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
A Fault Diagnosis Method for Train Plug Doors via Sound Signals52
Test Scenario Generation and Optimization Technology for Intelligent Driving Systems52
Cooperative Control of Heterogeneous Connected Vehicles with Directed Acyclic Interactions50
The Fault Diagnosis of a Switch Machine Based on Deep Random Forest Fusion50
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
Ethical Decision Making in Autonomous Vehicles: Challenges and Research Progress33
Mapping for Autonomous Driving: Opportunities and Challenges33
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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