IEEE Transactions on Intelligent Transportation Systems

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
Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions	177
Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System	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
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
Cooperative Driving at Unsignalized Intersections Using Tree Search	109
Longitudinal Collision Avoidance and Lateral Stability Adaptive Control System Based on MPC of Autonomous Vehicles	108
Trust in VANET: A Survey of Current Solutions and Future Research Opportunities	108
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
Anomaly Detection in Automated Vehicles Using Multistage Attention-Based Convolutional Neural Network	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
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
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks	94
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
Trajectory Optimization for High-Speed Trains via a Mixed Integer Linear Programming Approach	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 Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices	91
A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous Vehicles	91
A Novel UAV-Enabled Data Collection Scheme for Intelligent Transportation System Through UAV Speed Control	91
Distributed Cyber Attacks Detection and Recovery Mechanism for Vehicle Platooning	91
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
Pothole Detection Using Computer Vision and Learning	89
Vehicle Trajectory Clustering Based on Dynamic Representation Learning of Internet of Vehicles	88
Event-Triggered Adaptive Neural Fault-Tolerant Control of Underactuated MSVs With Input Saturation	88
Cooperative Perception for 3D Object Detection in Driving Scenarios Using Infrastructure Sensors	88
Path Following Optimization for an Underactuated USV Using Smoothly-Convergent Deep Reinforcement Learning	88
SFNet-N: An Improved SFNet Algorithm for Semantic Segmentation of Low-Light Autonomous Driving Road Scenes	87
Topological Graph Convolutional Network-Based Urban Traffic Flow and Density Prediction	87
Fuzzy Inference Enabled Deep Reinforcement Learning-Based Traffic Light Control for Intelligent Transportation System	87
DLT-Net: Joint Detection of Drivable Areas, Lane Lines, and Traffic Objects	86
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective	85
Cognitive AmBC-NOMA IoV-MTS Networks With IQI: Reliability and Security Analysis	85
Vehicle Detection and Tracking in Adverse Weather Using a Deep Learning Framework	84
A Rule-Based Cooperative Merging Strategy for Connected and Automated Vehicles	84
An Intelligent Video Analysis Method for Abnormal Event Detection in Intelligent Transportation Systems	83
Multimodal End-to-End Autonomous Driving	83
A Taxonomy and Survey of Edge Cloud Computing for Intelligent Transportation Systems and Connected Vehicles	82
Synchronized Truck and Drone Routing in Package Delivery Logistics	82
The Improvement of Road Driving Safety Guided by Visual Inattentional Blindness	81
Mobility-Aware Multi-Hop Task Offloading for Autonomous Driving in Vehicular Edge Computing and Networks	81
Long-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecture	81
Solving the Security Problem of Intelligent Transportation System With Deep Learning	81
Lane Keeping Control of Autonomous Vehicles With Prescribed Performance Considering the Rollover Prevention and Input Saturation	81
Volunteer Assisted Collaborative Offloading and Resource Allocation in Vehicular Edge Computing	80
Mobility Based Trust Evaluation for Heterogeneous Electric Vehicles Network in Smart Cities	80
Blockchain-Based Lightweight and Secured V2V Communication in the Internet of Vehicles	79
Adaptive Fault-Tolerant Sliding-Mode Control for High-Speed Trains With Actuator Faults and Uncertainties	79
Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving	79
Using Reinforcement Learning With Partial Vehicle Detection for Intelligent Traffic Signal Control	79
Interpretable End-to-End Urban Autonomous Driving With Latent Deep Reinforcement Learning	79
Mobility Aware Blockchain Enabled Offloading and Scheduling in Vehicular Fog Cloud Computing	78
TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change	78
Blockchain-Based Adaptive Trust Management in Internet of Vehicles Using Smart Contract	78
Comparing the Effects of Visual Distraction in a High-Fidelity Driving Simulator and on a Real Highway	77
Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced Graph Attention Network	77
Deep Multi-Scale Convolutional LSTM Network for Travel Demand and Origin-Destination Predictions	77
A Novel Spatio-Temporal Synchronization Method of Roadside Asynchronous MMW Radar-Camera for Sensor Fusion	77
A Survey on Resource Allocation in Vehicular Networks	77
Trust-Aware Service Offloading for Video Surveillance in Edge Computing Enabled Internet of Vehicles	76
Cooperative Lane Changing Strategies to Improve Traffic Operation and Safety Nearby Freeway Off-Ramps in a Connected and Automated Vehicles Environment	76
RadChat: Spectrum Sharing for Automotive Radar Interference Mitigation	76
Interactive Trajectory Prediction of Surrounding Road Users for Autonomous Driving Using Structural-LSTM Network	75
Collaborative Intrusion Detection for VANETs: A Deep Learning-Based Distributed SDN Approach	74
AI Empowered Communication Systems for Intelligent Transportation Systems	74
Urban Traffic Control in Software Defined Internet of Things via a Multi-Agent Deep Reinforcement Learning Approach	74
Reliable Path Planning for Drone Delivery Using a Stochastic Time-Dependent Public Transportation Network	74
Hybrid Trajectory Planning for Autonomous Driving in On-Road Dynamic Scenarios	74
HDMA: Hybrid D2D Message Authentication Scheme for 5G-Enabled VANETs	74
Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review	73
A3C-Based Intelligent Event-Triggering Control of Networked Nonlinear Unmanned Marine Vehicles Subject to Hybrid Attacks	73
Internet of Vehicles: Key Technologies, Network Model, Solutions and Challenges With Future Aspects	73
Intelligent Task Offloading for Heterogeneous V2X Communications	73
A Survey of Vehicular Cloud Research: Trends, Applications and Challenges	72
Enhanced Object Detection With Deep Convolutional Neural Networks for Advanced Driving Assistance	72
GAN-Based Day-to-Night Image Style Transfer for Nighttime Vehicle Detection	72
Restricted Deformable Convolution-Based Road Scene Semantic Segmentation Using Surround View Cameras	72
Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation	72
Pedestrian Trajectory Prediction Based on Deep Convolutional LSTM Network	71
Operating Electric Vehicle Fleet for Ride-Hailing Services With Reinforcement Learning	71
TrafficGAN: Network-Scale Deep Traffic Prediction With Generative Adversarial Nets	71
Secure Service Offloading for Internet of Vehicles in SDN-Enabled Mobile Edge Computing	71
Fuzzy Static Output Feedback Control for Path Following of Autonomous Vehicles With Transient Performance Improvements	69
PASS: Panoramic Annular Semantic Segmentation	69
Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics	69

A Short-Term Traffic Flow Prediction Model Based on an Improved Gate Recurrent Unit Neural Network	69
Traffic Flow Prediction Based on Deep Learning in Internet of Vehicles	69
Deep Learning for Security in Digital Twins of Cooperative Intelligent Transportation Systems	69
Forecasting Transportation Network Speed Using Deep Capsule Networks With Nested LSTM Models	69
Explanations in Autonomous Driving: A Survey	69
AI-Empowered Speed Extraction via Port-Like Videos for Vehicular Trajectory Analysis	69
Diversified Technologies in Internet of Vehicles Under Intelligent Edge Computing	68
Vehicle Assisted Computing Offloading for Unmanned Aerial Vehicles in Smart City	68
A New Quadratic Spacing Policy and Adaptive Fault-Tolerant Platooning With Actuator Saturation	68
Automatic Traffic Sign Detection and Recognition Using SegU-Net and a Modified Tversky Loss Function With L1-Constraint	68
UAV-Assisted Content Delivery in Intelligent Transportation Systems-Joint Trajectory Planning and Cache Management	67
A Comprehensive Review of Driver Behavior Analysis Utilizing Smartphones	67
Controllability Analysis and Optimal Control of Mixed Traffic Flow With Human-Driven and Autonomous Vehicles	67
Dynamic Driving Risk Potential Field Model Under the Connected and Automated Vehicles Environment and Its Application in Car-Following Modeling	67
Vehicle Position Correction: A Vehicular Blockchain Networks-Based GPS Error Sharing Framework	67
Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes	66
Effective Charging Planning Based on Deep Reinforcement Learning for Electric Vehicles	66
Autonomous Vehicle: Security by Design	66
Spectrum Management for Multi-Access Edge Computing in Autonomous Vehicular Networks	66
A Deep Learning-Based Mobile Crowdsensing Scheme by Predicting Vehicle Mobility	66
Vehicle Selection and Resource Optimization for Federated Learning in Vehicular Edge Computing	66
Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation	65
Energy-Efficient Resource Allocation for 6G Backscatter-Enabled NOMA IoV Networks	65
Sampled-Data Control for Connected Vehicles With Markovian Switching Topologies and Communication Delay	65
Multi-Scale Point-Wise Convolutional Neural Networks for 3D Object Segmentation From LiDAR Point Clouds in Large-Scale Environments	64
Spatio-Temporal Feature Encoding for Traffic Accident Detection in VANET Environment	64
Blockchain and Learning-Based Secure and Intelligent Task Offloading for Vehicular Fog Computing	64
Blockchain-Based Trust Management Model for Location Privacy Preserving in VANET	64
Development of UAV-Based Target Tracking and Recognition Systems	64
Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks	64
Privacy-Preserved Federated Learning for Autonomous Driving	63
Response Time and Time Headway of an Adaptive Cruise Control. An Empirical Characterization and Potential Impacts on Road Capacity	63
ReViewNet: A Fast and Resource Optimized Network for Enabling Safe Autonomous Driving in Hazy Weather Conditions	63
DMA-Net: DeepLab With Multi-Scale Attention for Pavement Crack Segmentation	63
A Systematic Literature Review About the Impact of Artificial Intelligence on Autonomous Vehicle Safety	63
Big Data Analysis Technology for Electric Vehicle Networks in Smart Cities	62
Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior	62
6G-Enabled Network in Box for Internet of Connected Vehicles	62
Secure and Efficient Data Sharing Among Vehicles Based on Consortium Blockchain	62
Towards Rear-End Collision Avoidance: Adaptive Beaconing for Connected Vehicles	62
QoE-Based Task Offloading With Deep Reinforcement Learning in Edge-Enabled Internet of Vehicles	62
Fuzzy Observer-Based Transitional Path-Tracking Control for Autonomous Vehicles	62
Perceptual Enhancement for Autonomous Vehicles: Restoring Visually Degraded Images for Context Prediction via Adversarial Training	62
CrackW-Net: A Novel Pavement Crack Image Segmentation Convolutional Neural Network	62
UAV-Assisted Physical Layer Security in Multi-Beam Satellite-Enabled Vehicle Communications	62
Risk Assessment of an Electrical Power System Considering the Influence of Traffic Congestion on a Hypothetical Scenario of Electrified Transportation System in New York State	62
DeepSTD: Mining Spatio-Temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction	62
Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles	62
Personal Mobility in Metaverse With Autonomous Vehicles Using Q-Rung Orthopair Fuzzy Sets Based OPA-RAFSI Model	61
Realizing Constant Current and Constant Voltage Outputs and Input Zero Phase Angle of Wireless Power Transfer Systems With Minimum Component Counts	61
Integrated Schedule and Trajectory Optimization for Connected Automated Vehicles in a Conflict Zone	61
Multi-Objective Optimization for Resource Allocation in Vehicular Cloud Computing Networks	61
A Survey of Deep RL and IL for Autonomous Driving Policy Learning	61
Driving Behavior Modeling Using Naturalistic Human Driving Data With Inverse Reinforcement Learning	59
3D LiDAR-Based Global Localization Using Siamese Neural Network	59
A Robust Attentional Framework for License Plate Recognition in the Wild	59
Human-Factors-in-Driving-Loop: Driver Identification and Verification via a Deep Learning Approach using Psychological Behavioral Data	59
Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors	59
Toward Offloading Internet of Vehicles Applications in 5G Networks	58
AbolDeepIO: A Novel Deep Inertial Odometry Network for Autonomous Vehicles	58
A Multi-Objective Ant Colony System Algorithm for Airline Crew Rostering Problem With Fairness and Satisfaction	58
C2FDA: Coarse-to-Fine Domain Adaptation for Traffic Object Detection	58
Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction	58
How Do Drivers Allocate Their Potential Attention? Driving Fixation Prediction via Convolutional Neural Networks	58
What Happens for a ToF LiDAR in Fog?	58
On-Ramp Merging Strategies of Connected and Automated Vehicles Considering Communication Delay	58
Pedestrian Motion Trajectory Prediction in Intelligent Driving from Far Shot First-Person Perspective Video	58
State-of-the-Art Pedestrian and Evacuation Dynamics	57
Model Predictive Control for Connected Vehicle Platoon Under Switching Communication Topology	57
Learning Dynamic and Hierarchical Traffic Spatiotemporal Features With Transformer	57
Deep Dual-Resolution Networks for Real-Time and Accurate Semantic Segmentation of Traffic Scenes	57
A Hybrid Approach to Trust Node Assessment and Management for VANETs Cooperative Data Communication: Historical Interaction Perspective	57
A Privacy-Preserving-Based Secure Framework Using Blockchain-Enabled Deep-Learning in Cooperative Intelligent Transport System	56
A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem	56
A Survey of Battery Swapping Stations for Electric Vehicles: Operation Modes and Decision Scenarios	56
Modelling Taxi Drivers’ Behaviour for the Next Destination Prediction	56
Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving	56
Approach for Short-Term Traffic Flow Prediction Based on Empirical Mode Decomposition and Combination Model Fusion	56
Investigating the Prospect of Leveraging Blockchain and Machine Learning to Secure Vehicular Networks: A Survey	56
A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles	55
Hybrid Inductive-Power-Transfer Battery Chargers for Electric Vehicle Onboard Charging With Configurable Charging Profile	55
Optimal Recourse Strategy for Battery Swapping Stations Considering Electric Vehicle Uncertainty	55
Connected Automated Vehicle Platoon Control With Input Saturation and Variable Time Headway Strategy	54
Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction	54
Research on Road Environmental Sense Method of Intelligent Vehicle Based on Tracking Check	54
An Anonymous Batch Authentication and Key Exchange Protocols for 6G Enabled VANETs	54
A Multi-Stream Feature Fusion Approach for Traffic Prediction	54
OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association	54
Preview Path Tracking Control With Delay Compensation for Autonomous Vehicles	54
Joint Communication and Trajectory Optimization for Multi-UAV Enabled Mobile Internet of Vehicles	53
Cooperative Decision Making of Connected Automated Vehicles at Multi-Lane Merging Zone: A Coalitional Game Approach	53
Outliers-Robust CFAR Detector of Gaussian Clutter Based on the Truncated-Maximum-Likelihood- Estimator in SAR Imagery	53
Detection of Collision-Prone Vehicle Behavior at Intersections Using Siamese Interaction LSTM	53
Establishing Platoons of Bidirectional Cooperative Vehicles With Engine Limits and Uncertain Dynamics	53
A Probabilistic Approach for Cooperative Computation Offloading in MEC-Assisted Vehicular Networks	52