IEEE Transactions on Intelligent Transportation Systems

Papers
(The median citation count of IEEE Transactions on Intelligent Transportation Systems is 5. 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.)
ArticleCitations
Deep Reinforcement Learning for Autonomous Driving: A Survey827
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges666
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting513
A Survey of Deep Learning Applications to Autonomous Vehicle Control388
Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review326
A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction273
Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives272
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles271
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey261
An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System257
Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions247
Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution244
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review238
Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction215
A Novel Gate Resource Allocation Method Using Improved PSO-Based QEA210
Efficient and Secure Routing Protocol Based on Artificial Intelligence Algorithms With UAV-Assisted for Vehicular Ad Hoc Networks in Intelligent Transportation Systems209
Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System194
Urban Air Mobility: History, Ecosystem, Market Potential, and Challenges191
Research Advances and Challenges of Autonomous and Connected Ground Vehicles190
A Clustering-Based Coverage Path Planning Method for Autonomous Heterogeneous UAVs190
A Hierarchical Blockchain-Enabled Federated Learning Algorithm for Knowledge Sharing in Internet of Vehicles189
Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning189
V2VR: Reliable Hybrid-Network-Oriented V2V Data Transmission and Routing Considering RSUs and Connectivity Probability184
Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions184
Resource Allocation in 5G IoV Architecture Based on SDN and Fog-Cloud Computing180
Automotive LiDAR Technology: A Survey179
Deep Learning for Visual Tracking: A Comprehensive Survey178
Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System170
Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach167
Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach160
Short-Term Traffic Flow Prediction for Urban Road Sections Based on Time Series Analysis and LSTM_BILSTM Method160
A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid156
A Survey on Cyber-Security of Connected and Autonomous Vehicles (CAVs)151
Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction148
User-Oriented Virtual Mobile Network Resource Management for Vehicle Communications148
Memory-Based Deep Reinforcement Learning for Obstacle Avoidance in UAV With Limited Environment Knowledge146
Coordinated Charging Scheduling of Electric Vehicles: A Mixed-Variable Differential Evolution Approach146
A Novel Cost Optimization Strategy for SDN-Enabled UAV-Assisted Vehicular Computation Offloading145
Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems145
Robust Target Recognition and Tracking of Self-Driving Cars With Radar and Camera Information Fusion Under Severe Weather Conditions143
Are Commercially Implemented Adaptive Cruise Control Systems String Stable?141
Large-Scale Many-Objective Deployment Optimization of Edge Servers141
A Sound-Based Fault Diagnosis Method for Railway Point Machines Based on Two-Stage Feature Selection Strategy and Ensemble Classifier140
FedCPF: An Efficient-Communication Federated Learning Approach for Vehicular Edge Computing in 6G Communication Networks135
Fault Detection Filter and Controller Co-Design for Unmanned Surface Vehicles Under DoS Attacks135
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection134
Edge Caching and Computation Management for Real-Time Internet of Vehicles: An Online and Distributed Approach133
BCPPA: A Blockchain-Based Conditional Privacy-Preserving Authentication Protocol for Vehicular Ad Hoc Networks133
Trust in VANET: A Survey of Current Solutions and Future Research Opportunities131
Cooperative Driving at Unsignalized Intersections Using Tree Search130
Diversified Personalized Recommendation Optimization Based on Mobile Data127
Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey127
A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous Vehicles126
High-Resolution Vehicle Trajectory Extraction and Denoising From Aerial Videos126
Cooperative Perception for 3D Object Detection in Driving Scenarios Using Infrastructure Sensors125
CrackGAN: Pavement Crack Detection Using Partially Accurate Ground Truths Based on Generative Adversarial Learning121
Anomaly Detection in Automated Vehicles Using Multistage Attention-Based Convolutional Neural Network121
Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit121
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving121
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey119
Deep Dual-Resolution Networks for Real-Time and Accurate Semantic Segmentation of Traffic Scenes117
A Taxonomy and Survey of Edge Cloud Computing for Intelligent Transportation Systems and Connected Vehicles115
A Smart, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices115
Vehicle Detection and Tracking in Adverse Weather Using a Deep Learning Framework115
Mobility-Aware Multi-Hop Task Offloading for Autonomous Driving in Vehicular Edge Computing and Networks115
Event-Triggered Adaptive Neural Fault-Tolerant Control of Underactuated MSVs With Input Saturation115
EEG-Based Driver Drowsiness Estimation Using an Online Multi-View and Transfer TSK Fuzzy System115
An Adaptive Clustering-Based Algorithm for Automatic Path Planning of Heterogeneous UAVs114
Multimodal End-to-End Autonomous Driving113
Trajectory Optimization for High-Speed Trains via a Mixed Integer Linear Programming Approach113
Path Following Optimization for an Underactuated USV Using Smoothly-Convergent Deep Reinforcement Learning113
Daily Traffic Flow Forecasting Through a Contextual Convolutional Recurrent Neural Network Modeling Inter- and Intra-Day Traffic Patterns111
The Improvement of Road Driving Safety Guided by Visual Inattentional Blindness109
Adaptive Computation Offloading With Edge for 5G-Envisioned Internet of Connected Vehicles109
SFNet-N: An Improved SFNet Algorithm for Semantic Segmentation of Low-Light Autonomous Driving Road Scenes109
Synchronized Truck and Drone Routing in Package Delivery Logistics109
DLT-Net: Joint Detection of Drivable Areas, Lane Lines, and Traffic Objects109
Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced Graph Attention Network108
Deep Learning Based Semi-Supervised Control for Vertical Security of Maglev Vehicle With Guaranteed Bounded Airgap108
Long-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecture108
Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology108
Cognitive AmBC-NOMA IoV-MTS Networks With IQI: Reliability and Security Analysis108
A Novel UAV-Enabled Data Collection Scheme for Intelligent Transportation System Through UAV Speed Control107
Speech Emotion Recognition Enhanced Traffic Efficiency Solution for Autonomous Vehicles in a 5G-Enabled Space–Air–Ground Integrated Intelligent Transportation System107
Deep Learning Based Caching for Self-Driving Cars in Multi-Access Edge Computing106
Interpretable End-to-End Urban Autonomous Driving With Latent Deep Reinforcement Learning106
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective105
A Spatial–Temporal Attention Approach for Traffic Prediction105
Vehicle Trajectory Clustering Based on Dynamic Representation Learning of Internet of Vehicles104
Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review103
DMA-Net: DeepLab With Multi-Scale Attention for Pavement Crack Segmentation102
Fuzzy Inference Enabled Deep Reinforcement Learning-Based Traffic Light Control for Intelligent Transportation System101
Explanations in Autonomous Driving: A Survey100
A Short-Term Traffic Flow Prediction Model Based on an Improved Gate Recurrent Unit Neural Network98
Blockchain-Based Adaptive Trust Management in Internet of Vehicles Using Smart Contract98
Blockchain-Based Lightweight and Secured V2V Communication in the Internet of Vehicles97
Disparity-Based Multiscale Fusion Network for Transportation Detection96
A Survey on Resource Allocation in Vehicular Networks95
Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation95
Topological Graph Convolutional Network-Based Urban Traffic Flow and Density Prediction94
Learning Dynamic and Hierarchical Traffic Spatiotemporal Features With Transformer94
Privacy-Preserved Federated Learning for Autonomous Driving93
Hybrid Trajectory Planning for Autonomous Driving in On-Road Dynamic Scenarios93
Volunteer Assisted Collaborative Offloading and Resource Allocation in Vehicular Edge Computing93
Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks93
An Intelligent Video Analysis Method for Abnormal Event Detection in Intelligent Transportation Systems92
Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving92
A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances92
A Review of Vision-Based Traffic Semantic Understanding in ITSs91
Interactive Trajectory Prediction of Surrounding Road Users for Autonomous Driving Using Structural-LSTM Network91
Solving the Security Problem of Intelligent Transportation System With Deep Learning90
Collaborative Intrusion Detection for VANETs: A Deep Learning-Based Distributed SDN Approach90
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation With Transformers90
Urban Traffic Control in Software Defined Internet of Things via a Multi-Agent Deep Reinforcement Learning Approach89
Using Reinforcement Learning With Partial Vehicle Detection for Intelligent Traffic Signal Control89
A New Quadratic Spacing Policy and Adaptive Fault-Tolerant Platooning With Actuator Saturation89
GAN-Based Day-to-Night Image Style Transfer for Nighttime Vehicle Detection89
AI Empowered Communication Systems for Intelligent Transportation Systems88
A3C-Based Intelligent Event-Triggering Control of Networked Nonlinear Unmanned Marine Vehicles Subject to Hybrid Attacks88
CrackW-Net: A Novel Pavement Crack Image Segmentation Convolutional Neural Network88
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles87
A Novel Spatio-Temporal Synchronization Method of Roadside Asynchronous MMW Radar-Camera for Sensor Fusion87
Cooperative Lane Changing Strategies to Improve Traffic Operation and Safety Nearby Freeway Off-Ramps in a Connected and Automated Vehicles Environment87
Vehicle Selection and Resource Optimization for Federated Learning in Vehicular Edge Computing87
Mobility Aware Blockchain Enabled Offloading and Scheduling in Vehicular Fog Cloud Computing87
RadChat: Spectrum Sharing for Automotive Radar Interference Mitigation87
Mobility Based Trust Evaluation for Heterogeneous Electric Vehicles Network in Smart Cities87
A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles86
Detection of Collision-Prone Vehicle Behavior at Intersections Using Siamese Interaction LSTM86
Internet of Vehicles: Key Technologies, Network Model, Solutions and Challenges With Future Aspects86
Traffic Flow Prediction Based on Deep Learning in Internet of Vehicles85
Intelligent Task Offloading for Heterogeneous V2X Communications85
Secure and Efficient Data Sharing Among Vehicles Based on Consortium Blockchain85
Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes85
Reliable Path Planning for Drone Delivery Using a Stochastic Time-Dependent Public Transportation Network84
Trust-Aware Service Offloading for Video Surveillance in Edge Computing Enabled Internet of Vehicles84
HDMA: Hybrid D2D Message Authentication Scheme for 5G-Enabled VANETs84
Controllability Analysis and Optimal Control of Mixed Traffic Flow With Human-Driven and Autonomous Vehicles84
Pedestrian Trajectory Prediction Based on Deep Convolutional LSTM Network84
Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving84
Dynamic Driving Risk Potential Field Model Under the Connected and Automated Vehicles Environment and Its Application in Car-Following Modeling83
A Survey of Deep RL and IL for Autonomous Driving Policy Learning83
Effective Charging Planning Based on Deep Reinforcement Learning for Electric Vehicles83
Joint Communication and Trajectory Optimization for Multi-UAV Enabled Mobile Internet of Vehicles83
TrafficGAN: Network-Scale Deep Traffic Prediction With Generative Adversarial Nets82
A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem82
Deep Learning for Security in Digital Twins of Cooperative Intelligent Transportation Systems82
Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups82
A Systematic Literature Review About the Impact of Artificial Intelligence on Autonomous Vehicle Safety82
Operating Electric Vehicle Fleet for Ride-Hailing Services With Reinforcement Learning81
Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach81
Spatio-Temporal Feature Encoding for Traffic Accident Detection in VANET Environment81
UAV-Assisted Content Delivery in Intelligent Transportation Systems-Joint Trajectory Planning and Cache Management81
AI-Empowered Speed Extraction via Port-Like Videos for Vehicular Trajectory Analysis81
Vehicle Assisted Computing Offloading for Unmanned Aerial Vehicles in Smart City81
Diversified Technologies in Internet of Vehicles Under Intelligent Edge Computing80
Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction80
An Anonymous Batch Authentication and Key Exchange Protocols for 6G Enabled VANETs80
Driving Behavior Modeling Using Naturalistic Human Driving Data With Inverse Reinforcement Learning80
Realizing Constant Current and Constant Voltage Outputs and Input Zero Phase Angle of Wireless Power Transfer Systems With Minimum Component Counts79
Fuzzy Observer-Based Transitional Path-Tracking Control for Autonomous Vehicles79
Forecasting Transportation Network Speed Using Deep Capsule Networks With Nested LSTM Models78
Comparing the Effects of Visual Distraction in a High-Fidelity Driving Simulator and on a Real Highway77
On-Ramp Merging Strategies of Connected and Automated Vehicles Considering Communication Delay77
Personal Mobility in Metaverse With Autonomous Vehicles Using Q-Rung Orthopair Fuzzy Sets Based OPA-RAFSI Model77
Multi-Objective Optimization for Resource Allocation in Vehicular Cloud Computing Networks77
ReViewNet: A Fast and Resource Optimized Network for Enabling Safe Autonomous Driving in Hazy Weather Conditions77
A Deep Learning-Based Mobile Crowdsensing Scheme by Predicting Vehicle Mobility76
Secure Service Offloading for Internet of Vehicles in SDN-Enabled Mobile Edge Computing76
The Revisiting Problem in Simultaneous Localization and Mapping: A Survey on Visual Loop Closure Detection76
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting76
Blockchain-Based Trust Management Model for Location Privacy Preserving in VANET76
Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors75
Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics75
Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles75
Autonomous Driving on Curvy Roads Without Reliance on Frenet Frame: A Cartesian-Based Trajectory Planning Method75
QoE-Based Task Offloading With Deep Reinforcement Learning in Edge-Enabled Internet of Vehicles74
A Survey of Battery Swapping Stations for Electric Vehicles: Operation Modes and Decision Scenarios74
Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior74
Hybrid Inductive-Power-Transfer Battery Chargers for Electric Vehicle Onboard Charging With Configurable Charging Profile74
C2FDA: Coarse-to-Fine Domain Adaptation for Traffic Object Detection74
Vehicle Position Correction: A Vehicular Blockchain Networks-Based GPS Error Sharing Framework74
Computation Offloading and Resource Allocation in MEC-Enabled Integrated Aerial-Terrestrial Vehicular Networks: A Reinforcement Learning Approach73
Human-Factors-in-Driving-Loop: Driver Identification and Verification via a Deep Learning Approach using Psychological Behavioral Data73
Autonomous Vehicle: Security by Design73
UAV-Assisted Physical Layer Security in Multi-Beam Satellite-Enabled Vehicle Communications73
Blockchain and Learning-Based Secure and Intelligent Task Offloading for Vehicular Fog Computing73
Multi-Scale Point-Wise Convolutional Neural Networks for 3D Object Segmentation From LiDAR Point Clouds in Large-Scale Environments73
Road Damage Detection Based on Unsupervised Disparity Map Segmentation73
A Robust Attentional Framework for License Plate Recognition in the Wild72
Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction72
Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems71
DADA: Driver Attention Prediction in Driving Accident Scenarios70
Asynchronous Deep Reinforcement Learning for Collaborative Task Computing and On-Demand Resource Allocation in Vehicular Edge Computing70
A Hybrid of Deep Reinforcement Learning and Local Search for the Vehicle Routing Problems70
Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation69
Automatic Detection and Counting System for Pavement Cracks Based on PCGAN and YOLO-MF69
Towards Rear-End Collision Avoidance: Adaptive Beaconing for Connected Vehicles69
A Privacy-Preserving-Based Secure Framework Using Blockchain-Enabled Deep-Learning in Cooperative Intelligent Transport System68
OCV-SOC-Temperature Relationship Construction and State of Charge Estimation for a Series– Parallel Lithium-Ion Battery Pack68
Big Data Analysis Technology for Electric Vehicle Networks in Smart Cities68
A Multi-Objective Ant Colony System Algorithm for Airline Crew Rostering Problem With Fairness and Satisfaction68
A Probabilistic Approach for Cooperative Computation Offloading in MEC-Assisted Vehicular Networks68
Model Predictive Control for Connected Vehicle Platoon Under Switching Communication Topology68
Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections68
Edge Intelligence Empowered Vehicle Detection and Image Segmentation for Autonomous Vehicles67
Energy-Efficient Resource Allocation for 6G Backscatter-Enabled NOMA IoV Networks67
Perceptual Enhancement for Autonomous Vehicles: Restoring Visually Degraded Images for Context Prediction via Adversarial Training67
Connected Automated Vehicle Platoon Control With Input Saturation and Variable Time Headway Strategy67
OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association67
Railway Traffic Object Detection Using Differential Feature Fusion Convolution Neural Network67
Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-Identification67
3D Multi-Object Tracking in Point Clouds Based on Prediction Confidence-Guided Data Association66
Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving66
6G-Enabled Network in Box for Internet of Connected Vehicles66
PPO2: Location Privacy-Oriented Task Offloading to Edge Computing Using Reinforcement Learning for Intelligent Autonomous Transport Systems66
Risk Assessment of an Electrical Power System Considering the Influence of Traffic Congestion on a Hypothetical Scenario of Electrified Transportation System in New York State66
Towards a Transitional Weather Scene Recognition Approach for Autonomous Vehicles66
A Flow Feedback Traffic Prediction Based on Visual Quantified Features66
What Happens for a ToF LiDAR in Fog?66
Integrated Schedule and Trajectory Optimization for Connected Automated Vehicles in a Conflict Zone65
A Hybrid Approach to Trust Node Assessment and Management for VANETs Cooperative Data Communication: Historical Interaction Perspective65
Robust Distributed Cruise Control of Multiple High-Speed Trains Based on Disturbance Observer65
Pedestrian Motion Trajectory Prediction in Intelligent Driving from Far Shot First-Person Perspective Video65
Optimization-Based Trajectory Planning for Autonomous Parking With Irregularly Placed Obstacles: A Lightweight Iterative Framework64
Investigating the Prospect of Leveraging Blockchain and Machine Learning to Secure Vehicular Networks: A Survey64
MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation64
Cooperative Decision Making of Connected Automated Vehicles at Multi-Lane Merging Zone: A Coalitional Game Approach64
Exploring Individual Travel Patterns Across Private Car Trajectory Data64
Global-PBNet: A Novel Point Cloud Registration for Autonomous Driving64
Transportation 5.0: The DAO to Safe, Secure, and Sustainable Intelligent Transportation Systems63
Estimate the Pitch and Heading Mounting Angles of the IMU for Land Vehicular GNSS/INS Integrated System63
Machine Learning-Based Workload Orchestrator for Vehicular Edge Computing63
Event-Triggered H Load Frequency Control for Multi-Area Nonlinear Power Systems Based on Non-Fragile Proportional Integral Control Strategy63
Robust Set-Invariance Based Fuzzy Output Tracking Control for Vehicle Autonomous Driving Under Uncertain Lateral Forces and Steering Constraints63
Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach63
Driving Behavior Analysis Guidelines for Intelligent Transportation Systems63
BERT-Based Deep Spatial-Temporal Network for Taxi Demand Prediction62
A Multi-Stream Feature Fusion Approach for Traffic Prediction62
Efficient COLREG-Compliant Collision Avoidance in Multi-Ship Encounter Situations61
Bidding Strategies in Energy and Reserve Markets for an Aggregator of Multiple EV Fast Charging Stations With Battery Storage61
Research on Road Environmental Sense Method of Intelligent Vehicle Based on Tracking Check61
Preview Path Tracking Control With Delay Compensation for Autonomous Vehicles61
Toward Offloading Internet of Vehicles Applications in 5G Networks61
Approach for Short-Term Traffic Flow Prediction Based on Empirical Mode Decomposition and Combination Model Fusion61
ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics60
The Drone Scheduling Problem: A Systematic State-of-the-Art Review60
Delegating Authentication to Edge: A Decentralized Authentication Architecture for Vehicular Networks60
Improving Smart Charging Prioritization by Predicting Electric Vehicle Departure Time60
Joint Task Offloading and Resource Allocation for Vehicular Edge Computing Based on V2I and V2V Modes60
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