OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Intelligent Transportation Systems is 89. 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.)

Article	Citations
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction	1271
Deep Reinforcement Learning for Autonomous Driving: A Survey	606
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges	533
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection	471
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting	442
A Review of Motion Planning for Highway Autonomous Driving	336
A Survey of Deep Learning Applications to Autonomous Vehicle Control	322
Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review	261
Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives	251
An Energy-Efficient Train Operation Approach by Integrating the Metro Timetabling and Eco-Driving	224
An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System	220
A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction	220
Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution	215
A Novel Gate Resource Allocation Method Using Improved PSO-Based QEA	212
Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends	204
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey	197
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles	193
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management	193
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review	186
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition	181
Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction	179
Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System	177
Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions	177
V2VR: Reliable Hybrid-Network-Oriented V2V Data Transmission and Routing Considering RSUs and Connectivity Probability	174
Efficient and Secure Routing Protocol Based on Artificial Intelligence Algorithms With UAV-Assisted for Vehicular Ad Hoc Networks in Intelligent Transportation Systems	173

Research Advances and Challenges of Autonomous and Connected Ground Vehicles	160
Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System	158
A Clustering-Based Coverage Path Planning Method for Autonomous Heterogeneous UAVs	158
A Hierarchical Blockchain-Enabled Federated Learning Algorithm for Knowledge Sharing in Internet of Vehicles	153
Deep Learning for Visual Tracking: A Comprehensive Survey	153
Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning	146
Resource Allocation in 5G IoV Architecture Based on SDN and Fog-Cloud Computing	144
Urban Air Mobility: History, Ecosystem, Market Potential, and Challenges	142
Automotive LiDAR Technology: A Survey	139
User-Oriented Virtual Mobile Network Resource Management for Vehicle Communications	138
Coordinated Charging Scheduling of Electric Vehicles: A Mixed-Variable Differential Evolution Approach	136
Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach	133
A Novel Cost Optimization Strategy for SDN-Enabled UAV-Assisted Vehicular Computation Offloading	132
Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach	128
A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid	127
Characterizing Urban Vehicle-to-Vehicle Communications for Reliable Safety Applications	126
Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction	126
Large-Scale Many-Objective Deployment Optimization of Edge Servers	124
Memory-Based Deep Reinforcement Learning for Obstacle Avoidance in UAV With Limited Environment Knowledge	123
Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions	120
Naturalistic Driver Intention and Path Prediction Using Recurrent Neural Networks	118
Are Commercially Implemented Adaptive Cruise Control Systems String Stable?	114
Platoon Control of Connected Multi-Vehicle Systems Under V2X Communications: Design and Experiments	112
High-Resolution Vehicle Trajectory Extraction and Denoising From Aerial Videos	111
Cooperative Driving at Unsignalized Intersections Using Tree Search	109
Short-Term Traffic Flow Prediction for Urban Road Sections Based on Time Series Analysis and LSTM_BILSTM Method	109
Edge Caching and Computation Management for Real-Time Internet of Vehicles: An Online and Distributed Approach	109
Trust in VANET: A Survey of Current Solutions and Future Research Opportunities	108
Longitudinal Collision Avoidance and Lateral Stability Adaptive Control System Based on MPC of Autonomous Vehicles	108
Anomaly Detection in Automated Vehicles Using Multistage Attention-Based Convolutional Neural Network	107
Short-Term Prediction of Passenger Demand in Multi-Zone Level: Temporal Convolutional Neural Network With Multi-Task Learning	107
Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems	107
Robust Target Recognition and Tracking of Self-Driving Cars With Radar and Camera Information Fusion Under Severe Weather Conditions	106
Fault Detection Filter and Controller Co-Design for Unmanned Surface Vehicles Under DoS Attacks	105
A Sound-Based Fault Diagnosis Method for Railway Point Machines Based on Two-Stage Feature Selection Strategy and Ensemble Classifier	105
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey	105
EEG-Based Driver Drowsiness Estimation Using an Online Multi-View and Transfer TSK Fuzzy System	104
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection	103
BCPPA: A Blockchain-Based Conditional Privacy-Preserving Authentication Protocol for Vehicular Ad Hoc Networks	103
CrackGAN: Pavement Crack Detection Using Partially Accurate Ground Truths Based on Generative Adversarial Learning	103
Diversified Personalized Recommendation Optimization Based on Mobile Data	103
FedCPF: An Efficient-Communication Federated Learning Approach for Vehicular Edge Computing in 6G Communication Networks	102
Traffic Pattern Mining and Forecasting Technologies in Maritime Traffic Service Networks: A Comprehensive Survey	102
Adaptive Computation Offloading With Edge for 5G-Envisioned Internet of Connected Vehicles	101
A Survey on Cyber-Security of Connected and Autonomous Vehicles (CAVs)	101
Daily Traffic Flow Forecasting Through a Contextual Convolutional Recurrent Neural Network Modeling Inter- and Intra-Day Traffic Patterns	100
Cooperative Eco-Driving at Signalized Intersections in a Partially Connected and Automated Vehicle Environment	100
Trajectory Planning for Autonomous High-Speed Overtaking in Structured Environments Using Robust MPC	100
ERTMS/ETCS Virtual Coupling: Proof of Concept and Numerical Analysis	98
Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey	96

Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit	96
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks	94
Offline and Online Electric Vehicle Charging Scheduling With V2V Energy Transfer	94
An Adaptive Clustering-Based Algorithm for Automatic Path Planning of Heterogeneous UAVs	94
Deep Learning Based Semi-Supervised Control for Vertical Security of Maglev Vehicle With Guaranteed Bounded Airgap	94
Trajectory Optimization for High-Speed Trains via a Mixed Integer Linear Programming Approach	93
Is it Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Autonomous Driving	93
Methodology and Mobile Application for Driver Behavior Analysis and Accident Prevention	93
Deep Learning Based Caching for Self-Driving Cars in Multi-Access Edge Computing	92
A Spatial–Temporal Attention Approach for Traffic Prediction	92
A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous Vehicles	91
Distributed Cyber Attacks Detection and Recovery Mechanism for Vehicle Platooning	91
A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices	91
A Novel UAV-Enabled Data Collection Scheme for Intelligent Transportation System Through UAV Speed Control	91
Pothole Detection Using Computer Vision and Learning	89
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving	89
Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology	89
Speech Emotion Recognition Enhanced Traffic Efficiency Solution for Autonomous Vehicles in a 5G-Enabled Space–Air–Ground Integrated Intelligent Transportation System	89