snapshot

Urban sensing: Using smartphones for transportation mode classification

inferredcites →https://doi.org/10.1016/j.future.2012.05.023openalex-snapshot

Mobile cloud computing: A survey

inferredcites →https://doi.org/10.1016/j.jnca.2013.08.004openalex-snapshot

A survey on vehicular cloud computing

inferredcites →https://doi.org/10.1016/j.measurement.2009.12.019openalex-snapshot

Combating the effect of chassis squat in vehicle performance calculations by accelerometer measurements

inferredcites →https://doi.org/10.1016/j.measurement.2013.05.006openalex-snapshot

State of the art and future developments of measurement applications on smartphones

inferredcites →https://doi.org/10.1016/j.pmcj.2015.10.019openalex-snapshot

Robust and ubiquitous smartphone-based lane detection

inferredcites →https://doi.org/10.1016/j.pmcj.2016.01.010openalex-snapshot

Power management techniques in smartphone-based mobility sensing systems: A survey

inferredcites →https://doi.org/10.1016/j.procs.2014.08.249openalex-snapshot

Intelligent User Interface of Smartphones for On-vehicle Information Devices

inferredcites →https://doi.org/10.1016/j.sbspro.2012.09.824openalex-snapshot

Estimation of Safety Performance Measures from Smartphone Sensors

inferredcites →https://doi.org/10.1016/j.sbspro.2012.09.828openalex-snapshot

A Mobile Application for Road Surface Quality Control: UNIquALroad

inferredcites →https://doi.org/10.1016/j.sbspro.2014.01.057openalex-snapshot

Automated Sensing System for Monitoring of Road Surface Quality by Mobile Devices

inferredcites →https://doi.org/10.1016/j.trb.2009.10.005openalex-snapshot

Incorporation of Lagrangian measurements in freeway traffic state estimation

inferredcites →https://doi.org/10.1016/j.trc.2007.05.002openalex-snapshot

Current map-matching algorithms for transport applications: State-of-the art and future research directions

inferredcites →https://doi.org/10.1016/j.trc.2008.01.001openalex-snapshot

In-vehicle data recorders for monitoring and feedback on drivers’ behavior

inferredcites →https://doi.org/10.1016/j.trc.2009.10.006openalex-snapshot

Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment

inferredcites →https://doi.org/10.1016/j.trc.2012.08.001openalex-snapshot

A probabilistic map matching method for smartphone GPS data

inferredcites →https://doi.org/10.1016/j.trc.2016.06.005openalex-snapshot

An inference engine for smartphones to preprocess data and detect stationary and transportation modes

inferredcites →https://doi.org/10.1016/j.trf.2016.06.006openalex-snapshot

Combining accelerometer data and contextual variables to evaluate the risk of driver behaviour

inferredcites →https://doi.org/10.1016/s0031-3203(01)00126-1openalex-snapshot

A comparative review of camera calibrating methods with accuracy evaluation

inferredcites →https://doi.org/10.1017/cbo9781107326279openalex-snapshot

Smartphone Energy Consumption: Modeling and Optimization

inferredcites →https://doi.org/10.1037/e733112011-001openalex-snapshot

Comparing Real-World Behaviors of Drivers With High versus Low Rates of Crashes and Near-Crashes

inferredcites →https://doi.org/10.1037/e733232011-001openalex-snapshot

A Comprehensive Examination of Naturalistic Lane-Changes

inferredcites →https://doi.org/10.1049/iet-its.2014.0248openalex-snapshot

Survey of smartphone‐based sensing in vehicles for intelligent transportation system applications

inferredcites →https://doi.org/10.1068/b35097openalex-snapshot

How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets

inferredcites →https://doi.org/10.1093/amrx/abq002openalex-snapshot

A Traffic Model for Velocity Data Assimilation

inferredcites →https://doi.org/10.1109/3dv.2014.102openalex-snapshot

Two Cameras and a Screen: How to Calibrate Mobile Devices?

inferredcites →https://doi.org/10.1109/access.2016.2569585openalex-snapshot

Seeing Is Believing: Sharing Real-Time Visual Traffic Information via Vehicular Clouds

inferredcites →https://doi.org/10.1109/atc.2016.7764786openalex-snapshot

Automatic license plate recognition using mobile device

inferredcites →https://doi.org/10.1109/cit/iucc/dasc/picom.2015.165openalex-snapshot

When Smart Phone Meets Vehicle: A New On-Board Unit Scheme for VANETs

inferredcites →https://doi.org/10.1109/compsacw.2014.94openalex-snapshot

A Study of On-Vehicle Information Devices Using a Smartphone

inferredcites →https://doi.org/10.1109/comsnets.2012.6151382openalex-snapshot

Wolverine: Traffic and road condition estimation using smartphone sensors

inferredcites →https://doi.org/10.1109/comsnets.2014.6734870openalex-snapshot

I am a smartphone and I know my user is driving

inferredcites →https://doi.org/10.1109/csnt.2014.49openalex-snapshot

Mobile Application for Safe Driving

inferredcites →https://doi.org/10.1109/cvprw.2013.8openalex-snapshot

Towards Auto-calibration of Smart Phones Using Orientation Sensors

inferredcites →https://doi.org/10.1109/cvprw.2014.30openalex-snapshot

Estimating Gaze Direction of Vehicle Drivers Using a Smartphone Camera

inferredcites →https://doi.org/10.1109/dcoss.2011.5982206openalex-snapshot

Real time pothole detection using Android smartphones with accelerometers

inferredcites →https://doi.org/10.1109/ecticon.2014.6839778openalex-snapshot

Effects of smartphone usage on driver safety level performance in urban road conditions

inferredcites →https://doi.org/10.1109/ew.2010.5483535openalex-snapshot

C-VeT the UCLA campus vehicular testbed: Integration of VANET and Mesh networks

inferredcites →https://doi.org/10.1109/glocom.2013.6831046openalex-snapshot

Join driving: A smart phone-based driving behavior evaluation system

inferredcites →https://doi.org/10.1109/glocomw.2013.6825021openalex-snapshot

Vehicular cloud computing: A survey

inferredcites →https://doi.org/10.1109/hicss.2014.148openalex-snapshot

Employing Smartphones as a Low-Cost Multi Sensor Platform in a Field Operational Test with Electric Vehicles

inferredcites →https://doi.org/10.1109/icc.2016.7511088openalex-snapshot

Multiwave: A novel vehicle steering pattern detection method based on smartphones

inferredcites →https://doi.org/10.1109/iccve.2014.7297609openalex-snapshot

Driver behaviour profiling using smartphone sensory data in a V2I environment

inferredcites →https://doi.org/10.1109/iccve.2015.61openalex-snapshot

S-road assist: Road surface conditions and driving behavior analysis using smartphones

inferredcites →https://doi.org/10.1109/icos.2014.7042402openalex-snapshot

Inter-cars safety communication system based on Android smartphone

inferredcites →https://doi.org/10.1109/icsens.2015.7370312openalex-snapshot

Hidden Markov Model based driving event detection and driver profiling from mobile inertial sensor data

inferredcites →https://doi.org/10.1109/icsenst.2013.6727671openalex-snapshot

MobiDriveScore — A system for mobile sensor based driving analysis: A risk assessment model for improving one's driving

inferredcites →https://doi.org/10.1109/icsmc.2009.5346390openalex-snapshot

A public safety application of GPS-enabled smartphones and the android operating system

inferredcites →https://doi.org/10.1109/ijcnn.2013.6707049openalex-snapshot

Traffic sign recognition — How far are we from the solution?

inferredcites →https://doi.org/10.1109/ipsn.2014.6846749openalex-snapshot

Energy efficient GPS acquisition with Sparse-GPS

inferredcites →https://doi.org/10.1109/iscc.2013.6755001openalex-snapshot

DrivingStyles: A smartphone application to assess driver behavior

inferredcites →https://doi.org/10.1109/iscc.2014.6912495openalex-snapshot

Vehicle monitoring system using IEEE 802.11p device and Android application

inferredcites →https://doi.org/10.1109/iscc.2015.7405452openalex-snapshot

Advanced vehicular sensing of road artifacts and driver behavior

inferredcites →https://doi.org/10.1109/isic.2014.6967609openalex-snapshot

Driving assistance using smartdevices

inferredcites →https://doi.org/10.1109/ism.2015.121openalex-snapshot

Employing Sensors and Services Fusion to Detect and Assess Driving Events

inferredcites →https://doi.org/10.1109/itsc.2011.6083026openalex-snapshot

Autonomous detection of distracted driving by cell phone

inferredcites →https://doi.org/10.1109/itsc.2011.6083078openalex-snapshot

Driving style recognition using a smartphone as a sensor platform

inferredcites →https://doi.org/10.1109/itsc.2011.6083141openalex-snapshot

Comparing the GPS capabilities of the Samsung Galaxy S, Motorola Droid X, and the Apple iPhone for vehicle tracking using FreeSim_Mobile

inferredcites →https://doi.org/10.1109/itsc.2012.6338603openalex-snapshot

Automated transportation transfer detection using GPS enabled smartphones

inferredcites →https://doi.org/10.1109/itsc.2012.6338717openalex-snapshot

Leveraging sensor information from portable devices towards automatic driving maneuver recognition

inferredcites →https://doi.org/10.1109/itsc.2012.6338823openalex-snapshot

Evaluation of travel time estimation based on LWR-v and CTM-v: A case study in Stockholm

inferredcites →https://doi.org/10.1109/itsc.2013.6728440openalex-snapshot

Urban residents travel analysis based on mobile communication data

inferredcites →https://doi.org/10.1109/itsc.2013.6728561openalex-snapshot

Map matching accuracy: Energy efficient location sampling using smartphones

inferredcites →https://doi.org/10.1109/itsc.2014.6958106openalex-snapshot

Smartphone sensor platform to study traffic conditions and assess driving performance

inferredcites →https://doi.org/10.1109/itsc.2014.6958194openalex-snapshot

Risk assessment of vehicle cornering events in GNSS data driven insurance telematics

inferredcites →https://doi.org/10.1109/itsc.2016.7795771openalex-snapshot

Unsupervised driving performance assessment using free-positioned smartphones in vehicles

inferredcites →https://doi.org/10.1109/itsc.2016.7795864openalex-snapshot

Dangerous driving behavior detection using smartphone sensors

inferredcites →https://doi.org/10.1109/itst.2011.6060061openalex-snapshot

On the feasibility of utilizing smartphones for vehicular ad hoc networking

inferredcites →https://doi.org/10.1109/itst.2013.6685587openalex-snapshot

A method for driving event detection using SAX on smartphone sensors

inferredcites →https://doi.org/10.1109/ivs.2011.5940500openalex-snapshot

Comparing the GPS capabilities of the iPhone 4 and iPhone 3G for vehicle tracking using FreeSim_Mobile

inferredcites →https://doi.org/10.1109/ivs.2012.6232298openalex-snapshot

Estimating driving behavior by a smartphone

inferredcites →https://doi.org/10.1109/ivs.2013.6629603openalex-snapshot

Driver classification and driving style recognition using inertial sensors

inferredcites →https://doi.org/10.1109/ivs.2013.6629658openalex-snapshot

Full auto-calibration of a smartphone on board a vehicle using IMU and GPS embedded sensors

inferredcites →https://doi.org/10.1109/ivs.2014.6856461openalex-snapshot

DriveSafe: An app for alerting inattentive drivers and scoring driving behaviors

inferredcites →https://doi.org/10.1109/ivs.2015.7225843openalex-snapshot

Sampling-based collision warning system with smartphone in cloud computing environment

inferredcites →https://doi.org/10.1109/ivs.2016.7535388openalex-snapshot

Vehicle speed tracking using chassis vibrations

inferredcites →https://doi.org/10.1109/ivs.2016.7535444openalex-snapshot

Manoeuvre segmentation using smartphone sensors

inferredcites →https://doi.org/10.1109/jiot.2016.2552399openalex-snapshot

Detecting Driver’s Smartphone Usage via Nonintrusively Sensing Driving Dynamics

inferredcites →https://doi.org/10.1109/jsyst.2013.2292721openalex-snapshot

Smartphone-Based Measurement Systems for Road Vehicle Traffic Monitoring and Usage-Based Insurance

inferredcites →https://doi.org/10.1109/kaleidoscope.2014.6858477openalex-snapshot

Proposal of “cyber parallel traffic world” cloud service

inferredcites →https://doi.org/10.1109/lcn.2011.6115556openalex-snapshot

Providing accident detection in vehicular networks through OBD-II devices and Android-based smartphones

inferredcites →https://doi.org/10.1109/mass.2016.044openalex-snapshot

UniCoor: A Smartphone Unified Coordinate System for ITS Applications

inferredcites →https://doi.org/10.1109/mcom.2010.5560598openalex-snapshot

A survey of mobile phone sensing

inferredcites →https://doi.org/10.1109/mcom.2013.6515060openalex-snapshot

LTE for vehicular networking: a survey

inferredcites →https://doi.org/10.1109/mcom.2014.6736756openalex-snapshot

Vehicular cloud networking: architecture and design principles

inferredcites →https://doi.org/10.1109/mits.2014.2328673openalex-snapshot

Driver Behavior Profiling Using Smartphones: A Low-Cost Platform for Driver Monitoring

inferredcites →https://doi.org/10.1109/mits.2014.2343262openalex-snapshot

Insurance Telematics: Opportunities and Challenges with the Smartphone Solution

inferredcites →https://doi.org/10.1109/mits.2016.2573338openalex-snapshot

Cloud-Based Pedestrian Road-Safety with Situation-Adaptive Energy-Efficient Communication

inferredcites →https://doi.org/10.1109/mmm.2013.2296213openalex-snapshot

Handheld Computers: Smartphone-Centric Wireless Applications

inferredcites →https://doi.org/10.1109/mnet.2013.6616115openalex-snapshot

Toward cloud-based vehicular networks with efficient resource management

inferredcites →https://doi.org/10.1109/mprv.2008.80openalex-snapshot

OpenStreetMap: User-Generated Street Maps

inferredcites →https://doi.org/10.1109/mprv.2011.28openalex-snapshot

LittleRock: Enabling Energy-Efficient Continuous Sensing on Mobile Phones

inferredcites →https://doi.org/10.1109/ngmast.2013.19openalex-snapshot

Road Hazard Detection and Sharing with Multimodal Sensor Analysis on Smartphones

inferredcites →https://doi.org/10.1109/norsig.2006.275238openalex-snapshot

A Versatile PC-Based Platform For Inertial Navigation

inferredcites →https://doi.org/10.1109/percomw.2012.6197543openalex-snapshot

Road condition monitoring and alert application: Using in-vehicle Smartphone as Internet-connected sensor

inferredcites →https://doi.org/10.1109/plans.2010.5507246openalex-snapshot

Camera-aided inertial navigation using epipolar points

inferredcites →https://doi.org/10.1109/plans.2012.6236884openalex-snapshot

High-performance, low cost inertial MEMS: A market in motion!

inferredcites →https://doi.org/10.1109/plans.2012.6236927openalex-snapshot

Using inertial sensors of iPhone 4 for car navigation

inferredcites →https://doi.org/10.1109/sas.2015.7133607openalex-snapshot

A first look at vehicle data collection via smartphone sensors

inferredcites →https://doi.org/10.1109/scvt.2015.7374228openalex-snapshot

Validation study of risky event classification using driving pattern factors

inferredcites →https://doi.org/10.1109/smc.2014.6974444openalex-snapshot

Estimating true speed of moving vehicle using smartphone-based GPS measurement

inferredcites →https://doi.org/10.1109/snpd.2015.7176249openalex-snapshot

A comparison of driving behaviour prediction algorithm using multi-sensory data on a smartphone

inferredcites →https://doi.org/10.1109/ssci.2015.70openalex-snapshot

Performance Comparison of Dynamic Time Warping (DTW) and a Maximum Likelihood (ML) Classifier in Measuring Driver Behavior with Smartphones

inferredcites →https://doi.org/10.1109/ssci.2015.71openalex-snapshot

Comparison of GPS and MEMS Support for Smartphone-Based Driver Behavior Monitoring

inferredcites →https://doi.org/10.1109/ssp.2005.1628820openalex-snapshot

Statistical signal processing for automotive safety systems

inferredcites →https://doi.org/10.1109/tim.2006.887190openalex-snapshot

A Methodology for the Evaluation of a GPS Receiver Performance in Telematics Applications

inferredcites →https://doi.org/10.1109/tim.2009.2020844openalex-snapshot

Discounted Least-Squares Gearshift Detection Using Accelerometer Data

inferredcites →https://doi.org/10.1109/tim.2014.2315739openalex-snapshot

Indirect Instantaneous Car-Fuel Consumption Measurements

inferredcites →https://doi.org/10.1109/tim.2014.2329388openalex-snapshot

Calibration of an IMU-Camera Cluster Using Planar Mirror Reflection and Its Observability Analysis

inferredcites →https://doi.org/10.1109/tip.2014.2360120openalex-snapshot

Online Camera-Gyroscope Autocalibration for Cell Phones

inferredcites →https://doi.org/10.1109/tits.2008.2011712openalex-snapshot

In-Car Positioning and Navigation Technologies—A Survey

inferredcites →https://doi.org/10.1109/tits.2011.2158001openalex-snapshot

Data-Driven Intelligent Transportation Systems: A Survey

inferredcites →https://doi.org/10.1109/tits.2012.2187640openalex-snapshot

Safe Driving Using Mobile Phones

inferredcites →https://doi.org/10.1109/tits.2013.2248058openalex-snapshot

An Optimization Framework for Driver Feedback Systems

inferredcites →https://doi.org/10.1109/tits.2013.2266661openalex-snapshot

Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis

inferredcites →https://doi.org/10.1109/tits.2013.2287257openalex-snapshot

ITS for Sustainable Mobility: A Survey on Applications and Impact Assessment Tools

inferredcites →https://doi.org/10.1109/tits.2015.2431293openalex-snapshot

Detection of Dangerous Cornering in GNSS-Data-Driven Insurance Telematics

inferredcites →https://doi.org/10.1109/tits.2015.2462084openalex-snapshot

Driver Behavior Analysis for Safe Driving: A Survey

inferredcites →https://doi.org/10.1109/tits.2016.2516252openalex-snapshot

Developing and Validating a Statistical Model for Travel Mode Identification on Smartphones

inferredcites →https://doi.org/10.1109/tits.2016.2646760openalex-snapshot

Smartphone-Based Adaptive Driving Maneuver Detection: A Large-Scale Evaluation Study

inferredcites →https://doi.org/10.1109/tiv.2016.2588978openalex-snapshot

IMU-Based Smartphone-to-Vehicle Positioning

inferredcites →https://doi.org/10.1109/tmc.2011.116openalex-snapshot

Enhancing Privacy and Accuracy in Probe Vehicle-Based Traffic Monitoring via Virtual Trip Lines

inferredcites →https://doi.org/10.1109/tmc.2012.117openalex-snapshot

On Power and Throughput Tradeoffs of WiFi and Bluetooth in Smartphones

inferredcites →https://doi.org/10.1109/tmc.2012.92openalex-snapshot

Sensing Driver Phone Use with Acoustic Ranging through Car Speakers

inferredcites →https://doi.org/10.1109/tmc.2013.136openalex-snapshot

How Long to Wait? Predicting Bus Arrival Time With Mobile Phone Based Participatory Sensing

inferredcites →https://doi.org/10.1109/tmc.2014.2309959openalex-snapshot

A Feasibility Study and Development Framework Design for Realizing Smartphone-Based Vehicular Networking Systems

inferredcites →https://doi.org/10.1109/tmc.2015.2411270openalex-snapshot

SenSpeed: Sensing Driving Conditions to Estimate Vehicle Speed in Urban Environments

inferredcites →https://doi.org/10.1109/tmc.2016.2597839openalex-snapshot

Pothole in the Dark: Perceiving Pothole Profiles with Participatory Urban Vehicles

inferredcites →https://doi.org/10.1109/tmc.2016.2618873openalex-snapshot

Fine-Grained Abnormal Driving Behaviors Detection and Identification with Smartphones

inferredcites →https://doi.org/10.1109/tpds.2013.194openalex-snapshot

Bumping: A Bump-Aided Inertial Navigation Method for Indoor Vehicles Using Smartphones

inferredcites →https://doi.org/10.1109/tsp.2013.2274639openalex-snapshot

Magnetometer Modeling and Validation for Tracking Metallic Targets

inferredcites →https://doi.org/10.1109/tvt.2015.2480004openalex-snapshot

Toward Vehicle-Assisted Cloud Computing for Smartphones

inferredcites →https://doi.org/10.1109/vetecs.2011.5956528openalex-snapshot

Survey on Energy Consumption Entities on the Smartphone Platform

inferredcites →https://doi.org/10.1109/vnc.2009.5416384openalex-snapshot

A VANET-based emergency vehicle warning system

inferredcites →https://doi.org/10.1109/vtcspring.2013.6692553openalex-snapshot

Evaluating the Feasibility of Using Smartphones for ITS Safety Applications

inferredcites →https://doi.org/10.1109/wf-iot.2014.6803174openalex-snapshot

A survey of Internet-of-Things: Future vision, architecture, challenges and services

inferredcites →https://doi.org/10.1109/wowmom.2011.5986384openalex-snapshot

New insights from the analysis of free flow vehicular traffic in highways

inferredcites →https://doi.org/10.1109/wowmom.2015.7158210openalex-snapshot

Opportunistic calibration of smartphone orientation in a vehicle

inferredcites →https://doi.org/10.1109/wpnc.2013.6533261openalex-snapshot

Smartphone-based sensor fusion for improved vehicular navigation

inferredcites →https://doi.org/10.1111/j.1467-9671.2009.01152.xopenalex-snapshot

Accuracy of iPhone Locations: A Comparison of Assisted GPS, WiFi and Cellular Positioning

inferredcites →https://doi.org/10.1115/dscc2015-9716openalex-snapshot

Smartphone-Based Wheel Imbalance Detection

inferredcites →https://doi.org/10.1136/bmj.38537.397512.55openalex-snapshot

Role of mobile phones in motor vehicle crashes resulting in hospital attendance: a case-crossover study

inferredcites →https://doi.org/10.1142/s1793962314410062openalex-snapshot

Statistical analysis of road–vehicle–driver interaction as an enabler to designing behavioral models

inferredcites →https://doi.org/10.1145/1182807.1182821openalex-snapshot

CarTel

inferredcites →https://doi.org/10.1145/1378600.1378605openalex-snapshot

The pothole patrol

inferredcites →https://doi.org/10.1145/1460412.1460444openalex-snapshot

Nericell

inferredcites →https://doi.org/10.1145/1555816.1555839openalex-snapshot

EnTracked

inferredcites →https://doi.org/10.1145/1689239.1689243openalex-snapshot

Using mobile phones to determine transportation modes

inferredcites →https://doi.org/10.1145/1791212.1791285openalex-snapshot

Enabling energy efficient continuous sensing on mobile phones with LittleRock

inferredcites →https://doi.org/10.1145/1814433.1814463openalex-snapshot

Energy-efficient rate-adaptive GPS-based positioning for smartphones

inferredcites →https://doi.org/10.1145/1869983.1869993openalex-snapshot

Cooperative transit tracking using smart-phones

inferredcites →https://doi.org/10.1145/1899662.1899664openalex-snapshot

Accuracy of positioning data on smartphones

inferredcites →https://doi.org/10.1145/1999995.2000008openalex-snapshot

SignalGuru

inferredcites →https://doi.org/10.1145/1999995.2000025openalex-snapshot

Energy-efficient trajectory tracking for mobile devices

inferredcites →https://doi.org/10.1145/2030613.2030625openalex-snapshot

Detecting driver phone use leveraging car speakers

inferredcites →https://doi.org/10.1145/2070942.2070952openalex-snapshot

Mobility prediction-based smartphone energy optimization for everyday location monitoring

inferredcites →https://doi.org/10.1145/2248371.2248415openalex-snapshot

Your smartphone can watch the road and you

inferredcites →https://doi.org/10.1145/2406367.2406412openalex-snapshot

Driving behavior analysis with smartphones

inferredcites →https://doi.org/10.1145/2426656.2426666openalex-snapshot

Energy efficient GPS sensing with cloud offloading

inferredcites →https://doi.org/10.1145/2462456.2464447openalex-snapshot

Sensing vehicle dynamics for determining driver phone use

inferredcites →https://doi.org/10.1145/2462456.2465428openalex-snapshot

CarSafe app

inferredcites →https://doi.org/10.1145/2513456.2513472openalex-snapshot

Using machine learning to predict the driving context whilst driving

inferredcites →https://doi.org/10.1145/2517351.2517367openalex-snapshot

Accelerometer-based transportation mode detection on smartphones

inferredcites →https://doi.org/10.1145/2556288.2557321openalex-snapshot

A smartphone-based sensing platform to model aggressive driving behaviors

inferredcites →https://doi.org/10.1145/2742647.2742659openalex-snapshot

Invisible Sensing of Vehicle Steering with Smartphones

inferredcites →https://doi.org/10.1145/2750858.2804287openalex-snapshot

Experiences with eNav

inferredcites →https://doi.org/10.1145/2753497.2753535openalex-snapshot

Driving Behavior Analysis for Smartphone-based Insurance Telematics

inferredcites →https://doi.org/10.1145/2800835.2800981openalex-snapshot

A smartphone based method to enhance road pavement anomaly detection by analyzing the driver behavior

inferredcites →https://doi.org/10.1145/2800835.2804392openalex-snapshot

Smartphone based estimation of relative risk propensity for inducing good driving behavior

inferredcites →https://doi.org/10.1145/2820783.2820824openalex-snapshot

semMatch

inferredcites →https://doi.org/10.1145/2820783.2820852openalex-snapshot

Hup-me

inferredcites →https://doi.org/10.1145/2833312.2849555openalex-snapshot

An enhanced automated system for evaluating harsh driving using smartphone sensors

showing the first 200 of 238

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Acceptance of Data Sharing in Smartphone Apps from Key Industries of the Digital Transformation: A Representative Population Survey for Germany

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Smartphone Location Spoofing Attack in Wireless Networks

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Personalised Smart Mobility Model for Smart Movement During Pandemic Covid-19

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Driver Distraction Detection Using Artificial Intelligence and Smart Devices

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Wireless Sensor Networks Enabled Urban Traffic Management

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Wireless Sensor Networks Enabled Urban Traffic Management

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An Implementation of Large-Scale Holonic Multi-agent Society Simulator and Agent Behavior Model

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Vehicular Trajectory Big Data: Driving Behavior Recognition Algorithm Based on Deep Learning

inferred← citeshttps://doi.org/10.1007/978-981-16-6963-7_101openalex-snapshot

Multi-level Road Damage Identification Algorithm Based on Vehicle-Mounted Smartphone

inferred← citeshttps://doi.org/10.1007/978-981-96-8516-5_24openalex-snapshot

Telematics Revolution: Enhancing Electric Mobility

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Trust-Building in Peer-to-Peer Carsharing: Design Case Study for Algorithm-Based Reputation Systems

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Can driving patterns predict identity and gender?

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An innovative approach for high-performance road pavement monitoring using black box

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Real-time traffic congestion detection using smartphone multi-sensor data and stacked ensemble learning

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Vehicle telematics: An Internet of Things and Big Data approach

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A feature learning approach based on XGBoost for driving assessment and risk prediction

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Real-time monitoring of driver distraction: State-of-the-art and future insights

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Bibliometric review of telematics-based automobile insurance: Mapping the landscape of research and knowledge

inferred← citeshttps://doi.org/10.1016/j.aap.2025.108331openalex-snapshot

A national randomized field experiment testing the impact of simulated usage-based insurance programs on driver safety

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Blockchain: The operating system of smart cities

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Using smartphone-GPS data to understand pedestrian-scale behavior in urban settings: A review of themes and approaches

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CNN-based driving maneuver classification using multi-sliding window fusion

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Socially-aware congestion control in ad-hoc networks: Current status and the way forward

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Smartphone sensing for understanding driving behavior: Current practice and challenges

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Multifusion schemes of INS/GNSS/GCPs/V-SLAM applied using data from smartphone sensors for land vehicular navigation applications

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Eco-efficient driving pattern evaluation for sustainable road transport based on contextually enriched automotive data

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Learning-based methods for spatial road safety analysis using in-vehicle telematics data: A systematic review

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Workings & issues allied with telematics system

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A sensor-centric survey on the development of smartphone measurement and sensing systems

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An autonomous smartphone embedded inertial sensors aided vehicular navigation method in satellite-denied areas

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Asfault: A low-cost system to evaluate pavement conditions in real-time using smartphones and machine learning

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Can smartphones serve as an instrument for driver behavior of intelligent transportation systems research? A systematic review: Challenges, motivations, and recommendations

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A navigation framework for bicycle riders based on environmental and contextual factors

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Design of a data-driven communication framework as personalized support for users of ADAS.

inferred← citeshttps://doi.org/10.1016/j.procs.2018.07.191openalex-snapshot

Mobile Systems applied to Traffic Management and Safety: a state of the art

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The Computer System Architecture of our first real-time real-world experiment of adaptive traffic signals with "connected" vehicles

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Dynamic robust analysis of IoV link delay in cellular Telematics and smart edge networking base on deep reinforcement learning

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Driving behavior recognition and fuel economy evaluation for heavy-duty vehicles

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Smartphones vs. in-vehicle data acquisition systems as tools for naturalistic driving studies: A comparative review

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Acceptance of data sharing in smartphone apps from key industries of the digital transformation: A representative population survey for Germany

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A context aware system for driving style evaluation by an ensemble learning on smartphone sensors data

inferred← citeshttps://doi.org/10.1016/j.trc.2018.03.023openalex-snapshot

Smartphones as an integrated platform for monitoring driver behaviour: The role of sensor fusion and connectivity

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A machine learning based personalized system for driving state recognition

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Hybrid of discrete wavelet transform and adaptive neuro fuzzy inference system for overall driving behavior recognition

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Subjective driving experience recorded live: A naturalistic driving approach

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Descriptive and conceptual structure of naturalistic driving study research: A computational literature review

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Road profile estimation and half-car model identification through the automated processing of smartphone data

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IMPROVING AUTOMOBILE INSURANCE CLAIMS FREQUENCY PREDICTION WITH TELEMATICS CAR DRIVING DATA

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Cost‐effective ubiquitous method for motor vehicle speed estimation using smartphones

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Emerging practices and research issues for big data analytics in freight transportation

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A similarity-based neuro-fuzzy modeling for driving behavior recognition applying fusion of smartphone sensors

inferred← citeshttps://doi.org/10.1080/15472450.2020.1852083openalex-snapshot

Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic

inferred← citeshttps://doi.org/10.1080/15472450.2025.2515567openalex-snapshot

Feature importance from novel dataset for on-device transport mode detection

inferred← citeshttps://doi.org/10.1108/agjsr-03-2023-0122openalex-snapshot

Severe nomophobia is a predictor of poor road safety among motorists

inferred← citeshttps://doi.org/10.1109/access.2018.2856521openalex-snapshot

Positioning Performance Assessment of Geodetic, Automotive, and Smartphone GNSS Receivers in Standardized Road Scenarios

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Enabling Reproducible Research in Sensor-Based Transportation Mode Recognition With the Sussex-Huawei Dataset

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A Deep-Learning-Based Scheme for Detecting Driver Cell-Phone Use

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QDetect: Time Series Querying Based Road Anomaly Detection

inferred← citeshttps://doi.org/10.1109/access.2021.3066422openalex-snapshot

Toward a Cost-Effective Motorway Traffic State Estimation From Sparse Speed and GPS Data

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Smartphone-Based CO2e Emission Estimation Using Transportation Mode Classification

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Development of a Monitoring System for a Basic Utility Vehicle

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Real-Time Data-Intensive Telematics Functionalities at the Extreme Edge of the Network: Experience with the PrEstoCloud Project

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Vehicle Safety and Comfort Control base on Semi-Active Suspension

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Floating Car Data Adaptive Traffic Signals

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Calibration and Pre-Processing Techniques for a Smartphone-Based Driving Events Identification and Classification System

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Monitoring road surface anomalies towards dynamic road mapping for future smart cities

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Risk Analysis of Dangerous Driving Behaviors on Highways: A Prediction-Based Driving Risk Assessment Framework

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Unified Motorcycle Safety Architecture with Navigation-Assisted Signalling, IMU-Based Turn Validation, and Accident Detection

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Highway Driving Events Identification and Classification using Smartphone

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An IoT Architecture for LEED Certification of Existing Buildings

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Concepts, Analysis, Issues of smartphone and Smart devices: A survey

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An Azure IoT Hub-Based Fleet Management System for Connected Vehicles

inferred← citeshttps://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics50389.2020.00051openalex-snapshot

Abnormal Road Surface Detection Based on Smart Phone Acceleration Sensor and Crowdsourcing

inferred← citeshttps://doi.org/10.1109/itsc.2017.8317592openalex-snapshot

Inertial sensor driven smartphone and automobile coordinate system alignment

inferred← citeshttps://doi.org/10.1109/itsc.2019.8917001openalex-snapshot

Classifying Ego-Vehicle Road Maneuvers from Dashcam Video

inferred← citeshttps://doi.org/10.1109/iwcmc.2018.8450418openalex-snapshot

Utilization of Wavelet Packet Sensor De-noising for Accurate Positioning in Intelligent Road Services

inferred← citeshttps://doi.org/10.1109/iwcmc.2018.8450443openalex-snapshot

An Online Time Warping based Map Matching for Vulnerable Road Users’ Safety

inferred← citeshttps://doi.org/10.1109/jcn.2020.000003openalex-snapshot

Simplified KF-based energy-efficient vehicle positioning for smartphones

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Towards a Practical Crowdsensing System for Road Surface Conditions Monitoring

inferred← citeshttps://doi.org/10.1109/jiot.2020.3001566openalex-snapshot

TrajData: On Vehicle Trajectory Collection With Commodity Plug-and-Play OBU Devices

inferred← citeshttps://doi.org/10.1109/jsen.2018.2856112openalex-snapshot

A Genetic Programming Approach for Driving Score Calculation in the Context of Intelligent Transportation Systems

inferred← citeshttps://doi.org/10.1109/jsen.2020.3018880openalex-snapshot

Fifteen Years of Progress at Zero Velocity: A Review

inferred← citeshttps://doi.org/10.1109/jsen.2025.3603298openalex-snapshot

IMU Alignment Using Maximum Likelihood Estimation

inferred← citeshttps://doi.org/10.1109/jsen.2025.3645900openalex-snapshot

Bicycle Sensor Platform (BSP) for Road Anomaly Detection Using a Physics-Based and Machine Learning-Aided Approach

inferred← citeshttps://doi.org/10.1109/mnet.011.2000521openalex-snapshot

IoT for Certified Sustainability in Smart Buildings

inferred← citeshttps://doi.org/10.1109/most57249.2023.00015openalex-snapshot

Real-Time Vehicle Localization Using Steering Wheel Angle in Urban Cities

inferred← citeshttps://doi.org/10.1109/ojits.2021.3109039openalex-snapshot

A Review of UTDrive Studies: Learning Driver Behavior From Naturalistic Driving Data

inferred← citeshttps://doi.org/10.1109/percom.2017.7917868openalex-snapshot

RoVi: Continuous transport infrastructure monitoring framework for preventive maintenance

inferred← citeshttps://doi.org/10.1109/percom45495.2020.9127359openalex-snapshot

Detecting Mobility Context over Smartphones using Typing and Smartphone Engagement Patterns

inferred← citeshttps://doi.org/10.1109/percomworkshops48775.2020.9156080openalex-snapshot

Driver authentication by quantifying driving style using GPS only

inferred← citeshttps://doi.org/10.1109/smc.2018.00217openalex-snapshot

Analysis and Development of a Novel Algorithm for the In-vehicle Hand-Usage of a Smartphone

inferred← citeshttps://doi.org/10.1109/tafgen.2018.8580463openalex-snapshot

Weigh-in-motion Using Machine Learning and Telematics

inferred← citeshttps://doi.org/10.1109/tcns.2025.3623943openalex-snapshot

Eco-Driving Incentive Mechanisms for Mitigating Emissions in Urban Transportation

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Urban Intelligent Transport Management Systems

inferred← citeshttps://doi.org/10.1109/tencon.2019.8929322openalex-snapshot

A Blockchain-Based Approach for Usage Based Insurance and Incentive in ITS

inferred← citeshttps://doi.org/10.1109/tii.2021.3075683openalex-snapshot

Privacy-Preserving Aggregation for Federated Learning-Based Navigation in Vehicular Fog

inferred← citeshttps://doi.org/10.1109/tim.2018.2803998openalex-snapshot

Fusion of OBD and GNSS Measurements of Speed

inferred← citeshttps://doi.org/10.1109/tim.2019.2913055openalex-snapshot

Trip-Based Measures of Naturalistic Driving: Considerations and Connections With Cognitive Status in Older Adult Drivers

inferred← citeshttps://doi.org/10.1109/tim.2022.3221754openalex-snapshot

Consumer-Grade Inertial Measurement Units Enhanced Indoor Magnetic Field Matching Positioning Scheme

inferred← citeshttps://doi.org/10.1109/tits.2017.2749459openalex-snapshot

A Survey of the Connected Vehicle Landscape—Architectures, Enabling Technologies, Applications, and Development Areas

inferred← citeshttps://doi.org/10.1109/tits.2017.2773084openalex-snapshot

Evaluation of Detection Approaches for Road Anomalies Based on Accelerometer Readings—Addressing Who’s Who

inferred← citeshttps://doi.org/10.1109/tits.2018.2845113openalex-snapshot

Driver and Passenger Identification From Smartphone Data

inferred← citeshttps://doi.org/10.1109/tits.2019.2896672openalex-snapshot

Convolutional Neural Network With Adaptive Regularization to Classify Driving Styles on Smartphones

inferred← citeshttps://doi.org/10.1109/tits.2019.2896708openalex-snapshot

Smartphone Placement Within Vehicles

inferred← citeshttps://doi.org/10.1109/tits.2019.2909107openalex-snapshot

An Ensemble Learning-Based Vehicle Steering Detector Using Smartphones

inferred← citeshttps://doi.org/10.1109/tits.2019.2926639openalex-snapshot

How Smartphone Accelerometers Reveal Aggressive Driving Behavior?—The Key is the Representation

inferred← citeshttps://doi.org/10.1109/tits.2019.2940481openalex-snapshot

A Comprehensive Review of Driver Behavior Analysis Utilizing Smartphones

inferred← citeshttps://doi.org/10.1109/tits.2019.2955760openalex-snapshot

Combining Machine Learning and Dynamic Time Wrapping for Vehicle Driving Event Detection Using Smartphones

inferred← citeshttps://doi.org/10.1109/tits.2020.2971214openalex-snapshot

A Mobile Telematics Pattern Recognition Framework for Driving Behavior Extraction

inferred← citeshttps://doi.org/10.1109/tits.2020.2975043openalex-snapshot

End-to-End Autonomous Driving Risk Analysis: A Behavioural Anomaly Detection Approach

inferred← citeshttps://doi.org/10.1109/tits.2020.2987877openalex-snapshot

Online Assessment of Driving Riskiness via Smartphone-Based Inertial Measurements

inferred← citeshttps://doi.org/10.1109/tits.2020.3016288openalex-snapshot

A Fused Method of Machine Learning and Dynamic Time Warping for Road Anomalies Detection

inferred← citeshttps://doi.org/10.1109/tits.2020.3031080openalex-snapshot

Map Matching and Lane Detection Based on Markovian Behavior, GIS, and IMU Data

inferred← citeshttps://doi.org/10.1109/tits.2021.3065900openalex-snapshot

One Step Further Towards Real-Time Driving Maneuver Recognition Using Phone Sensors

inferred← citeshttps://doi.org/10.1109/tits.2022.3147982openalex-snapshot

Finding and Indexing Vehicle Maneuvers From Dashboard Camera Video

inferred← citeshttps://doi.org/10.1109/tits.2024.3422037openalex-snapshot

Learning Position From Vehicle Vibration Using an Inertial Measurement Unit

inferred← citeshttps://doi.org/10.1109/tits.2025.3594956openalex-snapshot

Accurate Vehicle Maneuver Analysis Using Smartphone GNSS Carrier-Phase Measurements

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Powered Two-Wheeler Detection Using Crowdsourced Smartphone Data

inferred← citeshttps://doi.org/10.1109/tiv.2022.3182218openalex-snapshot

Applications and Services Using Vehicular Exteroceptive Sensors: A Survey

inferred← citeshttps://doi.org/10.1109/tmc.2019.2947443openalex-snapshot

Becoming Smarter at Characterizing Potholes and Speed Bumps from Smartphone Data — Introducing a Second-Generation Inference Problem

inferred← citeshttps://doi.org/10.1109/tmc.2020.3017682openalex-snapshot

To Predict or to Relay: Tracking Neighbors via Beaconing in Heterogeneous Vehicle Conditions

inferred← citeshttps://doi.org/10.1109/tvt.2021.3122197openalex-snapshot

Comparing Algorithms for Aggressive Driving Event Detection Based on Vehicle Motion Data

inferred← citeshttps://doi.org/10.1109/tvt.2023.3246303openalex-snapshot

mmWave 6D Radio Localization With a Snapshot Observation From a Single BS

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Adaptive Repetition Control Using Terminal Mobility for Uplink Grant-Free URLLC

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A Framework for Adaptive Resolution Geo-Referencing in Intelligent Vehicular Services

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Machine Learning-based Services Provisioning for Intelligent Internet of Vehicles

inferred← citeshttps://doi.org/10.1117/12.2634693openalex-snapshot

Risk assessment method for lane-changing vehicles based on surrogate safety measure

inferred← citeshttps://doi.org/10.1145/3356250.3360037openalex-snapshot

ALT

inferred← citeshttps://doi.org/10.1145/3365921.3365924openalex-snapshot

Active Safety for Individual and Connected Vehicles using Mobile Phone Only

inferred← citeshttps://doi.org/10.1145/3534603openalex-snapshot

Driver Maneuver Identification with Multi-Representation Learning and Meta Model Update Designs

inferred← citeshttps://doi.org/10.1145/3774906.3800472openalex-snapshot

UWB-Based Localization of Smartphones inside a Vehicle to Prevent Distracted Driving

inferred← citeshttps://doi.org/10.1155/2018/9702730openalex-snapshot

Investigations on Driver Unique Identification from Smartphone’s GPS Data Alone

inferred← citeshttps://doi.org/10.1155/2019/9085238openalex-snapshot

Rapid Driving Style Recognition in Car-Following Using Machine Learning and Vehicle Trajectory Data

inferred← citeshttps://doi.org/10.11591/ijece.v11i5.pp3809-3817openalex-snapshot

IoT for wheel alignment monitoring system

inferred← citeshttps://doi.org/10.1177/0018720817752595openalex-snapshot

Relationship Between Kinematic and Physiological Indices During Braking Events of Different Intensities

inferred← citeshttps://doi.org/10.1177/03611981211057532openalex-snapshot

From Traditional to Autonomous Vehicles: A Systematic Review of Data Availability

inferred← citeshttps://doi.org/10.1177/03611981261429476openalex-snapshot

Smartphone Sensor-Based Driver and Passenger Classification: Exploring Techniques for Resource-Constrained Devices

inferred← citeshttps://doi.org/10.1177/09726225261464709openalex-snapshot

Exploring Post-adoptive Customer Satisfaction with Connected Technologies: The Case of Tyre-as-a-service

inferred← citeshttps://doi.org/10.1177/1550147719891319openalex-snapshot

Enabling real-time road anomaly detection via mobile edge computing

inferred← citeshttps://doi.org/10.1186/s12544-019-0380-6openalex-snapshot

Response-based methods to measure road surface irregularity: a state-of-the-art review

inferred← citeshttps://doi.org/10.1186/s12544-021-00516-zopenalex-snapshot

Transport behavior-mining from smartphones: a review

inferred← citeshttps://doi.org/10.1186/s12889-023-16886-zopenalex-snapshot

FEEDBACK trial - A randomised control trial to investigate the effect of personalised feedback and financial incentives on reducing the incidence of road crashes

inferred← citeshttps://doi.org/10.13053/rcs-148-8-27openalex-snapshot

Adquisición de señales digitales utilizando teléfonos inteligentes y FIWARE

inferred← citeshttps://doi.org/10.17323/2072-8166.2021.5.167.191openalex-snapshot

Правовое регулирование информационных систем автотранспортной телематики в России и за рубежом

inferred← citeshttps://doi.org/10.2139/ssrn.5419034openalex-snapshot

Real-time crash prediction using in-vehicle cameras and GPS sensors: An exploration through deep and machine learning techniques

inferred← citeshttps://doi.org/10.2139/ssrn.7383331openalex-snapshot

An IoT-Based Embedded Machine Learning Framework for Real-Time Anomalous Driving Behaviour Detection

inferred← citeshttps://doi.org/10.2172/1405919openalex-snapshot

Telematics Framework for Federal Agencies: Lessons from the Marine Corps Fleet

inferred← citeshttps://doi.org/10.23919/picmet.2019.8893870openalex-snapshot

Usage-Based Auto Insurance on the Swedish Market: A Case Study

inferred← citeshttps://doi.org/10.31358/techne.v20i1.255openalex-snapshot

Multimedia Vehicular Smartphone Docking with GPS Tracking

inferred← citeshttps://doi.org/10.3169/itej.75.758openalex-snapshot

Technologies for AI Dashcam: DRIVE CHART

inferred← citeshttps://doi.org/10.3233/ida-230971openalex-snapshot

Machine learning based car accident risk prediction for usage-based insurance

inferred← citeshttps://doi.org/10.32657/10356/136550openalex-snapshot

Accident risk assessment and prediction using surrogate indicators and machine learning

inferred← citeshttps://doi.org/10.32657/10356/137426openalex-snapshot

Road infrastructure design towards passenger ride comfort for autonomous public transport

inferred← citeshttps://doi.org/10.3390/app11219953openalex-snapshot

Design of a Printed 5G Monopole Antenna on Vehicle Window Glass Using Parasitic Elements and a Lattice-Structure Reflector for Gain Enhancement

inferred← citeshttps://doi.org/10.3390/app8050724openalex-snapshot

Accurate and Detailed Transversal Road Section Characteristics Extraction Using Laser Scanner

inferred← citeshttps://doi.org/10.3390/app9152962openalex-snapshot

“Texting & Driving” Detection Using Deep Convolutional Neural Networks

inferred← citeshttps://doi.org/10.3390/electronics9010114openalex-snapshot

Floating Car Data Adaptive Traffic Signals: A Description of the First Real-Time Experiment with “Connected” Vehicles

inferred← citeshttps://doi.org/10.3390/electronics9030416openalex-snapshot

Identification of Warning Situations in Road Using Cloud Computing Technologies and Sensors Available in Mobile Devices: A Systematic Review

inferred← citeshttps://doi.org/10.3390/eng5040177openalex-snapshot

A Comprehensive Review of Smartphone and Other Device-Based Techniques for Road Surface Monitoring

inferred← citeshttps://doi.org/10.3390/info15010014openalex-snapshot

A Comprehensive Survey of Threats in Platooning—A Cloud-Assisted Connected and Autonomous Vehicle Application

inferred← citeshttps://doi.org/10.3390/mca23020019openalex-snapshot

How Am I Driving? Using Genetic Programming to Generate Scoring Functions for Urban Driving Behavior

inferred← citeshttps://doi.org/10.3390/s18051391openalex-snapshot

Robust Pedestrian Dead Reckoning Based on MEMS-IMU for Smartphones

inferred← citeshttps://doi.org/10.3390/s18071984openalex-snapshot

Road Anomalies Detection System Evaluation

inferred← citeshttps://doi.org/10.3390/s19071618openalex-snapshot

Steering Angle Assisted Vehicular Navigation Using Portable Devices in GNSS-Denied Environments

inferred← citeshttps://doi.org/10.3390/s19092111openalex-snapshot

Lateral Motion Prediction of On-Road Preceding Vehicles: A Data-Driven Approach

inferred← citeshttps://doi.org/10.3390/s19235283openalex-snapshot

Continuous Authentication of Automotive Vehicles Using Inertial Measurement Units

inferred← citeshttps://doi.org/10.3390/s20020451openalex-snapshot

Abnormal Road Surface Recognition Based on Smartphone Acceleration Sensor

inferred← citeshttps://doi.org/10.3390/s20040997openalex-snapshot

Use Of Smartphones for Ensuring Vulnerable Road User Safety through Path Prediction and Early Warning: An In-Depth Review of Capabilities, Limitations and Their Applications in Cooperative Intelligent Transport Systems

inferred← citeshttps://doi.org/10.3390/s20082269openalex-snapshot

Vehicle Cooperative Network Model Based on Hypergraph in Vehicular Fog Computing

inferred← citeshttps://doi.org/10.3390/s20092600openalex-snapshot

Estimating the Necessary Amount of Driving Data for Assessing Driving Behavior

inferred← citeshttps://doi.org/10.3390/s20226425openalex-snapshot

On the Application of Time Frequency Convolutional Neural Networks to Road Anomalies’ Identification with Accelerometers and Gyroscopes

inferred← citeshttps://doi.org/10.3390/s20226567openalex-snapshot

Optical and Mass Flow Sensors for Aiding Vehicle Navigation in GNSS Denied Environment

inferred← citeshttps://doi.org/10.3390/s21103517openalex-snapshot

Regulatory and Technical Constraints: An Overview of the Technical Possibilities and Regulatory Limitations of Vehicle Telematic Data

inferred← citeshttps://doi.org/10.3390/su15086610openalex-snapshot

Sustainable Road Pothole Detection: A Crowdsourcing Based Multi-Sensors Fusion Approach

inferred← citeshttps://doi.org/10.3390/vehicles8100226openalex-snapshot

A Driving Skill Evaluation Framework Based on Vehicle-State Deviations from Condition-Matched Model Responses

inferred← citeshttps://doi.org/10.35490/ec3.2022.169openalex-snapshot

Roadway pavement roughness evaluation based on smart-city principles, vibration sensing and machine learning

inferred← citeshttps://doi.org/10.37745/ejcsit.2013/vol13n42openalex-snapshot

inferred← citeshttps://doi.org/10.37745/ejcsit.2013/vol13n42111openalex-snapshot

Smartphone-Enabled Vehicular Control: Architectural Frameworks and Technical Benefits of Connected Car Systems

inferred← citeshttps://doi.org/10.3986/9789610506683_19openalex-snapshot

DRAJV mobile application as an example of telematics and GIS usage in insurance

inferred← citeshttps://doi.org/10.3990/1.9789036543637openalex-snapshot

Rolling vibes : continuous transport infrastructure monitoring

inferred← citeshttps://doi.org/10.4018/978-1-7998-1851-9.ch015openalex-snapshot

Tactile Internet and the Remote Surgeon

inferred← citeshttps://doi.org/10.4018/978-1-7998-7708-0.ch038openalex-snapshot

Tactile Internet and the Remote Surgeon

inferred← citeshttps://doi.org/10.4271/12-04-04-0027openalex-snapshot

Surveying Off-Board and Extravehicular Monitoring and Progress Towards Pervasive Diagnostics

inferred← citeshttps://doi.org/10.46254/an11.20210893openalex-snapshot

Situational Awareness in Indoor Emergency Response for First Responders: A Bibliometric Approach

inferred← citeshttps://doi.org/10.47191/jefms/v4-i7-28openalex-snapshot

Information and Communication Technology in Nigeria Insurance Industry: Developments, Challenges and Prospects

inferred← citeshttps://doi.org/10.47756/aihc.y11i1.199openalex-snapshot

Aggressive Driving Behaviors and Immediate Auditory Feedback: A Study in the Wild

inferred← citeshttps://doi.org/10.48550/arxiv.1912.11259openalex-snapshot

Mining User Behaviour from Smartphone data: a literature review

inferred← citeshttps://doi.org/10.48550/arxiv.2002.00764openalex-snapshot

Driver Identification by Neural Network on Extracted Statistical Features from Smartphone Data

inferred← citeshttps://doi.org/10.48550/arxiv.2008.12632openalex-snapshot

Vehicle Telematics Via Exteroceptive Sensors: A Survey

inferred← citeshttps://doi.org/10.4995/thesis/10251/118796openalex-snapshot

Modelling and Real Deployment of C-ITS by Integrating Ground Vehicles and Unmanned Aerial Vehicles

inferred← citeshttps://doi.org/10.5151/simea2022-pap53openalex-snapshot

Plataforma Móvel e Sensores IoT para Detecção do Uso de Cinto de Segurança e Sistema de Gerenciamento de Segurança Veicular

inferred← citeshttps://doi.org/10.5194/isprs-annals-v-1-2020-189-2020openalex-snapshot

INVESTIGATION OF DIFFERENT LOW-COST LAND VEHICLE NAVIGATION SYSTEMS BASED ON CPD SENSORS AND VEHICLE INFORMATION

inferred← citeshttps://doi.org/10.5281/zenodo.38680openalex-snapshot

Bayesian Subspace Methods For Acoustic Signature Recognition Of Vehicles

inferred← citeshttps://doi.org/10.57120/yalvac.1952153openalex-snapshot

IoT Tabanlı Akıllı Araç Kontrol Sistemi: Tasarım, Mobil Entegrasyon ve Performans Analizi

inferred← citeshttps://doi.org/10.58837/chula.the.2018.1325openalex-snapshot

การเพมระดบการยอมรบเทเลเมตกสสำหรบการประกนภยรถยนตในประเทศไทย

inferred← citeshttps://doi.org/10.6084/m9.figshare.24355047openalex-snapshot

Additional file 1 of FEEDBACK trial - A randomised control trial to investigate the effect of personalised feedback and financial incentives on reducing the incidence of road crashes

inferred← citeshttps://doi.org/10.70675/9667ad09zc743z40aczb04azd040465d6762openalex-snapshot

Fog Computing based traffic Safety for Connected Vulnerable Road Users

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.