Results 51 to 60 of about 8,325 (185)

Towards Generalisable and Explainable Traffic Signal Control via Deep Reinforcement Learning and Large Language Models

CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 483-497, April 2026.
ABSTRACT As a government‐regulated public service, traffic signal control (TSC) requires reliable and transparent decision‐making. However, existing deep reinforcement learning (DRL) methods, despite improvements in control accuracy, still lack explainability and generalisation, severely limiting their applicability in real‐world environments.
Hao Huang, Wenjie He, Qilie Liu, Qian Liu, Chao Huang, Anwar P. P. Abdul Majeed, Xiangguang Dai, Gang Fang, Xiaohua Xu   +8 more
wiley   +1 more source

A Comprehensive Study and Analysis of the Third Generation Partnership Project’s 5G New Radio for Vehicle-to-Everything Communication

Future Internet
Recently, the Third Generation Partnership Project (3GPP) introduced new radio (NR) technology for vehicle-to-everything (V2X) communication to enable delay-sensitive and bandwidth-hungry applications in vehicular communication.
G. G. Md. Nawaz Ali, Mohammad Nazmus Sadat, Md Suruz Miah, Sameer Ahmed Sharief, Yun Wang   +4 more
doaj   +1 more source

Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage

, 2019
Radio resources in vehicle-to-vehicle (V2V) communication can be scheduled either by a centralized scheduler residing in the network (e.g., a base station in case of cellular systems) or a distributed scheduler, where the resources are autonomously ...
Boban, Mate, Khalili, Ramin, Wolisz, Adam, Şahin, Taylan   +3 more
core   +1 more source

Understanding the Autonomous Electric Vehicle Cyber Threat Landscape: A Focus on Infrastructure, Threats and Ontology‐Based Modelling

Energy Internet, Volume 3, Issue 1, Page 39-51, April 2026.
ABSTRACT The development of autonomous electric vehicles (AEVs) represents the convergence of two simultaneous automotive revolutions: electric vehicles (EVs) and autonomous vehicles (AVs). AVs require sensors, decision‐making systems and actuation systems to achieve autonomous driving, whereas EVs require intelligent management and real‐time ...
Ohud Alsadi, Abdulrahman Almijlad, Trinadh Pamulapati, Rajiv Ranjan, Devki Jha, Tejal Shah   +5 more
wiley   +1 more source

Energy-Efficient Resource Allocation for D2D-V2V Communication with Load Balancing

Mathematics, 2023
The significance of vehicle-to everything (V2X) communication in ensuring road safety is undeniable. In addition, real-time vehicle communication requires an ample amount of spectrum resources.
Jie Bi, Xizhong Qin, Zhenhong Jia
doaj   +1 more source

A Two-Stage Allocation Scheme for Delay-Sensitive Services in Dense Vehicular Networks

, 2017
Driven by the rapid development of wireless communication system, more and more vehicular services can be efficiently supported via vehicle-to-everything (V2X) communications.
Lei, Lei, Yang, Haojun, Zhao, Long, Zheng, Kan   +3 more
core   +1 more source

RSU‐Assisted Resource Map Sharing to Enhance Reliability in 5G NR V2X Mode 2

Electronics Letters, Volume 62, Issue 1, January/December 2026.
Wireless blind spots (WBS) cause persistent collisions in 5G new radio vehicle‐to‐everything Mode 2 sensing‐based semi‐persistent scheduling due to hidden terminals and half‐duplex sensing. We propose roadside unit‐assisted resource map sharing service (RMSS) that shares an occupancy bitmap via PC5 or bitmap+RC via Uu for delay‐compensated ...
Seung‐Jae Yu, Cheol Mun
wiley   +1 more source

Semantic Vehicle-to-Everything (V2X) Communications Towards 6G

CoRR
Semantic Communication (SEM-COM) has emerged as one of the disruptive technologies facilitating the evolution towards sixth-generation (6G) wireless networks. This article presents the potential of SEM-COM to transform Vehicle-to-Everything (V2X) communications, with a particular emphasis on its ability to enhance communication efficiency and ...
Tengfei Lyu, Md. Noor-A-Rahim, Aisling O'Driscoll, Dirk Pesch   +3 more
openaire   +2 more sources

Vehicle-to-Everything (V2X) Datasets for Machine Learning-Based Predictive Quality of Service

IEEE Communications Magazine, 2023
Abstract We present two datasets for Machine Learning (ML)-based Predictive Quality of Service (PQoS) comprising Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) radio channel measurements. As V2V and V2I are both indispensable elements for providing connectivity in Intelligent Transport Systems (ITS), we argue that a combination of the two
Skocaj, Marco, Di Cicco, Nicola, Zugno, Tommaso, Boban, Mate, Blumenstein, Jiri, Prokes, Ales, Mikulasek, Tomas, Vychodil, Josef, Mikhaylov, Konstantin, Tornatore, Massimo, Degli-Esposti, Vittorio   +10 more
openaire   +4 more sources

LIMA: Local and Lightweight Mutual Authentication for VANETs

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This work presents LIMA, a lightweight local authentication protocol for VANETs. It is a SAE J2735 compliant certificateless vehicle authentication that eliminates traditional PKI dependencies while providing geographic zone‐based security and time‐based attribute control.
Munkenyi Mukhandi, Muhammad Hassan Khan, Fernando Alves   +2 more
wiley   +1 more source