Results 61 to 70 of about 1,883 (194)

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

Joint Computation Offloading and URLLC Resource Allocation for Collaborative MEC Assisted Cellular-V2X Networks

IEEE Access, 2020
By leveraging the 5G enabled V2X networks, the vehicles connected by cellular base-stations can support a wide variety of computation-intensive services.
Lei Feng, Wenjing Li, Yingxin Lin, Liang Zhu, Shaoyong Guo, Zerui Zhen   +5 more
doaj   +1 more source

Vehicle-to-Everything (V2X) Evolution From 4G to 5G in 3GPP: Focusing on Resource Allocation Aspects

IEEE Access, 2023
Cellular Vehicle-to-everything (V2X) is evolving from a communication technology for safety messages towards a platform for advanced V2X services such as platooning and autonomous driving.
Cheolkyu Shin, Emad Farag, Hyunseok Ryu, Miao Zhou, Younsun Kim   +4 more
doaj   +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

Multicast and Broadcast Enablers for High-Performing Cellular V2X Systems [PDF]

IEEE Transactions on Broadcasting, 2019
This paper focuses on capabilities enabled by 5G connectivity in the cooperative, connected and autonomous cars, and elaborates on two technical enablers. One of the technical enablers consists of a beamformed broadcast/multicast technology that builds on adaptive and robust beam management techniques at the air interface.
Mikael Fallgren, Taimoor Abbas, Sylvain Allio, Jesus Alonso-Zarate, Gabor Fodor, Laurent Gallo, Apostolos Kousaridas, Yilin Li, Zexian Li, Zhongfeng Li, Jian Luo, Toktam Mahmoodi, Tommy Svensson, Guillaume Vivier   +13 more
openaire   +5 more sources

Artificial Intelligence Applications in Smart Cities: Integrating Communication, Energy Management, Cybersecurity and Internet of Things

The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.
ABSTRACT Smart cities represent transformative urban ecosystems, leveraging advanced technologies to address challenges posed by rapid urbanisation, energy efficiency demands, and sustainability goals. Despite extensive research, a comprehensive and integrated literature analysis combining AI‐based communication, energy management, cybersecurity, and ...
Maaz Tahir Malik, Hafiz Abdul Muqeet, Rizwan Akram, Hafiz Muhammad Obaid, Atiq ur Rehman, Amine Bermak   +5 more
wiley   +1 more source

Development of a Cost‐Effective Data Collection System for Monitoring Urban Traffic Using Automated Intelligent Image Processing and Machine Vision

Advances in Multimedia, Volume 2026, Issue 1, 2026.
This work presents a method for car license plate (LP) detection utilizing machine learning techniques that ensures rapid image processing and high detection accuracy. Three primary contributions distinguish this research. First, we introduce a novel image representation known as the “Integral Image,” which facilitates the rapid computation of features
Enkusilasie Tegegne Alemu, Gizatie Desalegn Taye, Yu-Chen Hu   +2 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

Exploring Research Trends in Mixed Traffic Flow Simulation by Bibliometric Analysis

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
Mixed traffic flows have been explored by scientists for decades, but this research and related review articles are mainly limited to a certain topic or field, and there are relatively few systematic review studies on mixed traffic flow using bibliometric methods.
Zitao Du, Wenbo Yang, Yuna Yin, Hanqing Wang, Yuemin Yang, Bohui Wang   +5 more
wiley   +1 more source