OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Intelligent Transportation Systems is 96. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Deep Reinforcement Learning for Autonomous Driving: A Survey	827
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges	666
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting	513
A Survey of Deep Learning Applications to Autonomous Vehicle Control	388
Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review	326
A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction	273
Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives	272
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles	271
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey	261
An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System	257
Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions	247
Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution	244
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review	238
Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction	215
A Novel Gate Resource Allocation Method Using Improved PSO-Based QEA	210
Efficient and Secure Routing Protocol Based on Artificial Intelligence Algorithms With UAV-Assisted for Vehicular Ad Hoc Networks in Intelligent Transportation Systems	209
Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System	194
Urban Air Mobility: History, Ecosystem, Market Potential, and Challenges	191
A Clustering-Based Coverage Path Planning Method for Autonomous Heterogeneous UAVs	190
Research Advances and Challenges of Autonomous and Connected Ground Vehicles	190
Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning	189
A Hierarchical Blockchain-Enabled Federated Learning Algorithm for Knowledge Sharing in Internet of Vehicles	189
V2VR: Reliable Hybrid-Network-Oriented V2V Data Transmission and Routing Considering RSUs and Connectivity Probability	184
Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions	184
Resource Allocation in 5G IoV Architecture Based on SDN and Fog-Cloud Computing	180

Automotive LiDAR Technology: A Survey	179
Deep Learning for Visual Tracking: A Comprehensive Survey	178
Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System	170
Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach	167
Short-Term Traffic Flow Prediction for Urban Road Sections Based on Time Series Analysis and LSTM_BILSTM Method	160
Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach	160
A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid	156
A Survey on Cyber-Security of Connected and Autonomous Vehicles (CAVs)	151
User-Oriented Virtual Mobile Network Resource Management for Vehicle Communications	148
Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction	148
Coordinated Charging Scheduling of Electric Vehicles: A Mixed-Variable Differential Evolution Approach	146
Memory-Based Deep Reinforcement Learning for Obstacle Avoidance in UAV With Limited Environment Knowledge	146
A Novel Cost Optimization Strategy for SDN-Enabled UAV-Assisted Vehicular Computation Offloading	145
Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems	145
Robust Target Recognition and Tracking of Self-Driving Cars With Radar and Camera Information Fusion Under Severe Weather Conditions	143
Large-Scale Many-Objective Deployment Optimization of Edge Servers	141
Are Commercially Implemented Adaptive Cruise Control Systems String Stable?	141
A Sound-Based Fault Diagnosis Method for Railway Point Machines Based on Two-Stage Feature Selection Strategy and Ensemble Classifier	140
Fault Detection Filter and Controller Co-Design for Unmanned Surface Vehicles Under DoS Attacks	135
FedCPF: An Efficient-Communication Federated Learning Approach for Vehicular Edge Computing in 6G Communication Networks	135
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection	134
BCPPA: A Blockchain-Based Conditional Privacy-Preserving Authentication Protocol for Vehicular Ad Hoc Networks	133
Edge Caching and Computation Management for Real-Time Internet of Vehicles: An Online and Distributed Approach	133
Trust in VANET: A Survey of Current Solutions and Future Research Opportunities	131
Cooperative Driving at Unsignalized Intersections Using Tree Search	130
Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey	127
Diversified Personalized Recommendation Optimization Based on Mobile Data	127
High-Resolution Vehicle Trajectory Extraction and Denoising From Aerial Videos	126
A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous Vehicles	126
Cooperative Perception for 3D Object Detection in Driving Scenarios Using Infrastructure Sensors	125
Anomaly Detection in Automated Vehicles Using Multistage Attention-Based Convolutional Neural Network	121
Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit	121
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving	121
CrackGAN: Pavement Crack Detection Using Partially Accurate Ground Truths Based on Generative Adversarial Learning	121
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey	119
Deep Dual-Resolution Networks for Real-Time and Accurate Semantic Segmentation of Traffic Scenes	117
Vehicle Detection and Tracking in Adverse Weather Using a Deep Learning Framework	115
Mobility-Aware Multi-Hop Task Offloading for Autonomous Driving in Vehicular Edge Computing and Networks	115
Event-Triggered Adaptive Neural Fault-Tolerant Control of Underactuated MSVs With Input Saturation	115
EEG-Based Driver Drowsiness Estimation Using an Online Multi-View and Transfer TSK Fuzzy System	115
A Taxonomy and Survey of Edge Cloud Computing for Intelligent Transportation Systems and Connected Vehicles	115
A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices	115
An Adaptive Clustering-Based Algorithm for Automatic Path Planning of Heterogeneous UAVs	114
Trajectory Optimization for High-Speed Trains via a Mixed Integer Linear Programming Approach	113
Path Following Optimization for an Underactuated USV Using Smoothly-Convergent Deep Reinforcement Learning	113
Multimodal End-to-End Autonomous Driving	113
Daily Traffic Flow Forecasting Through a Contextual Convolutional Recurrent Neural Network Modeling Inter- and Intra-Day Traffic Patterns	111
Synchronized Truck and Drone Routing in Package Delivery Logistics	109
DLT-Net: Joint Detection of Drivable Areas, Lane Lines, and Traffic Objects	109
The Improvement of Road Driving Safety Guided by Visual Inattentional Blindness	109

Adaptive Computation Offloading With Edge for 5G-Envisioned Internet of Connected Vehicles	109
SFNet-N: An Improved SFNet Algorithm for Semantic Segmentation of Low-Light Autonomous Driving Road Scenes	109
Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology	108
Cognitive AmBC-NOMA IoV-MTS Networks With IQI: Reliability and Security Analysis	108
Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced Graph Attention Network	108
Deep Learning Based Semi-Supervised Control for Vertical Security of Maglev Vehicle With Guaranteed Bounded Airgap	108
Long-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecture	108
Speech Emotion Recognition Enhanced Traffic Efficiency Solution for Autonomous Vehicles in a 5G-Enabled Space–Air–Ground Integrated Intelligent Transportation System	107
A Novel UAV-Enabled Data Collection Scheme for Intelligent Transportation System Through UAV Speed Control	107
Interpretable End-to-End Urban Autonomous Driving With Latent Deep Reinforcement Learning	106
Deep Learning Based Caching for Self-Driving Cars in Multi-Access Edge Computing	106
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective	105
A Spatial–Temporal Attention Approach for Traffic Prediction	105
Vehicle Trajectory Clustering Based on Dynamic Representation Learning of Internet of Vehicles	104
Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review	103
DMA-Net: DeepLab With Multi-Scale Attention for Pavement Crack Segmentation	102
Fuzzy Inference Enabled Deep Reinforcement Learning-Based Traffic Light Control for Intelligent Transportation System	101
Explanations in Autonomous Driving: A Survey	100
Blockchain-Based Adaptive Trust Management in Internet of Vehicles Using Smart Contract	98
A Short-Term Traffic Flow Prediction Model Based on an Improved Gate Recurrent Unit Neural Network	98
Blockchain-Based Lightweight and Secured V2V Communication in the Internet of Vehicles	97
Disparity-Based Multiscale Fusion Network for Transportation Detection	96