Results 51 to 60 of about 803 (171)

Fusing Temporal‐Spectral Features for Interactive Vehicle Trajectory Prediction at Signalised Intersections

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper proposes a hierarchical GAN model for vehicle trajectory prediction at signalised intersections. The model innovatively fuses temporal and spectral trajectory features while explicitly modelling interactions using a multi‐factor attention pooling mechanism that incorporates relative position, velocity and vehicle type.
Zhentao Zhong, Qiaobin Liu, Cong Wang, Ming Gao, Shixian Chen, Weihua Li   +5 more
wiley   +1 more source

An Explicit Reservation-Augmented Resource Allocation Scheme for C-V2X Sidelink Mode 4

IEEE Access, 2020
In the autonomous sidelink resource scheduling for Cellular V2X (C-V2X), the standard sensing-based semi-persistent scheduling (SPS) algorithm relies on several mechanisms such as random resource selection, resource utilization pattern monitoring, and ...
Yongseok Jeon, Hyogon Kim
doaj   +1 more source

A Stochastic Geometry Framework for Enhancing Communication Efficiency and Road Safety in Connected and Autonomous Vehicles

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper introduces a stochastic geometry‐based analytical framework to evaluate and enhance communication reliability and road safety in connected autonomous vehicles (CAVs). By modeling roads using Poisson Line Processes and vehicle distributions with Poisson Point Processes, the framework enables accurate assessment of key performance metrics like
Anjum Mohd Aslam, Aditya Bhardwaj, Xiaochun Cheng   +2 more
wiley   +1 more source

Eco‐Driving and Energy Management for Connected Hybrid Hub Motor Electric Vehicles: A Hierarchical Approach in Multi‐Signalised Traffic Intersections

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
The article addresses the eco‐driving and energy management problem of electric vehicles with hub motors. The proposed strategy aims to minimise energy consumption and allow the vehicle to navigate signalised intersections safely. ABSTRACT The trend of vehicle electrification has led many auto manufacturers to introduce new electric vehicle models in ...
Mohamed Abdullah, Xi Zhang
wiley   +1 more source

Gap Setting Control of ACC‐Equipped Vehicles for Enhancing Traffic Flow: Deep Reinforcement Learning Approach

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
In this paper, we propose a double deep Q network–based strategy that controls the gap settings of connected and automated vehicles (CAVs) to simultaneously improve traffic flow efficiency and stability. Our approach utilises the existing manufacturer‐developed short and long gap settings of adaptive cruise control systems, which have undergone ...
Sungyong Chung, Dongju Ka, Geongyu Min, Chungwon Lee   +3 more
wiley   +1 more source

Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions

IEEE Open Journal of Vehicular Technology
The advent of 6G marks a transformative phase in wireless communication, ushering in a hyperconnected experience. This paper explores optimizing sidelink technologies in Vehicle-to-Everything (V2X) communication through integrating 6G capabilities ...
Annu, P. Rajalakshmi
doaj   +1 more source

An Efficient Cluster Based Resource Management Scheme and its Performance Analysis for V2X Networks

IEEE Access, 2020
As the demand for VANETs data transmission continues to increase, the defined cellular band becomes a bottleneck to meet the demands for all vehicle-to-everything (V2X) users.
Fakhar Abbas, Gang Liu, Pingzhi Fan, Zahid Khan   +3 more
doaj   +1 more source

Security Challenges and Solutions in Self‐Driving Vehicles: A Comprehensive Review

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This article presents a comprehensive review of cybersecurity challenges and solutions in self‐driving vehicles, focusing on threats across vehicular communication, sensors, artificial intelligence (AI) systems, and data privacy. It categorises attacks based on autonomous vehicle architecture layers and highlights advanced countermeasures such as AI ...
Yaw Opoku Mensah Sekyere, Priscilla Ajiboye Oyelandun, Francis Boafo Effah   +2 more
wiley   +1 more source

Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey

IEEE Open Journal of Intelligent Transportation Systems
Cellular Vehicle-to-everything (C-V2X) communication is critical for Intelligent Transportation Systems (ITS), facilitating information exchange among road users and infrastructure.
Chaeriah Bin Ali Wael, El Hadj Dogheche, Nasrullah Armi, Agus Subekti, Iyad Dayoub   +4 more
doaj   +1 more source

Game‐Theoretic Multi‐Agent Dynamic Traffic Assignment Using Congestion‐Aware Adaptive Learning

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper proposes a novel game‐theoretic multi‐agent framework for dynamic traffic assignment problems, integrating congestion‐aware adaptive learning to simultaneously reduce individual travel time and improve overall network efficiency under dynamic congestion.
Dandan Wu, Shiru Qu, Xu He, Hongming Xu, Ji Li   +4 more
wiley   +1 more source