On the public citation graph
Analysis of driver behaviour through smartphone data: The case of mobile phone use while driving
0 signed · 124 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-07596-9_5openalex-snapshot
The Impact of Using Gamification on the Eco-driving Learning
inferredcites →https://doi.org/10.1016/j.aap.2008.01.009openalex-snapshot
A meta-analysis of the effects of cell phones on driver performance
inferredcites →https://doi.org/10.1016/j.aap.2015.11.015openalex-snapshot
Safety-critical event risk associated with cell phone tasks as measured in naturalistic driving studies: A systematic review and meta-analysis
inferredcites →https://doi.org/10.1016/j.aap.2016.10.006openalex-snapshot
Innovative motor insurance schemes: A review of current practices and emerging challenges
inferredcites →https://doi.org/10.1016/j.jsr.2011.11.004openalex-snapshot
On-Board Safety Monitoring Systems for Driving: Review, Knowledge Gaps, and Framework
inferredcites →https://doi.org/10.1016/j.jsr.2015.06.008openalex-snapshot
Drivers' visual behavior when using handheld and hands-free cell phones
inferredcites →https://doi.org/10.1016/j.promfg.2015.07.869openalex-snapshot
Reviewing In-vehicle Systems to Improve Fuel Efficiency and Road Safety
inferredcites →https://doi.org/10.1016/j.ssci.2010.09.009openalex-snapshot
Driving and telephoning: Relative accident risk when using hand-held and hands-free mobile phones
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.2014.07.011openalex-snapshot
The impact of mobile phone distraction on the braking behaviour of young drivers: A hazard-based duration model
inferredcites →https://doi.org/10.1016/j.trc.2017.03.014openalex-snapshot
Driving analytics using smartphones: Algorithms, comparisons and challenges
inferredcites →https://doi.org/10.1016/j.trf.2006.01.008openalex-snapshot
Mobile phone use – effects of conversation on mental workload and driving speed in rural and urban environments
inferredcites →https://doi.org/10.1016/j.trf.2015.10.023openalex-snapshot
Can novice drivers be motivated to use a smartphone based app that monitors their behavior?
inferredcites →https://doi.org/10.1016/s0001-4575(02)00027-1openalex-snapshot
Effect of cellular telephone conversations and other potential interference on reaction time in a braking response
inferredcites →https://doi.org/10.1056/nejmsa1204142openalex-snapshot
Distracted Driving and Risk of Road Crashes among Novice and Experienced Drivers
inferredcites →https://doi.org/10.1073/pnas.1513271113openalex-snapshot
Driver crash risk factors and prevalence evaluation using naturalistic driving data
inferredcites →https://doi.org/10.1080/15389588.2012.683841openalex-snapshot
An Assessment of Commercial Motor Vehicle Driver Distraction Using Naturalistic Driving Data
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/ivs.2012.6232304openalex-snapshot
Driving coach: A smartphone application to evaluate driving efficient patterns
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/10.1145/2556288.2557321openalex-snapshot
A smartphone-based sensing platform to model aggressive driving behaviors
inferredcites →https://doi.org/10.1155/2013/741240openalex-snapshot
Research and Development of Hybrid Electric Vehicles CAN-Bus Data Monitor and Diagnostic System through OBD-II and Android-Based Smartphones
inferredcites →https://doi.org/10.1518/001872006776412135openalex-snapshot
Examining the Impact of Cell Phone Conversations on Driving Using Meta-Analytic Techniques
inferredcites →https://doi.org/10.3141/2236-03openalex-snapshot
Effects of Mobile Phone Use on Accident Risk
inferredcites →https://doi.org/10.3141/2434-01openalex-snapshot
Compensatory Behavior of Drivers When Conversing on a Cell Phone
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4094751openalex-extracted
Evaluation Method of Naturalistic Driving Behavior for Shared-Electrical Vehicle
inferred← citeshttps://doi.org/10.1001/jamanetworkopen.2024.20218openalex-snapshot
Feedback and Financial Incentives for Reducing Cell Phone Use While Driving
inferred← citeshttps://doi.org/10.1007/978-3-030-61075-3_90openalex-snapshot
Investigating the Correlation of Mobile Phone Use with Trip Characteristics Recorded Through Smartphone Sensors
inferred← citeshttps://doi.org/10.1007/978-3-030-66919-5_24openalex-snapshot
Smartphones, Suitable Tool for Driver Behavior Recognition. A Systematic Review
inferred← citeshttps://doi.org/10.1007/978-3-030-68734-2_8openalex-snapshot
Android Dumpsys Analysis to Indicate Driver Distraction
inferred← citeshttps://doi.org/10.1007/978-3-031-88974-5_18openalex-snapshot
Examining the Impact of Driver Distraction on Speeding Through the Exploitation of Smartphone Sensor Data
inferred← citeshttps://doi.org/10.1007/s00138-025-01727-3openalex-snapshot
An optimal lightweight convolutional Bi-LSTM model-based driver behavior detection and classification
inferred← citeshttps://doi.org/10.1007/s40999-024-00977-yopenalex-snapshot
Calculating Driving Behaviour Score Based on Driving Background
inferred← citeshttps://doi.org/10.1007/s42421-023-00078-7openalex-snapshot
COVID-19 and Driving Behavior: Which Were the Most Crucial Influencing Factors?
inferred← citeshttps://doi.org/10.1016/b978-0-443-33740-6.00019-0openalex-snapshot
Driving toward efficiency: analysis of driver behavior and fuel consumption through machine learning
inferred← citeshttps://doi.org/10.1016/j.aap.2020.105657openalex-snapshot
Combined impact of road and traffic characteristic on driver behavior using smartphone sensor data
inferred← citeshttps://doi.org/10.1016/j.aap.2020.105908openalex-snapshot
Analyzing driver behavior under naturalistic driving conditions: A review
inferred← citeshttps://doi.org/10.1016/j.aap.2021.106012openalex-snapshot
Characterizing phone usage while driving: Safety impact from road and operational perspectives using factor analysis
inferred← citeshttps://doi.org/10.1016/j.aap.2021.106189openalex-snapshot
Spatial analysis of harsh driving behavior events in urban networks using high-resolution smartphone and geometric data
inferred← citeshttps://doi.org/10.1016/j.aap.2021.106226openalex-snapshot
The mere presence of a mobile phone: Does it influence driving performance?
inferred← citeshttps://doi.org/10.1016/j.aap.2021.106349openalex-snapshot
Profiling drivers to assess safe and eco-driving behavior – A systematic review of naturalistic driving studies
inferred← citeshttps://doi.org/10.1016/j.aap.2021.106427openalex-snapshot
Risk-taking behaviors of e-scooter users: A survey in Paris
inferred← citeshttps://doi.org/10.1016/j.aap.2022.106925openalex-snapshot
Investigating the impact of environmental and temporal features on mobile phone distracted driving behavior using phone use data
inferred← citeshttps://doi.org/10.1016/j.aap.2022.106936openalex-snapshot
Analysis of mobile phone use engagement during naturalistic driving through explainable imbalanced machine learning
inferred← citeshttps://doi.org/10.1016/j.aap.2023.107015openalex-snapshot
Modelling braking behaviour of distracted young drivers in car-following interactions: A grouped random parameters duration model with heterogeneity-in-means
inferred← citeshttps://doi.org/10.1016/j.aap.2023.107034openalex-snapshot
The usefulness of artificial intelligence for safety assessment of different transport modes
inferred← citeshttps://doi.org/10.1016/j.aap.2023.107241openalex-snapshot
Real-time monitoring of driver distraction: State-of-the-art and future insights
inferred← citeshttps://doi.org/10.1016/j.aap.2024.107743openalex-snapshot
Analysis of harsh braking and harsh acceleration occurrence via explainable imbalanced machine learning using high-resolution smartphone telematics and traffic data
inferred← citeshttps://doi.org/10.1016/j.aap.2025.108246openalex-snapshot
What does the research tell us about contributory factors related to inattention and driving in rural areas? A systematic review
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2023.108993openalex-snapshot
Utilizing mobile phone sensors and machine learning to detect drivers through right leg motion
inferred← citeshttps://doi.org/10.1016/j.cstp.2025.101379openalex-snapshot
Development of emerging solution for distracted driving: A random parameter ordered probit model approach
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.105881openalex-snapshot
Privacy enabled driver behavior analysis in heterogeneous IoV using federated learning
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.116186openalex-snapshot
An ontology-machine learning based framework for road accident analysis
inferred← citeshttps://doi.org/10.1016/j.envres.2020.109274openalex-snapshot
Use of smartphone apps to monitor human exposure to solar radiation: Comparison between predicted and measured UV index values
inferred← citeshttps://doi.org/10.1016/j.iatssr.2021.07.004openalex-snapshot
Trip characteristics impact on the frequency of harsh events recorded via smartphone sensors
inferred← citeshttps://doi.org/10.1016/j.ijtst.2020.07.001openalex-snapshot
Smartphone sensing for understanding driving behavior: Current practice and challenges
inferred← citeshttps://doi.org/10.1016/j.ijtst.2022.06.001openalex-snapshot
Impact of texting and web surfing on driving behavior and safety in rural roads
inferred← citeshttps://doi.org/10.1016/j.jsr.2021.04.007openalex-snapshot
Identifying the impact of the COVID-19 pandemic on driving behavior using naturalistic driving data and time series forecasting
inferred← citeshttps://doi.org/10.1016/j.jsr.2022.10.007openalex-snapshot
One year of COVID-19: Impacts on safe driving behavior and policy recommendations
inferred← citeshttps://doi.org/10.1016/j.jsr.2022.12.001openalex-snapshot
Mobile phone penalties and road crashes: Are changes in sanctions effective?
inferred← citeshttps://doi.org/10.1016/j.jsr.2024.09.012openalex-snapshot
Spatial analysis of telematics-based surrogate safety measures
inferred← citeshttps://doi.org/10.1016/j.jsr.2024.12.010openalex-snapshot
Explainable macroscopic and microscopic influences of COVID-19 on naturalistic driver aggressiveness derived from telematics through SHAP values of SVM and XGBoost algorithms
inferred← citeshttps://doi.org/10.1016/j.jtte.2023.07.007openalex-snapshot
Exploring speeding behavior using naturalistic car driving data from smartphones
inferred← citeshttps://doi.org/10.1016/j.rtbm.2025.101469openalex-snapshot
Assessing smartphone use while driving: A Real-Time Delphi study on risks and prevention strategies
inferred← citeshttps://doi.org/10.1016/j.ssci.2019.07.023openalex-snapshot
Safety science – Special issue on naturalistic driving research
inferred← citeshttps://doi.org/10.1016/j.ssci.2020.104917openalex-snapshot
Smartphones vs. in-vehicle data acquisition systems as tools for naturalistic driving studies: A comparative review
inferred← citeshttps://doi.org/10.1016/j.ssci.2022.105722openalex-snapshot
Spatial predictions of harsh driving events using statistical and machine learning methods
inferred← citeshttps://doi.org/10.1016/j.ssci.2022.105949openalex-snapshot
Data-driven approaches for road safety: A comprehensive systematic literature review
inferred← citeshttps://doi.org/10.1016/j.ssci.2023.106381openalex-snapshot
Critical review on data-driven approaches for learning from accidents: Comparative analysis and future research
inferred← citeshttps://doi.org/10.1016/j.tbs.2026.101355openalex-snapshot
Advancements in multimodal driver distraction detection systems: a systematic review and deployment analysis
inferred← citeshttps://doi.org/10.1016/j.tbs.2026.101406openalex-snapshot
Large-scale sensing for driving regimes using in-vehicle data: unsupervised and supervised approaches
inferred← citeshttps://doi.org/10.1016/j.trc.2019.11.006openalex-snapshot
Driving safety efficiency benchmarking using smartphone data
inferred← citeshttps://doi.org/10.1016/j.trc.2022.103756openalex-snapshot
Do adaptive cruise control and lane keeping systems make the longitudinal vehicle control safer? Insights into speeding and time gaps shorter than one second from a naturalistic driving study with SAE Level 2 automation
inferred← citeshttps://doi.org/10.1016/j.trc.2022.103770openalex-snapshot
Deep Reinforcement Learning for Personalized Driving Recommendations to Mitigate Aggressiveness and Riskiness: Modeling and Impact Assessment
inferred← citeshttps://doi.org/10.1016/j.trf.2023.09.010openalex-snapshot
Time-series clustering for pattern recognition of speed and heart rate while driving: A magnifying lens on the seconds around harsh events
inferred← citeshttps://doi.org/10.1016/j.trf.2024.08.020openalex-snapshot
Location, location, location! An application of situational action theory to phone use while driving in different environments
inferred← citeshttps://doi.org/10.1016/j.trf.2024.11.008openalex-snapshot
Risky riding behaviour among young, motorized two-wheeler riders in India: A quantitative analysis of the psychosocial determinants
inferred← citeshttps://doi.org/10.1016/j.trf.2025.05.028openalex-snapshot
Exploring the impact of driver feedback on safety: A systematic review of studies in real-world driving conditions
inferred← citeshttps://doi.org/10.1016/j.trf.2026.103657openalex-snapshot
Impacts of different feedback features on driver behaviour: Findings from a multiphase naturalistic study
inferred← citeshttps://doi.org/10.1016/j.trip.2023.100900openalex-snapshot
Machine learning approaches exploring the optimal number of driver profiles based on naturalistic driving data
inferred← citeshttps://doi.org/10.1016/j.trip.2025.101368openalex-snapshot
Empirical research on car-following and lane-changing: Recent developments, emerging vehicle technologies’ impact, and future research needs
inferred← citeshttps://doi.org/10.1016/j.trpro.2023.11.518openalex-snapshot
Critical factors affecting mobile phone use while driving through the exploitation of smartphone sensor data
inferred← citeshttps://doi.org/10.1016/j.trpro.2024.12.210openalex-snapshot
Analysis of visual distraction related to smartphone use while driving
inferred← citeshttps://doi.org/10.1016/j.trpro.2025.10.018openalex-snapshot
Drone-Enabled Behavioral Mapping of Pedestrian-Vehicle interactions on Zebra Crossings near Schools
inferred← citeshttps://doi.org/10.1049/iet-its.2019.0638openalex-snapshot
Comparative analysis of the effects of mobile phone use on driving performance using ANOVA and ANCOVA
inferred← citeshttps://doi.org/10.1061/jtepbs.0000735openalex-snapshot
Driving Behavior and Its Correlation with COVID-19 Response Measures: A Neural Network Forecasting Analysis
inferred← citeshttps://doi.org/10.1080/00140139.2025.2597507openalex-snapshot
Detecting anger-provoking events with smartphones: a naturalistic driving study
inferred← citeshttps://doi.org/10.1080/10447318.2025.2453612openalex-snapshot
Effects of Smart Cockpit Steering Wheel Control Gestures on List Selection Tasks
inferred← citeshttps://doi.org/10.1080/13588265.2022.2109879openalex-snapshot
Investigating major cause of crashes on Indian expressways and developing strategies for traffic safety management
inferred← citeshttps://doi.org/10.1080/15389588.2024.2436145openalex-snapshot
Compensatory behavior for mental workload induced by freeway destination signs
inferred← citeshttps://doi.org/10.1080/17457300.2022.2092872openalex-snapshot
The effect of different mobile uses on crash frequency among young drivers: application of statistical models and clustering analysis
inferred← citeshttps://doi.org/10.1080/17457300.2023.2272242openalex-snapshot
Influence of distracted driving of online car-hailing drivers on overall driving performance
inferred← citeshttps://doi.org/10.1080/19427867.2025.2463745openalex-snapshot
Safety efficiency assessment of online car-hailing drivers based on the nonparametric method
inferred← citeshttps://doi.org/10.1080/19439962.2023.2233089openalex-snapshot
Driving style identification and its association with risky driving behaviors among truck drivers based on GPS, load condition, and in-vehicle monitoring data
inferred← citeshttps://doi.org/10.1080/19439962.2025.2554090openalex-snapshot
Survivability of distracted driving: An analysis of in-vehicle phone handling resulting in safety critical events
inferred← citeshttps://doi.org/10.1080/21650020.2023.2234974openalex-snapshot
Investigation of factors affecting turn signal usage at modern roundabouts in State of Qatar
inferred← citeshttps://doi.org/10.1109/access.2019.2958684openalex-snapshot
Power Consumption Analysis, Measurement, Management, and Issues: A State-of-the-Art Review of Smartphone Battery and Energy Usage
inferred← citeshttps://doi.org/10.1109/access.2023.3248628openalex-snapshot
Surrogate Safety Measures: Review and Assessment in Real-World Mixed Traditional and Autonomous Vehicle Platoons
inferred← citeshttps://doi.org/10.1109/access.2023.3315852openalex-snapshot
Machine Learning-Based Road Safety Prediction Strategies for Internet of Vehicles (IoV) Enabled Vehicles: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/iceccme55909.2022.9988723openalex-snapshot
Smartphone-based Vehicle Telematics For Naturalistic Driving Studies
inferred← citeshttps://doi.org/10.1109/icim58774.2023.00018openalex-snapshot
Intelligent Transportation System: Application of Telematics Data for Road Safety
inferred← citeshttps://doi.org/10.1109/ojits.2023.3237177openalex-snapshot
Driver Profile and Driving Pattern Recognition for Road Safety Assessment: Main Challenges and Future Directions
inferred← citeshttps://doi.org/10.1109/pais62114.2024.10541245openalex-snapshot
Real-time Reckless Driving Detection System on a low-level computing platform: Insight from a Developing Nation
inferred← citeshttps://doi.org/10.1109/tiv.2023.3318113openalex-snapshot
A Review of Intelligent Systems for Driving Risk Assessment
inferred← citeshttps://doi.org/10.1145/3389189.3392611openalex-snapshot
Personalized system for human gym activity recognition using an RGB camera
inferred← citeshttps://doi.org/10.1155/2021/6677075openalex-snapshot
Gamified Mobile Applications for Improving Driving Behavior: A Systematic Mapping Study
inferred← citeshttps://doi.org/10.11591/ijai.v11.i4.pp1554-1562openalex-snapshot
A new approach for varied speed weigh-in-motion vehicle based on smartphone inertial sensors
inferred← citeshttps://doi.org/10.1177/0361198120975029openalex-snapshot
Role of Urban Big Data in Travel Behavior Research
inferred← citeshttps://doi.org/10.1177/03611981211057532openalex-snapshot
From Traditional to Autonomous Vehicles: A Systematic Review of Data Availability
inferred← citeshttps://doi.org/10.1177/03611981221110223openalex-snapshot
Examining the Relationships between Multimodal Environments and Multitasking Driving Behaviors
inferred← citeshttps://doi.org/10.1186/s12544-024-00691-9openalex-snapshot
Predicting risky driving behavior with classification algorithms: results from a large-scale field-trial and simulator experiment
inferred← citeshttps://doi.org/10.22517/9789587228519openalex-snapshot
Prototipo para el monitoreo no intrusivo de vehículos para mejorar el proceso de mantenimiento basado en la condición
inferred← citeshttps://doi.org/10.32604/cmc.2021.018732openalex-snapshot
Driving Style Recognition System Using Smartphone Sensors Based on Fuzzy Logic
inferred← citeshttps://doi.org/10.3390/en15134625openalex-snapshot
Evaluation Method of Naturalistic Driving Behaviour for Shared-Electrical Car
inferred← citeshttps://doi.org/10.3390/futuretransp5010025openalex-snapshot
Safety Effectiveness of Automated Traffic Enforcement Systems: A Critical Analysis of Existing Challenges and Solutions
inferred← citeshttps://doi.org/10.3390/ijerph20054354openalex-snapshot
Texting While Driving: A Literature Review on Driving Simulator Studies
inferred← citeshttps://doi.org/10.3390/s19194108openalex-snapshot
Real-Time Vehicle Motion Detection and Motion Altering for Connected Vehicle: Algorithm Design and Practical Applications
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/s24227225openalex-snapshot
Investigation of Freeway Incident Duration Using Classification and Regression Trees Based on Multisource Data
inferred← citeshttps://doi.org/10.3390/su13105604openalex-snapshot
Effect of Smartphone Dependency on Smartphone Use While Driving
inferred← citeshttps://doi.org/10.3390/su142416386openalex-snapshot
Vehicle Telematics for Safer, Cleaner and More Sustainable Urban Transport: A Review
inferred← citeshttps://doi.org/10.3390/su16146151openalex-snapshot
Modeling and Sustainability Implications of Harsh Driving Events: A Predictive Machine Learning Approach
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/10.55329/wiwt2358openalex-snapshot
Examining the effects of texting, web surfing, and navigating apps on urban driving behavior and crash risk
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.