OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Intelligent Transportation Systems Magazine is 26. 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 2020-07-01 to 2024-07-01.)

Article	Citations
Design of Running Grades for Energy-Efficient Train Regulation: A Case Study for Beijing Yizhuang Line	131
Vehicle Trajectory Prediction Using LSTMs With Spatial–Temporal Attention Mechanisms	109
Security and Privacy Issues in Intelligent Transportation Systems: Classification and Challenges	85
A Novel Perspective on Travel Demand Prediction Considering Natural Environmental and Socioeconomic Factors	64
A Fault Diagnosis Method for Train Plug Doors via Sound Signals	57
The Fault Diagnosis of a Switch Machine Based on Deep Random Forest Fusion	56
Limited Sensing and Deep Data Mining: A New Exploration of Developing City-Wide Parking Guidance Systems	55
Test Scenario Generation and Optimization Technology for Intelligent Driving Systems	54
Cooperative Control of Heterogeneous Connected Vehicles with Directed Acyclic Interactions	54
DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond	51
Graph Attention LSTM: A Spatiotemporal Approach for Traffic Flow Forecasting	50
The Role of Digital Twins in Connected and Automated Vehicles	49
Enhanced Mobility With Connectivity and Automation: A Review of Shared Autonomous Vehicle Systems	49
A Deep Reinforcement Learning Approach to Ride-Sharing Vehicle Dispatching in Autonomous Mobility-on-Demand Systems	42
Mapping for Autonomous Driving: Opportunities and Challenges	41
On-Road Object Detection and Tracking Based on Radar and Vision Fusion: A Review	41
Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges	39
Ethical Decision Making in Autonomous Vehicles: Challenges and Research Progress	36
Intelligent Transportation System Security: Impact-Oriented Risk Assessment of in-Vehicle Networks	36
Automatic Vehicle Detection With Roadside LiDAR Data Under Rainy and Snowy Conditions	33
A Cooperative Multiagent System for Traffic Signal Control Using Game Theory and Reinforcement Learning	32
Threat Assessment Techniques in Intelligent Vehicles: A Comparative Survey	31
Eco-Driving Operation of Connected Vehicle With V2I Communication Among Multiple Signalized Intersections	30
Autonomous and Semiautonomous Intersection Management: A Survey	30
Human–Machine Adaptive Shared Control for Safe Driving Under Automation Degradation	27

Handling Occlusions in Automated Driving Using a Multiaccess Edge Computing Server-Based Environment Model From Infrastructure Sensors	27
Comparative Analysis of Radar and Lidar Technologies for Automotive Applications	26