IEEE Intelligent Transportation Systems Magazine

Papers
(The H4-Index of IEEE Intelligent Transportation Systems Magazine is 25. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Design of Running Grades for Energy-Efficient Train Regulation: A Case Study for Beijing Yizhuang Line126
Vehicle Trajectory Prediction Using LSTMs With Spatial–Temporal Attention Mechanisms91
Security and Privacy Issues in Intelligent Transportation Systems: Classification and Challenges79
A Novel Perspective on Travel Demand Prediction Considering Natural Environmental and Socioeconomic Factors61
Test Scenario Generation and Optimization Technology for Intelligent Driving Systems52
A Fault Diagnosis Method for Train Plug Doors via Sound Signals52
The Fault Diagnosis of a Switch Machine Based on Deep Random Forest Fusion50
Cooperative Control of Heterogeneous Connected Vehicles with Directed Acyclic Interactions50
DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond48
Enhanced Mobility With Connectivity and Automation: A Review of Shared Autonomous Vehicle Systems46
Graph Attention LSTM: A Spatiotemporal Approach for Traffic Flow Forecasting45
Limited Sensing and Deep Data Mining: A New Exploration of Developing City-Wide Parking Guidance Systems42
Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges38
The Role of Digital Twins in Connected and Automated Vehicles38
Intelligent Transportation System Security: Impact-Oriented Risk Assessment of in-Vehicle Networks36
A Deep Reinforcement Learning Approach to Ride-Sharing Vehicle Dispatching in Autonomous Mobility-on-Demand Systems34
Mapping for Autonomous Driving: Opportunities and Challenges33
Ethical Decision Making in Autonomous Vehicles: Challenges and Research Progress33
Automatic Vehicle Detection With Roadside LiDAR Data Under Rainy and Snowy Conditions30
On-Road Object Detection and Tracking Based on Radar and Vision Fusion: A Review30
A Cooperative Multiagent System for Traffic Signal Control Using Game Theory and Reinforcement Learning28
Autonomous and Semiautonomous Intersection Management: A Survey27
Threat Assessment Techniques in Intelligent Vehicles: A Comparative Survey27
Handling Occlusions in Automated Driving Using a Multiaccess Edge Computing Server-Based Environment Model From Infrastructure Sensors26
Eco-Driving Operation of Connected Vehicle With V2I Communication Among Multiple Signalized Intersections25
Human–Machine Adaptive Shared Control for Safe Driving Under Automation Degradation25
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