OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Intelligent Transportation Systems is 92. 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 2020-05-01 to 2024-05-01.)

Article	Citations
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction	1325
Deep Reinforcement Learning for Autonomous Driving: A Survey	648
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges	557
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting	455
A Review of Motion Planning for Highway Autonomous Driving	343
A Survey of Deep Learning Applications to Autonomous Vehicle Control	333
Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review	276
Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives	266
A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction	229
An Energy-Efficient Train Operation Approach by Integrating the Metro Timetabling and Eco-Driving	225
An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System	225
Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution	221
A Novel Gate Resource Allocation Method Using Improved PSO-Based QEA	215
Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends	209
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey	203
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles	201
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review	198
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management	198
Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction	188
Efficient and Secure Routing Protocol Based on Artificial Intelligence Algorithms With UAV-Assisted for Vehicular Ad Hoc Networks in Intelligent Transportation Systems	182
Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions	181
Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System	178
V2VR: Reliable Hybrid-Network-Oriented V2V Data Transmission and Routing Considering RSUs and Connectivity Probability	175
Research Advances and Challenges of Autonomous and Connected Ground Vehicles	164
A Clustering-Based Coverage Path Planning Method for Autonomous Heterogeneous UAVs	162

Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System	159
Deep Learning for Visual Tracking: A Comprehensive Survey	157
A Hierarchical Blockchain-Enabled Federated Learning Algorithm for Knowledge Sharing in Internet of Vehicles	157
Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning	155
Resource Allocation in 5G IoV Architecture Based on SDN and Fog-Cloud Computing	153
Urban Air Mobility: History, Ecosystem, Market Potential, and Challenges	147
Automotive LiDAR Technology: A Survey	144
User-Oriented Virtual Mobile Network Resource Management for Vehicle Communications	140
Coordinated Charging Scheduling of Electric Vehicles: A Mixed-Variable Differential Evolution Approach	139
Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach	137
Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach	136
Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction	133
A Novel Cost Optimization Strategy for SDN-Enabled UAV-Assisted Vehicular Computation Offloading	133
Large-Scale Many-Objective Deployment Optimization of Edge Servers	130
A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid	130
Characterizing Urban Vehicle-to-Vehicle Communications for Reliable Safety Applications	128
Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions	128
Memory-Based Deep Reinforcement Learning for Obstacle Avoidance in UAV With Limited Environment Knowledge	126
Edge Caching and Computation Management for Real-Time Internet of Vehicles: An Online and Distributed Approach	120
Short-Term Traffic Flow Prediction for Urban Road Sections Based on Time Series Analysis and LSTM_BILSTM Method	119
Robust Target Recognition and Tracking of Self-Driving Cars With Radar and Camera Information Fusion Under Severe Weather Conditions	119
Are Commercially Implemented Adaptive Cruise Control Systems String Stable?	118
High-Resolution Vehicle Trajectory Extraction and Denoising From Aerial Videos	115
Platoon Control of Connected Multi-Vehicle Systems Under V2X Communications: Design and Experiments	115
Longitudinal Collision Avoidance and Lateral Stability Adaptive Control System Based on MPC of Autonomous Vehicles	115
Trust in VANET: A Survey of Current Solutions and Future Research Opportunities	114
BCPPA: A Blockchain-Based Conditional Privacy-Preserving Authentication Protocol for Vehicular Ad Hoc Networks	113
Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems	113
Cooperative Driving at Unsignalized Intersections Using Tree Search	112
A Survey on Cyber-Security of Connected and Autonomous Vehicles (CAVs)	110
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey	110
Diversified Personalized Recommendation Optimization Based on Mobile Data	110
Fault Detection Filter and Controller Co-Design for Unmanned Surface Vehicles Under DoS Attacks	109
Anomaly Detection in Automated Vehicles Using Multistage Attention-Based Convolutional Neural Network	109
EEG-Based Driver Drowsiness Estimation Using an Online Multi-View and Transfer TSK Fuzzy System	109
A Sound-Based Fault Diagnosis Method for Railway Point Machines Based on Two-Stage Feature Selection Strategy and Ensemble Classifier	109
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection	108
FedCPF: An Efficient-Communication Federated Learning Approach for Vehicular Edge Computing in 6G Communication Networks	108
CrackGAN: Pavement Crack Detection Using Partially Accurate Ground Truths Based on Generative Adversarial Learning	106
Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit	104
Cooperative Eco-Driving at Signalized Intersections in a Partially Connected and Automated Vehicle Environment	104
Traffic Pattern Mining and Forecasting Technologies in Maritime Traffic Service Networks: A Comprehensive Survey	104
Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey	102
Daily Traffic Flow Forecasting Through a Contextual Convolutional Recurrent Neural Network Modeling Inter- and Intra-Day Traffic Patterns	102
ERTMS/ETCS Virtual Coupling: Proof of Concept and Numerical Analysis	102
Adaptive Computation Offloading With Edge for 5G-Envisioned Internet of Connected Vehicles	102
Trajectory Planning for Autonomous High-Speed Overtaking in Structured Environments Using Robust MPC	102
An Adaptive Clustering-Based Algorithm for Automatic Path Planning of Heterogeneous UAVs	98
Deep Learning Based Semi-Supervised Control for Vertical Security of Maglev Vehicle With Guaranteed Bounded Airgap	98
A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices	98

A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous Vehicles	97
Is it Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Autonomous Driving	96
Offline and Online Electric Vehicle Charging Scheduling With V2V Energy Transfer	96
The Improvement of Road Driving Safety Guided by Visual Inattentional Blindness	96
Deep Learning Based Caching for Self-Driving Cars in Multi-Access Edge Computing	96
Methodology and Mobile Application for Driver Behavior Analysis and Accident Prevention	96
Pothole Detection Using Computer Vision and Learning	95
Cooperative Perception for 3D Object Detection in Driving Scenarios Using Infrastructure Sensors	95
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving	94
Trajectory Optimization for High-Speed Trains via a Mixed Integer Linear Programming Approach	94
Event-Triggered Adaptive Neural Fault-Tolerant Control of Underactuated MSVs With Input Saturation	94
Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology	94
A Spatial–Temporal Attention Approach for Traffic Prediction	93
SFNet-N: An Improved SFNet Algorithm for Semantic Segmentation of Low-Light Autonomous Driving Road Scenes	93
Speech Emotion Recognition Enhanced Traffic Efficiency Solution for Autonomous Vehicles in a 5G-Enabled Space–Air–Ground Integrated Intelligent Transportation System	93
Vehicle Trajectory Clustering Based on Dynamic Representation Learning of Internet of Vehicles	92
Distributed Cyber Attacks Detection and Recovery Mechanism for Vehicle Platooning	92
A Novel UAV-Enabled Data Collection Scheme for Intelligent Transportation System Through UAV Speed Control	92