Results 61 to 70 of about 8,325 (185)
Downlink Performance of Optical Power Domain NOMA for Beyond 5G Enabled V2X Networks
IEEE Open Journal of Vehicular Technology, 2021 In this work, we explore the potential benefits and practical challenges associated with implementation of optical power domain non-orthogonal multiple access (OPD-NOMA) scheme for visible light communications (VLC) based vehicle-to-everything (V2X ...
Gurinder Singh +3 more
doaj +1 more source
Tree-based Intelligent Intrusion Detection System in Internet of Vehicles
, 2019 The use of autonomous vehicles (AVs) is a promising technology in Intelligent Transportation Systems (ITSs) to improve safety and driving efficiency. Vehicle-to-everything (V2X) technology enables communication among vehicles and other infrastructures ...
Hamieh, Ismail +3 more
core +1 more source
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 +2 more
wiley +1 more source
IEEE Open Journal of Vehicular Technology, 2021 The technical exploration of safe automated driving has evolved from single vehicle intelligence to vehicular networking. Therefore, to a certain extent, the safety requirements have been translated into the requirements for network performance. Although
Zongdian Li +4 more
doaj +1 more source
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
Internet of Vehicles Based On Cellular-Vehicle-To-Everything (C-V2X)
International Journal of Integrated Engineering, 2023 In line with the development of automotive and traffic systems, high mobility and density in different road topologies cause scalability and delay issues due to frequent disconnection between communication nodes. From a safety aspect, Cellular-V2X (C-V2X) wireless technology was introduced by the Third Generation Partnership Project Organization (3GPP)
Nor Fadzilah Abdullah +3 more
openaire +1 more source
Spectrum Resourse Management Method of V2X based on Deep Reinforcement Learning
Guangtongxin yanjiu, 2023 Aiming at the problem of spectrum scarcity faced by Vehicle to Everything (V2X) communication, a deep reinforcement learning method is proposed to manage V2X spectrum resources.
WU Ming-hu, JIN Bo, ZHAO Nan, WANG Ru
doaj
Performance Analysis of Unsupervised LTE Device-to-Device (D2D) Communication
, 2018 Cellular network technology based device-to-device communication attracts increasing attention for use cases such as the control of autonomous vehicles on the ground and in the air.
Eckermann, Fabian +2 more
core +1 more source
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.This study proposes an enhanced vehicle tracking method that fuses GPS/INS data with RSSI signals in a connected vehicle environment to overcome the limitations of embedded sensors during abrupt manoeuvres. By employing an interacting multiple model algorithm that combines linear and non‐linear estimators, the method improves trajectory estimation and ...
Fan Zhang, Jiang Song, Pan Liu
wiley +1 more source
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.This paper introduces a deep reinforcement learning based framework that helps improve safety in avoiding collisions. The framework is developed through five clear phases and tested using the Udacity Self‐Driving Car Dataset. The results show that it can make autonomous driving safer and more reliable in changing road conditions.
Abuzar Khan +5 more
wiley +1 more source