OOIR: Observatory of International Research

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 2020-09-01 to 2024-09-01.)

Article	Citations
Design of Running Grades for Energy-Efficient Train Regulation: A Case Study for Beijing Yizhuang Line	135
Vehicle Trajectory Prediction Using LSTMs With Spatial–Temporal Attention Mechanisms	126
Security and Privacy Issues in Intelligent Transportation Systems: Classification and Challenges	90
A Novel Perspective on Travel Demand Prediction Considering Natural Environmental and Socioeconomic Factors	63
A Fault Diagnosis Method for Train Plug Doors via Sound Signals	61
Limited Sensing and Deep Data Mining: A New Exploration of Developing City-Wide Parking Guidance Systems	61
The Fault Diagnosis of a Switch Machine Based on Deep Random Forest Fusion	60
The Role of Digital Twins in Connected and Automated Vehicles	58
Cooperative Control of Heterogeneous Connected Vehicles with Directed Acyclic Interactions	55
Test Scenario Generation and Optimization Technology for Intelligent Driving Systems	55
Graph Attention LSTM: A Spatiotemporal Approach for Traffic Flow Forecasting	54
DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond	54
Enhanced Mobility With Connectivity and Automation: A Review of Shared Autonomous Vehicle Systems	48
Mapping for Autonomous Driving: Opportunities and Challenges	47
On-Road Object Detection and Tracking Based on Radar and Vision Fusion: A Review	46
A Deep Reinforcement Learning Approach to Ride-Sharing Vehicle Dispatching in Autonomous Mobility-on-Demand Systems	43
Ethical Decision Making in Autonomous Vehicles: Challenges and Research Progress	40
Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges	40
Automatic Vehicle Detection With Roadside LiDAR Data Under Rainy and Snowy Conditions	39
Intelligent Transportation System Security: Impact-Oriented Risk Assessment of in-Vehicle Networks	39
Threat Assessment Techniques in Intelligent Vehicles: A Comparative Survey	39
A Cooperative Multiagent System for Traffic Signal Control Using Game Theory and Reinforcement Learning	34
Handling Occlusions in Automated Driving Using a Multiaccess Edge Computing Server-Based Environment Model From Infrastructure Sensors	33
Autonomous and Semiautonomous Intersection Management: A Survey	33
Human–Machine Adaptive Shared Control for Safe Driving Under Automation Degradation	32

Comparative Analysis of Radar and Lidar Technologies for Automotive Applications	32
Distributed Stochastic Model Predictive Control for Heterogeneous Vehicle Platoons Subject to Modeling Uncertainties	31
Collaborative Perception in Autonomous Driving: Methods, Datasets, and Challenges	31
Eco-Driving Operation of Connected Vehicle With V2I Communication Among Multiple Signalized Intersections	30
Human-Like Decision Making of Artificial Drivers in Intelligent Transportation Systems: An End-to-End Driving Behavior Prediction Approach	29