On the public citation graph

Deep learning methods in transportation domain: a review

https://doi.org/10.1049/iet-its.2018.0064

0 signed · 335 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.

Claim with ORCID

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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1016/j.jpdc.2017.08.014openalex-snapshot

A rear-end collision prediction scheme based on deep learning in the Internet of Vehicles

inferredcites →https://doi.org/10.1016/j.neunet.2014.09.003openalex-snapshot

Deep learning in neural networks: An overview

inferredcites →https://doi.org/10.1016/j.peva.2010.01.001openalex-snapshot

Machine learning algorithms for accurate flow-based network traffic classification: Evaluation and comparison

inferredcites →https://doi.org/10.1016/j.trc.2017.02.024openalex-snapshot

Deep learning for short-term traffic flow prediction

inferredcites →https://doi.org/10.1016/j.trc.2017.10.016openalex-snapshot

Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

inferredcites →https://doi.org/10.1016/s0968-090x(02)00009-8openalex-snapshot

Comparison of parametric and nonparametric models for traffic flow forecasting

inferredcites →https://doi.org/10.1023/a:1007379606734openalex-snapshot

Multitask Learning

inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot

Human-level control through deep reinforcement learning

inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot

Deep learning

inferredcites →https://doi.org/10.1049/iet-its.2009.0096openalex-snapshot

Urban traffic signal control using reinforcement learning agents

inferredcites →https://doi.org/10.1049/iet-its.2016.0208openalex-snapshot

LSTM network: a deep learning approach for short‐term traffic forecast

inferredcites →https://doi.org/10.1049/iet-its.2017.0051openalex-snapshot

Automatic classification of traffic incident's severity using machine learning approaches

inferredcites →https://doi.org/10.1080/08839514.2016.1277291openalex-snapshot

Deep-Learning Architectures to Forecast Bus Ridership at the Stop and Stop-To-Stop Levels for Dense and Crowded Bus Networks

inferredcites →https://doi.org/10.1093/bioinformatics/btu277openalex-snapshot

Deep learning of the tissue-regulated splicing code

inferredcites →https://doi.org/10.1109/iadcc.2014.6779459openalex-snapshot

Drowsy driver detection using representation learning

inferredcites →https://doi.org/10.1109/icassp.2013.6638284openalex-snapshot

Extracting deep bottleneck features using stacked auto-encoders

inferredcites →https://doi.org/10.1109/icassp.2013.6638947openalex-snapshot

Speech recognition with deep recurrent neural networks

inferredcites →https://doi.org/10.1109/icassp.2013.6639347openalex-snapshot

Deep convolutional neural networks for LVCSR

inferredcites →https://doi.org/10.1109/icassp.2015.7178838openalex-snapshot

Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks

inferredcites →https://doi.org/10.1109/icdmw.2017.19openalex-snapshot

Deep and Confident Prediction for Time Series at Uber

inferredcites →https://doi.org/10.1109/ijcnn.2008.4634057openalex-snapshot

Neural network multitask learning for traffic flow forecasting

inferredcites →https://doi.org/10.1109/ijcnn.2017.7966128openalex-snapshot

Scalable deep traffic flow neural networks for urban traffic congestion prediction

inferredcites →https://doi.org/10.1109/iros.2008.4651217openalex-snapshot

Deep belief net learning in a long-range vision system for autonomous off-road driving

inferredcites →https://doi.org/10.1109/jas.2016.7508798openalex-snapshot

Traffic signal timing via deep reinforcement learning

inferredcites →https://doi.org/10.1109/msp.2012.2205597openalex-snapshot

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

inferredcites →https://doi.org/10.1109/mtits.2015.7223242openalex-snapshot

Short-term traffic predictions on large urban traffic networks: Applications of network-based machine learning models and dynamic traffic assignment models

inferredcites →https://doi.org/10.1109/scm.2016.7519666openalex-snapshot

Application of deep learning to the problem of vehicle detection in UAV images

inferredcites →https://doi.org/10.1109/taslp.2014.2303296openalex-snapshot

Application of Deep Belief Networks for Natural Language Understanding

inferredcites →https://doi.org/10.1109/tits.2010.2091408openalex-snapshot

Reinforcement Learning With Function Approximation for Traffic Signal Control

inferredcites →https://doi.org/10.1109/tits.2013.2247040openalex-snapshot

Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning

inferredcites →https://doi.org/10.1109/tits.2013.2255286openalex-snapshot

Multiagent Reinforcement Learning for Integrated Network of Adaptive Traffic Signal Controllers (MARLIN-ATSC): Methodology and Large-Scale Application on Downtown Toronto

inferredcites →https://doi.org/10.1109/tits.2014.2311123openalex-snapshot

Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning

inferredcites →https://doi.org/10.1109/tits.2014.2345663openalex-snapshot

Traffic Flow Prediction With Big Data: A Deep Learning Approach

inferredcites →https://doi.org/10.1109/tits.2017.2755684openalex-snapshot

Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks

inferredcites →https://doi.org/10.1109/tpami.2012.231openalex-snapshot

Learning Hierarchical Features for Scene Labeling

inferredcites →https://doi.org/10.1109/waina.2017.19openalex-snapshot

A MRT Daily Passenger Flow Prediction Model with Different Combinations of Influential Factors

inferredcites →https://doi.org/10.1126/science.1254806openalex-snapshot

The human splicing code reveals new insights into the genetic determinants of disease

inferredcites →https://doi.org/10.1145/2647868.2654948openalex-snapshot

Deep Learning for Content-Based Image Retrieval

inferredcites →https://doi.org/10.1155/2014/461540openalex-snapshot

Erratum to “Experimental Analyses of the Major Parameters Affecting the Intensity of Outbursts of Coal and Gas”

inferredcites →https://doi.org/10.1155/2014/647380openalex-snapshot

A Vehicle Detection Algorithm Based on Deep Belief Network

inferredcites →https://doi.org/10.1162/neco.2006.18.7.1527openalex-snapshot

A Fast Learning Algorithm for Deep Belief Nets

inferredcites →https://doi.org/10.1177/1550147717711621openalex-snapshot

Location deployment of depots and resource relocation for connected car-sharing systems through mobile edge computing

inferredcites →https://doi.org/10.1371/journal.pone.0119044openalex-snapshot

Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory

inferredcites →https://doi.org/10.1561/2200000006openalex-snapshot

Learning Deep Architectures for AI

inferredcites →https://doi.org/10.3115/v1/d14-1067openalex-snapshot

Question Answering with Subgraph Embeddings

inferredcites →https://doi.org/10.3141/2645-13openalex-snapshot

Automated Vehicle Recognition with Deep Convolutional Neural Networks

inferredcites →https://doi.org/10.3389/fpubh.2014.00036openalex-snapshot

Identifying Active Travel Behaviors in Challenging Environments Using GPS, Accelerometers, and Machine Learning Algorithms

inferredcites →https://doi.org/10.3389/fpubh.2014.00039openalex-snapshot

It is Unlikely That Influenza Viruses Will Cause a Pandemic Again Like What Happened in 1918 and 1919

inferredcites →https://doi.org/10.48550/arxiv.1103.0398openalex-snapshot

Natural Language Processing (almost) from Scratch

inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot

Very Deep Convolutional Networks for Large-Scale Image Recognition

inferredcites →https://doi.org/10.48550/arxiv.1504.01716openalex-snapshot

An Empirical Evaluation of Deep Learning on Highway Driving

inferredcites →https://doi.org/10.48550/arxiv.1607.03611openalex-snapshot

Characterizing Driving Styles with Deep Learning

inferredcites →https://doi.org/10.48550/arxiv.1611.01142openalex-snapshot

Using a Deep Reinforcement Learning Agent for Traffic Signal Control

inferredcites →https://doi.org/10.5281/zenodo.1091467openalex-snapshot

Vehicle Type Classification With Geometric And Appearance Attributes

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.4631568openalex-extracted

inferred← citeshttps://doi.org/10.1002/nme.6809openalex-snapshot

Machine learning based topology optimization of fiber orientation for variable stiffness composite structures

inferred← citeshttps://doi.org/10.1002/rnc.7275openalex-snapshot

Flexible development and evaluation of machine‐learning‐supported optimal control and estimation methods via HILO‐MPC

inferred← citeshttps://doi.org/10.1002/sys.21606openalex-snapshot

Cost reduction for advanced driver assistance systems through hardware downscaling and deep learning

inferred← citeshttps://doi.org/10.1007/978-3-030-50943-9_6openalex-snapshot

Human Car-Following Behavior: Parametric, Machine-Learning, and Deep-Learning Perspectives

inferred← citeshttps://doi.org/10.1007/978-3-030-66042-0_4openalex-snapshot

Combating Road Traffic Congestion with Big Data: A Bibliometric Review and Analysis of Scientific Research

inferred← citeshttps://doi.org/10.1007/978-3-030-76493-7_7openalex-snapshot

Machine Learning Technologies in Internet of Vehicles

inferred← citeshttps://doi.org/10.1007/978-3-030-79206-0_64openalex-snapshot

Data Mining and Information Technology in Transportation—A Review

inferred← citeshttps://doi.org/10.1007/978-3-031-04036-8_3openalex-snapshot

Intelligent Transportation Systems – Models, Challenges, Security Aspects

inferred← citeshttps://doi.org/10.1007/978-3-031-18461-1_3openalex-snapshot

Exploring Deep Learning in Road Traffic Accident Recognition for Roadside Sensing Technologies

inferred← citeshttps://doi.org/10.1007/978-3-031-22938-1_48openalex-snapshot

Adaptive City Traffic Lights As Collective IoT Devices

inferred← citeshttps://doi.org/10.1007/978-3-031-26384-2_20openalex-snapshot

A New Approach to Intelligent-Oriented Analysis and Design of Urban Traffic Control: Case of a Traffic Light

inferred← citeshttps://doi.org/10.1007/978-3-031-47839-0_10openalex-snapshot

A Comparative Study for the Traffic Predictions in Smart Cities Using Artificial Intelligence Techniques: Survey

inferred← citeshttps://doi.org/10.1007/978-3-031-90425-7_3openalex-snapshot

Inherited Antifragility

inferred← citeshttps://doi.org/10.1007/978-981-16-2241-0_6openalex-snapshot

Conclusion and Future Work

inferred← citeshttps://doi.org/10.1007/978-981-95-0974-4_13openalex-snapshot

Prediction of Urban Traffic Accidents and Designer-Friendly Optimization Strategies

inferred← citeshttps://doi.org/10.1007/978-981-96-2413-3_23openalex-snapshot

Leveraging AI and ML in Precision Farming for Pest and Disease Management: Benefits, Challenges, and Future Prospects

inferred← citeshttps://doi.org/10.1007/978-981-99-8398-8_21openalex-snapshot

Enhancing Network Intrusion Detection Using Deep Reinforcement Learning: An Adaptive Learning Approach

inferred← citeshttps://doi.org/10.1007/s00340-025-08475-2openalex-snapshot

Convolutional neural network for coded metasurface inverse design

inferred← citeshttps://doi.org/10.1007/s00521-022-07567-wopenalex-snapshot

A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data

inferred← citeshttps://doi.org/10.1007/s00521-024-09694-yopenalex-snapshot

Traffic signal optimization framework using interpretable machine learning technique under heterogeneous-autonomy traffic environment

inferred← citeshttps://doi.org/10.1007/s00521-026-12067-2openalex-snapshot

Interpretable knowledge distillation via symbolic regression for feedforward neural networks

inferred← citeshttps://doi.org/10.1007/s10618-025-01135-1openalex-snapshot

Stratify: unifying multi-step forecasting strategies

inferred← citeshttps://doi.org/10.1007/s10664-021-10099-xopenalex-snapshot

Clones in deep learning code: what, where, and why?

inferred← citeshttps://doi.org/10.1007/s10958-024-07429-xopenalex-snapshot

A Study of Graph Neural Networks for Link Prediction on Vulnerability to Membership Attacks

inferred← citeshttps://doi.org/10.1007/s11042-022-12306-3openalex-snapshot

Passenger flow prediction in bus transportation system using deep learning

inferred← citeshttps://doi.org/10.1007/s11063-024-11656-3openalex-snapshot

Leveraging Hybrid Deep Learning Models for Enhanced Multivariate Time Series Forecasting

inferred← citeshttps://doi.org/10.1007/s11116-026-10744-8openalex-snapshot

GraphSAGE-based travel demand prediction for expanding networks

inferred← citeshttps://doi.org/10.1007/s11227-023-05333-wopenalex-snapshot

The Short-Term Prediction of Daily Traffic Volume for Rural Roads Using Shallow and Deep Learning Networks: Ann and Lstm

inferred← citeshttps://doi.org/10.1007/s11831-026-10599-3openalex-snapshot

Machine Learning in Household Trip Generation Modelling: A Comprehensive Review

inferred← citeshttps://doi.org/10.1007/s12469-025-00419-5openalex-snapshot

Time-weighted ensemble long–short-term memory for delay prediction in railway systems

inferred← citeshttps://doi.org/10.1007/s13042-026-03219-wopenalex-snapshot

Area traffic signal coordination control method based on action value weighted QMIX

inferred← citeshttps://doi.org/10.1007/s13177-023-00351-7openalex-snapshot

Predicting Crash Injury Severity in Smart Cities: a Novel Computational Approach with Wide and Deep Learning Model

inferred← citeshttps://doi.org/10.1007/s13177-026-00641-wopenalex-snapshot

LRT-CNN-VD Model in Crash Duration Prediction

inferred← citeshttps://doi.org/10.1007/s13177-026-00704-yopenalex-snapshot

Forecasting of Highway Traffic Dynamics: a Deep Learning-Based Delay-Embedded Koopman Operator Approach

inferred← citeshttps://doi.org/10.1007/s40502-024-00839-8openalex-snapshot

High throughput phenotyping using hyperspectral imaging for seed quality assurance coupled with machine learning methods: principles and way forward

inferred← citeshttps://doi.org/10.1007/s42421-020-00020-1openalex-snapshot

Applications of Deep Learning in Intelligent Transportation Systems

inferred← citeshttps://doi.org/10.1007/s42421-020-00030-zopenalex-snapshot

Deep Learning in Transport Studies: A Meta-analysis on the Prediction Accuracy

inferred← citeshttps://doi.org/10.1007/s42421-023-00081-yopenalex-snapshot

Causal Analysis-Based Reduced Order Modeling of Human Mobility in the U.S. During COVID-19 Pandemic

inferred← citeshttps://doi.org/10.1007/s43069-026-00669-4openalex-snapshot

Impact and Evolution of Big Data in Logistics: A Review of Current Trends and Practices

inferred← citeshttps://doi.org/10.1007/s43926-022-00025-yopenalex-snapshot

Detection of road traffic anomalies based on computational data science

inferred← citeshttps://doi.org/10.1016/b978-0-12-817784-6.00009-6openalex-snapshot

Leveraging data-driven traffic management in smart cities: Datasets for highway traffic monitoring

inferred← citeshttps://doi.org/10.1016/b978-0-12-823504-1.00011-8openalex-snapshot

Introduction

inferred← citeshttps://doi.org/10.1016/j.aap.2020.105436openalex-snapshot

The importance of flow composition in real-time crash prediction

inferred← citeshttps://doi.org/10.1016/j.amar.2021.100157openalex-snapshot

Fusion convolutional neural network-based interpretation of unobserved heterogeneous factors in driver injury severity outcomes in single-vehicle crashes

inferred← citeshttps://doi.org/10.1016/j.comcom.2020.01.058openalex-snapshot

Convolutional neural networks for 5G-enabled Intelligent Transportation System : A systematic review

inferred← citeshttps://doi.org/10.1016/j.compenvurbsys.2022.101776openalex-snapshot

Coupling graph deep learning and spatial-temporal influence of built environment for short-term bus travel demand prediction

inferred← citeshttps://doi.org/10.1016/j.cor.2023.106458openalex-snapshot

A deep real options policy for sequential service region design and timing

inferred← citeshttps://doi.org/10.1016/j.csbj.2020.08.003openalex-snapshot

A bird’s-eye view of deep learning in bioimage analysis

inferred← citeshttps://doi.org/10.1016/j.dajour.2025.100591openalex-snapshot

A review of strategies, challenges, and ethical implications of machine learning in smart manufacturing

inferred← citeshttps://doi.org/10.1016/j.eng.2019.08.015openalex-snapshot

Artificial Intelligence in Healthcare: Review and Prediction Case Studies

inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109086openalex-snapshot

Enhancing road safety with machine learning: Current advances and future directions in accident prediction using non-visual data

inferred← citeshttps://doi.org/10.1016/j.eswa.2022.116830openalex-snapshot

Reinforcement learning in urban network traffic signal control: A systematic literature review

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122281openalex-snapshot

Multichannel spatial–temporal graph convolution network based on spectrum decomposition for traffic prediction

inferred← citeshttps://doi.org/10.1016/j.etran.2020.100061openalex-snapshot

Battery aging conscious intelligent energy management strategy and sensitivity analysis of the critical factors for plug-in hybrid electric buses

inferred← citeshttps://doi.org/10.1016/j.giq.2023.101881openalex-snapshot

Artificial intelligence in government: Concepts, standards, and a unified framework

inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e30670openalex-snapshot

Transformer fault diagnosis based on adversarial generative networks and deep stacked autoencoder

inferred← citeshttps://doi.org/10.1016/j.ijtst.2022.07.003openalex-snapshot

Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data

inferred← citeshttps://doi.org/10.1016/j.inffus.2025.102996openalex-snapshot

A review on full-, zero-, and partial-knowledge based predictive models for industrial applications

inferred← citeshttps://doi.org/10.1016/j.jestch.2020.05.003openalex-snapshot

CNN feature or handcrafted feature in DCF object tracker?

inferred← citeshttps://doi.org/10.1016/j.jii.2024.100694openalex-snapshot

Low-altitude intelligent transportation: System architecture, infrastructure, and key technologies

inferred← citeshttps://doi.org/10.1016/j.jksuci.2024.101924openalex-snapshot

Automatic data featurization for enhanced proactive service auto-scaling: Boosting forecasting accuracy and mitigating oscillation

inferred← citeshttps://doi.org/10.1016/j.jpowsour.2026.239752openalex-snapshot

Optimization approaches for energy management system in electric vehicle charging Station: A comprehensive review

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114986openalex-snapshot

Predicting short-Term bike-Sharing demand at station level: A multi-Task dynamic graph-based spatiotemporal approach

inferred← citeshttps://doi.org/10.1016/j.mattod.2024.09.012openalex-snapshot

Inverse design of phononic meta-structured materials

inferred← citeshttps://doi.org/10.1016/j.multra.2023.100085openalex-snapshot

Investigating machine learning for simulating urban transport patterns: A comparison with traditional macro-models

inferred← citeshttps://doi.org/10.1016/j.multra.2024.100164openalex-snapshot

Reinforcement learning in transportation research: Frontiers and future directions

inferred← citeshttps://doi.org/10.1016/j.multra.2026.100290openalex-snapshot

A foundational dwell time model for regional railways

inferred← citeshttps://doi.org/10.1016/j.neucom.2021.04.003openalex-snapshot

Building partially understandable convolutional neural networks by differentiating class-related neural nodes

inferred← citeshttps://doi.org/10.1016/j.physa.2023.129001openalex-snapshot

Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM

inferred← citeshttps://doi.org/10.1016/j.physa.2024.129872openalex-snapshot

Coupling graph neural networks and travel mode choice for human mobility prediction

inferred← citeshttps://doi.org/10.1016/j.physa.2026.131709openalex-snapshot

A spatiotemporal network with multi-task learning for highway traffic flow forecasting

inferred← citeshttps://doi.org/10.1016/j.procs.2022.09.178openalex-snapshot

Variational Bootstrap for Classification

inferred← citeshttps://doi.org/10.1016/j.ress.2022.108699openalex-snapshot

A method of online anomaly perception and failure prediction for high-speed automatic train protection system

inferred← citeshttps://doi.org/10.1016/j.scs.2023.104425openalex-snapshot

Bi-objective optimization of traffic assignment with air quality consideration via CFD-based surrogate model

inferred← citeshttps://doi.org/10.1016/j.semcancer.2020.08.006openalex-snapshot

Deep computational pathology in breast cancer

inferred← citeshttps://doi.org/10.1016/j.softx.2024.101656openalex-snapshot

VELCRO: A visual-based programming tool for effortless deep learning model construction

inferred← citeshttps://doi.org/10.1016/j.tranpol.2020.05.023openalex-snapshot

On the possibility of short-term traffic prediction during disaster with machine learning approaches: An exploratory analysis

inferred← citeshttps://doi.org/10.1016/j.trc.2019.12.007openalex-snapshot

Short-term traffic state prediction from latent structures: Accuracy vs. efficiency

inferred← citeshttps://doi.org/10.1016/j.trc.2020.102639openalex-snapshot

A residual spatio-temporal architecture for travel demand forecasting

inferred← citeshttps://doi.org/10.1016/j.trc.2020.102785openalex-snapshot

A sequence to sequence learning based car-following model for multi-step predictions considering reaction delay

inferred← citeshttps://doi.org/10.1016/j.trc.2021.103432openalex-snapshot

Applications of deep learning in congestion detection, prediction and alleviation: A survey

inferred← citeshttps://doi.org/10.1016/j.trc.2021.103485openalex-snapshot

Dynamic optimal congestion pricing in multi-region urban networks by application of a Multi-Layer-Neural network

inferred← citeshttps://doi.org/10.1016/j.trc.2022.103566openalex-snapshot

Estimating the robustness of public transport schedules using machine learning

inferred← citeshttps://doi.org/10.1016/j.trc.2022.103921openalex-snapshot

Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities

inferred← citeshttps://doi.org/10.1016/j.trc.2023.104088openalex-snapshot

A multi-stage fusion network for transportation mode identification with varied scale representation of GPS trajectories

inferred← citeshttps://doi.org/10.1016/j.trc.2023.104410openalex-snapshot

Improving deep-learning methods for area-based traffic demand prediction via hierarchical reconciliation

inferred← citeshttps://doi.org/10.1016/j.trc.2024.104550openalex-snapshot

Activity type detection of mobile phone data based on self-training: Application of the teacher–student cycling model

inferred← citeshttps://doi.org/10.1016/j.vehcom.2019.100184openalex-snapshot

Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges

inferred← citeshttps://doi.org/10.1038/s41467-020-15582-5openalex-snapshot

Data-driven analysis and forecasting of highway traffic dynamics

inferred← citeshttps://doi.org/10.1038/s41598-023-28974-6openalex-snapshot

Federated learning with hyper-network—a case study on whole slide image analysis

inferred← citeshttps://doi.org/10.1038/s41598-025-06711-5openalex-snapshot

Detecting heavy trucks from mobile phone trajectories using image-based behavioral representations and deep learning models

inferred← citeshttps://doi.org/10.1049/iet-its.2018.5151openalex-snapshot

Systematic review on vehicular licence plate recognition framework in intelligent transport systems

inferred← citeshttps://doi.org/10.1049/iet-its.2018.5479openalex-snapshot

Vision‐based road slope estimation methods using road lines or local features from instant images

inferred← citeshttps://doi.org/10.1049/iet-its.2019.0006openalex-snapshot

Connected component analysis integrated edge based technique for automatic vehicular license plate recognition framework

inferred← citeshttps://doi.org/10.1049/iet-its.2019.0017openalex-snapshot

Convolutional LSTM based transportation mode learning from raw GPS trajectories

inferred← citeshttps://doi.org/10.1049/iet-its.2019.0471openalex-snapshot

Pedestrian motion recognition via Conv‐VLAD integrated spatial‐temporal‐relational network

inferred← citeshttps://doi.org/10.1049/iet-its.2020.0297openalex-snapshot

2‐dimensional human‐like driver model for autonomous vehicles in mixed traffic

inferred← citeshttps://doi.org/10.1049/itr2.12024openalex-snapshot

A scientometric review of research on traffic forecasting in transportation

inferred← citeshttps://doi.org/10.1049/itr2.12101openalex-snapshot

CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning

inferred← citeshttps://doi.org/10.1049/itr2.12209openalex-snapshot

Analyzing the multi‐scale characteristic for online car‐hailing traffic volume with quantum walk

inferred← citeshttps://doi.org/10.1049/itr2.12227openalex-snapshot

ECCNet: Efficient chained centre network for real‐time multi‐category vehicle tracking and vehicle speed estimation

inferred← citeshttps://doi.org/10.1049/itr2.12257openalex-snapshot

Deep learning serves traffic safety analysis: A forward‐looking review

inferred← citeshttps://doi.org/10.1049/itr2.12463openalex-snapshot

Coupling travel characteristics identifying and deep learning for demand forecasting on car‐hailing tourists: A case study of Beijing, China

inferred← citeshttps://doi.org/10.1049/itr2.12475openalex-snapshot

A novel refined maintenance strategy for full life cycle of high‐speed automatic train protection system

inferred← citeshttps://doi.org/10.1049/itr2.70047openalex-snapshot

Graph Wavelet Neural Controlled Differential Equations Method for Speed Prediction Under Traffic Accidents

inferred← citeshttps://doi.org/10.1049/itr2.70166openalex-snapshot

Graph Neural Network‐Enabled Robust AIS/Radar Data Association for Intelligent Monitoring of Ship Safety

inferred← citeshttps://doi.org/10.1051/itmconf/20258001033openalex-snapshot

Deep Learning for Autonomous Driving: A Survey of Methods, Paradigms, and Future Trends

inferred← citeshttps://doi.org/10.1057/s41272-024-00490-wopenalex-snapshot

Enhanced demand forecasting by combining analytical models and machine learning models

inferred← citeshttps://doi.org/10.1061/jitse4.iseng-2916openalex-snapshot

Deep Learning for Operation and Maintenance of Urban Lifeline Systems: A Comprehensive Review

inferred← citeshttps://doi.org/10.1061/jtepbs.teeng-8751openalex-snapshot

Vehicle Classification in Intelligent Transportation Systems: Enhanced CNN Approach and Data Set Expansion

inferred← citeshttps://doi.org/10.1063/5.0269308openalex-snapshot

A review of artificial intelligence and big data in healthcare

inferred← citeshttps://doi.org/10.1063/5.0295126openalex-snapshot

A review analysis of traffic anomalies detection using data science and deep learning methods

inferred← citeshttps://doi.org/10.1080/02564602.2023.2238664openalex-snapshot

100 Years of the Ubiquitous Traffic Lights: An All-Round Review

inferred← citeshttps://doi.org/10.1080/02648725.2023.2196476openalex-snapshot

Artificial intelligence in healthcare: a mastery

inferred← citeshttps://doi.org/10.1080/15472450.2023.2177103openalex-snapshot

Estimation of local traffic conditions using Wi-Fi sensor technology

inferred← citeshttps://doi.org/10.1080/17538947.2025.2579804openalex-snapshot

TransRoadNet: a Transformer framework for multi-modal road network pattern recognition

inferred← citeshttps://doi.org/10.1080/19427867.2026.2624606openalex-snapshot

Real-time traffic density estimation using various connected vehicle penetration rates: application of a drone dataset of naturalistic vehicle trajectories

inferred← citeshttps://doi.org/10.1080/23249935.2026.2744969openalex-snapshot

Enhancing destination choice modelling with neural network techniques

inferred← citeshttps://doi.org/10.1080/23311916.2021.2010510openalex-snapshot

Traffic flow prediction models – A review of deep learning techniques

inferred← citeshttps://doi.org/10.1109/access.2019.2927412openalex-snapshot

Intelligent Intersection Management Systems Considering Autonomous Vehicles: A Systematic Literature Review

inferred← citeshttps://doi.org/10.1109/access.2020.3028852openalex-snapshot

Risk Assessment Inference Approach Based on Geographical Danger Points Using Student Survey Data for Safe Routes to School

inferred← citeshttps://doi.org/10.1109/access.2020.3036620openalex-snapshot

Detection of Road Objects With Small Appearance in Images for Autonomous Driving in Various Traffic Situations Using a Deep Learning Based Approach

inferred← citeshttps://doi.org/10.1109/access.2021.3064354openalex-snapshot

Reinforcement Learning Based EV Charging Management Systems–A Review

inferred← citeshttps://doi.org/10.1109/access.2021.3071174openalex-snapshot

Short-Term Traffic Prediction With Deep Neural Networks: A Survey

inferred← citeshttps://doi.org/10.1109/access.2021.3096034openalex-snapshot

Methods for Measuring Geodiversity in Large Overhead Imagery Datasets

inferred← citeshttps://doi.org/10.1109/access.2021.3127448openalex-snapshot

The Internet of Federated Things (IoFT)

inferred← citeshttps://doi.org/10.1109/access.2022.3147807openalex-snapshot

ECG-Based Biometrics Using a Deep Network Based on Independent Component Analysis

inferred← citeshttps://doi.org/10.1109/access.2022.3195353openalex-snapshot

Short-Term Traffic Speed Forecasting Using a Deep Learning Method Based on Multitemporal Traffic Flow Volume

inferred← citeshttps://doi.org/10.1109/access.2023.3289756openalex-snapshot

Fuzzy Logic-Based Approach for Location Identification and Routing in the Outdoor Environment

inferred← citeshttps://doi.org/10.1109/access.2024.3415495openalex-snapshot

Eco-Driving Framework for Autonomous Vehicles at Signalized Intersection in Mixed-Traffic Environment

inferred← citeshttps://doi.org/10.1109/access.2025.3594091openalex-snapshot

State-of-the-Art on IoV-Based Deep Learning Framework for Enhanced Driving Behavior Recognition: Recent Progress, Technology Updates, Challenges, and Future Direction

inferred← citeshttps://doi.org/10.1109/access.2025.3609530openalex-snapshot

Spatio-Temporal Forecasting of Bus Arrival Times Using Context-Aware Deep Learning Models in Urban Transit Systems

inferred← citeshttps://doi.org/10.1109/comst.2025.3530913openalex-snapshot

Autonomous Aerial Vehicles-Aided Intelligent Transportation Systems: Vision, Challenges, and Opportunities

inferred← citeshttps://doi.org/10.1109/dsit61374.2024.10880981openalex-snapshot

Investigation of Hybrid Models and Architectures for Real-Time Adaptive Passenger Flow Prediction

inferred← citeshttps://doi.org/10.1109/exp.at2565440.2025.11348320openalex-snapshot

Urban Traffic Forecasting, Urban Data Platforms and Urban Foundations Models

inferred← citeshttps://doi.org/10.1109/hpcc/smartcity/dss.2019.00082openalex-snapshot

A Learning-Based Vehicle-Trajectory Generation Method for Vehicular Networking

inferred← citeshttps://doi.org/10.1109/icacccn51052.2020.9362972openalex-snapshot

A review of deep learning models for traffic flow prediction in Autonomous Vehicles

inferred← citeshttps://doi.org/10.1109/icacite60783.2024.10617363openalex-snapshot

An Integration of AI Technique in the Field of Healthcare Industry

inferred← citeshttps://doi.org/10.1109/icasst68917.2026.11484348openalex-snapshot

Wired Highways: The Soul of a Smarter City

inferred← citeshttps://doi.org/10.1109/icbdie52740.2021.00043openalex-snapshot

Green Wave Zone Evaluation Method Based on Electronic Police Data

inferred← citeshttps://doi.org/10.1109/icee50131.2020.9260674openalex-snapshot

Android Botnet Detection using Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1109/iciteics61368.2024.10625175openalex-snapshot

Enhancing Human Resource Management through Deep Learning: A Predictive Analytics Approach to Employee Retention Success

inferred← citeshttps://doi.org/10.1109/icl62932.2024.10788563openalex-snapshot

Data Fusion of Heterogeneous Data Sources for Intelligent Transportation Systems

inferred← citeshttps://doi.org/10.1109/icsrs63046.2024.10927473openalex-snapshot

NovaNet: A Novel Method for Enhanced Pothole Detection on Road

inferred← citeshttps://doi.org/10.1109/ijcnn.2019.8852482openalex-snapshot

Improving Route Choice Models by Incorporating Contextual Factors via Knowledge Distillation

inferred← citeshttps://doi.org/10.1109/indiscon58499.2023.10270205openalex-snapshot

An Automated Morphological System for Vehicle-Pedestrian Classification and Inference of Traffic Congestion Metrics

inferred← citeshttps://doi.org/10.1109/itsc.2019.8916852openalex-snapshot

Motorway Traffic Flow Prediction using Advanced Deep Learning

inferred← citeshttps://doi.org/10.1109/itsc45102.2020.9294191openalex-snapshot

Predicting Driving Conditions at Mountain Crossings Using Deep Learning

inferred← citeshttps://doi.org/10.1109/itsc48978.2021.9564574openalex-snapshot

Next Hour Frequency of Services Prediction for Rail Transit Network

inferred← citeshttps://doi.org/10.1109/ivs.2019.8813881openalex-snapshot

A Driving Scenario Representation for Scalable Real-Data Analytics with Neural Networks

inferred← citeshttps://doi.org/10.1109/jiot.2024.3377600openalex-snapshot

Digital-Twin-Based Deep Reinforcement Learning Approach for Adaptive Traffic Signal Control

inferred← citeshttps://doi.org/10.1109/jsen.2022.3219884openalex-snapshot

Detection of Road Objects Based on Camera Sensors for Autonomous Driving in Various Traffic Situations

inferred← citeshttps://doi.org/10.1109/mt-its56129.2023.10241694openalex-snapshot

Network-wide Lane-level Traffic Flow Prediction via Clustering and Deep Learning with Limited Data

inferred← citeshttps://doi.org/10.1109/mtits.2019.8883365openalex-snapshot

Neural networks trained with WiFi traces to predict airport passenger behavior

inferred← citeshttps://doi.org/10.1109/ojvt.2024.3369691openalex-snapshot

Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges

inferred← citeshttps://doi.org/10.1109/ropec50909.2020.9258673openalex-snapshot

A comparison of deep learning methods for wind speed forecasting

inferred← citeshttps://doi.org/10.1109/sitis57111.2022.00075openalex-snapshot

A Conceptual Deep Learning Model for Real-Time Routin

inferred← citeshttps://doi.org/10.1109/tc.2023.3236902openalex-snapshot

Multi-Source Information Fusion Based DLaaS for Traffic Flow Prediction

inferred← citeshttps://doi.org/10.1109/tcss.2023.3330254openalex-snapshot

Aerospace Technology in Social Applications

inferred← citeshttps://doi.org/10.1109/tgrs.2023.3234303openalex-snapshot

A Content-Adaptive Hierarchical Deep Learning Model for Detecting Arbitrary-Oriented Road Surface Elements Using MLS Point Clouds

inferred← citeshttps://doi.org/10.1109/tits.2020.2993798openalex-snapshot

Grids Versus Graphs: Partitioning Space for Improved Taxi Demand-Supply Forecasts

inferred← citeshttps://doi.org/10.1109/tits.2020.3043250openalex-snapshot

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey

inferred← citeshttps://doi.org/10.1109/tits.2021.3083957openalex-snapshot

Deep Learning for Road Traffic Forecasting: Does it Make a Difference?

inferred← citeshttps://doi.org/10.1109/tits.2021.3098461openalex-snapshot

Spatiotemporal Dynamic Forecasting and Analysis of Regional Traffic Flow in Urban Road Networks Using Deep Learning Convolutional Neural Network

inferred← citeshttps://doi.org/10.1109/tits.2021.3113779openalex-snapshot

Deep Learning for Security in Digital Twins of Cooperative Intelligent Transportation Systems

inferred← citeshttps://doi.org/10.1109/tits.2022.3141731openalex-snapshot

Construction of Regional Intelligent Transportation System in Smart City Road Network via 5G Network

inferred← citeshttps://doi.org/10.1109/tits.2022.3147845openalex-snapshot

Short-Term Traffic Flow Prediction of the Smart City Using 5G Internet of Vehicles Based on Edge Computing

inferred← citeshttps://doi.org/10.1109/tits.2022.3169068openalex-snapshot

Multitype Highway Mobility Analytics for Efficient Learning Model Design: A Case of Station Traffic Prediction

inferred← citeshttps://doi.org/10.1109/tits.2023.3240185openalex-snapshot

Driver Identification Using Deep Generative Model With Limited Data

inferred← citeshttps://doi.org/10.1109/tits.2023.3322982openalex-snapshot

Traffic Estimation of Various Connected Vehicle Penetration Rates: Temporal Convolutional Network Approach

inferred← citeshttps://doi.org/10.1109/tits.2025.3528116openalex-snapshot

Integrating LLMs With ITS: Recent Advances, Potentials, Challenges, and Future Directions

inferred← citeshttps://doi.org/10.1109/tits.2025.3545695openalex-snapshot

Bus Arrival Time Prediction: A Comprehensive Review

inferred← citeshttps://doi.org/10.1109/tkde.2020.3025580openalex-snapshot

Deep Learning for Spatio-Temporal Data Mining: A Survey

inferred← citeshttps://doi.org/10.1109/tnnls.2021.3090695openalex-snapshot

Metro Passenger-Flow Representation via Dynamic Mode Decomposition and Its Application

inferred← citeshttps://doi.org/10.1109/wiecon-ece57977.2022.10151401openalex-snapshot

Image Processing Based Intelligent Traffic Lighting System

inferred← citeshttps://doi.org/10.1111/coin.12554openalex-snapshot

Intelligent short term traffic forecasting using deep learning models with Bayesian contextual hyperband tuning

inferred← citeshttps://doi.org/10.1111/mice.13207openalex-snapshot

Traffic prediction via clustering and deep transfer learning with limited data

inferred← citeshttps://doi.org/10.1111/tgis.70126openalex-snapshot

A Multitask Learning Framework for Predicting Origin–Destination Ride‐Sourcing Demand

inferred← citeshttps://doi.org/10.1142/s1793984425300067openalex-snapshot

Application of Machine Learning in Nano Research — A Review

inferred← citeshttps://doi.org/10.1145/3486001.3486249openalex-snapshot

Bridging between Data Science and Performance Analysis: Tracing of Jupyter Notebooks

inferred← citeshttps://doi.org/10.1145/3551349.3560414openalex-snapshot

A Transferable Time Series Forecasting Service Using Deep Transformer Model for Online Systems

inferred← citeshttps://doi.org/10.1145/3653708openalex-snapshot

Does More Advice Help? The Effects of Second Opinions in AI-Assisted Decision Making

inferred← citeshttps://doi.org/10.1145/3686081.3686105openalex-snapshot

Research on the Application of Deep Learning in Market Trend Prediction of Entrepreneurial Enterprises

inferred← citeshttps://doi.org/10.1155/2020/8894694openalex-snapshot

Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective

inferred← citeshttps://doi.org/10.1155/2020/8894705openalex-snapshot

Scalable System for Smart Urban Transport Management

inferred← citeshttps://doi.org/10.1155/2021/9513170openalex-snapshot

The Prediction of Multistep Traffic Flow Based on AST-GCN-LSTM

inferred← citeshttps://doi.org/10.1155/2022/2265000openalex-snapshot

An Improved CEEMDAN-FE-TCN Model for Highway Traffic Flow Prediction

inferred← citeshttps://doi.org/10.1155/2022/7690309openalex-snapshot

Examine the Prediction Error of Ride-Hailing Travel Demands with Various Ignored Sparse Demand Effects

inferred← citeshttps://doi.org/10.1155/adce/2551687openalex-snapshot

Spatiotemporal Demand Prediction for Bike Sharing Based on WT‐ConvLSTM

inferred← citeshttps://doi.org/10.1177/03611981211018693openalex-snapshot

Surrounding Vehicles’ Contribution to Car-Following Models: Deep-Learning-Based Analysis

inferred← citeshttps://doi.org/10.1177/0361198121994582openalex-snapshot

Using Deep Learning to Understand Travel Demands in Different Urban Districts

inferred← citeshttps://doi.org/10.1177/13563890251350677openalex-snapshot

Evaluation of artificial intelligence-enhanced critical infrastructure systems: A conceptual framework

inferred← citeshttps://doi.org/10.1177/14727978241299100openalex-snapshot

The optimization effect of traffic speed prediction on travel path based on improved LSTM

inferred← citeshttps://doi.org/10.1177/2399808320987093openalex-snapshot

A data-driven complex network approach for planning sustainable and inclusive urban mobility hubs and services

inferred← citeshttps://doi.org/10.1186/s13058-025-01998-8openalex-snapshot

Machine learning prediction of HER2-low expression in breast cancers based on hematoxylin–eosin-stained slides

inferred← citeshttps://doi.org/10.1186/s42400-023-00179-4openalex-snapshot

Attack based on data: a novel perspective to attack sensitive points directly

inferred← citeshttps://doi.org/10.12720/jait.15.6.723-734openalex-snapshot

Bridging the Gap: A Hybrid Approach to Medical Relation Extraction Using Pretrained Language Models and Traditional Machine Learning

inferred← citeshttps://doi.org/10.1515/nanoph-2020-0570openalex-snapshot

Expedited circular dichroism prediction and engineering in two‐dimensional diffractive chiral metamaterials leveraging a powerful model‐agnostic data enhancement algorithm

inferred← citeshttps://doi.org/10.15446/ing.investig.v42n1.90289openalex-snapshot

Detection of COVID-19 and Other Pneumonia Cases Using Convolutional Neural Networks and X-ray Images

showing the first 200 of 281

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.