IEEE Intelligent Transportation Systems Magazine

Papers
(The H4-Index of IEEE Intelligent Transportation Systems Magazine is 29. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Design of Running Grades for Energy-Efficient Train Regulation: A Case Study for Beijing Yizhuang Line136
Vehicle Trajectory Prediction Using LSTMs With Spatial–Temporal Attention Mechanisms127
Security and Privacy Issues in Intelligent Transportation Systems: Classification and Challenges95
A Novel Perspective on Travel Demand Prediction Considering Natural Environmental and Socioeconomic Factors65
The Fault Diagnosis of a Switch Machine Based on Deep Random Forest Fusion63
Limited Sensing and Deep Data Mining: A New Exploration of Developing City-Wide Parking Guidance Systems62
A Fault Diagnosis Method for Train Plug Doors via Sound Signals61
The Role of Digital Twins in Connected and Automated Vehicles59
Cooperative Control of Heterogeneous Connected Vehicles with Directed Acyclic Interactions57
DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond55
Graph Attention LSTM: A Spatiotemporal Approach for Traffic Flow Forecasting55
Test Scenario Generation and Optimization Technology for Intelligent Driving Systems55
Enhanced Mobility With Connectivity and Automation: A Review of Shared Autonomous Vehicle Systems50
On-Road Object Detection and Tracking Based on Radar and Vision Fusion: A Review49
Mapping for Autonomous Driving: Opportunities and Challenges48
A Deep Reinforcement Learning Approach to Ride-Sharing Vehicle Dispatching in Autonomous Mobility-on-Demand Systems43
Ethical Decision Making in Autonomous Vehicles: Challenges and Research Progress42
Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges41
Threat Assessment Techniques in Intelligent Vehicles: A Comparative Survey40
Automatic Vehicle Detection With Roadside LiDAR Data Under Rainy and Snowy Conditions39
Intelligent Transportation System Security: Impact-Oriented Risk Assessment of in-Vehicle Networks39
Collaborative Perception in Autonomous Driving: Methods, Datasets, and Challenges37
Comparative Analysis of Radar and Lidar Technologies for Automotive Applications36
Handling Occlusions in Automated Driving Using a Multiaccess Edge Computing Server-Based Environment Model From Infrastructure Sensors34
A Cooperative Multiagent System for Traffic Signal Control Using Game Theory and Reinforcement Learning34
Human–Machine Adaptive Shared Control for Safe Driving Under Automation Degradation33
Autonomous and Semiautonomous Intersection Management: A Survey33
Eco-Driving Operation of Connected Vehicle With V2I Communication Among Multiple Signalized Intersections33
Distributed Stochastic Model Predictive Control for Heterogeneous Vehicle Platoons Subject to Modeling Uncertainties32
Human-Like Decision Making of Artificial Drivers in Intelligent Transportation Systems: An End-to-End Driving Behavior Prediction Approach29
Acclimatizing the Operational Design Domain for Autonomous Driving Systems29
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