Results 51 to 60 of about 1,567 (167)
LIMA: Local and Lightweight Mutual Authentication for VANETs
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 +2 more
wiley +1 more source
As autonomous driving may be the most important application scenario of the next generation, the development of wireless access technologies enabling reliable and low-latency vehicle communication becomes crucial.
Shulin Song +4 more
doaj +1 more source
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
Evolution of vehicle to everything(V2X) communication in the railway sector [PDF]
Currently, there are few technical tools or even newer communication tech-nology that allows us to communicate between rail vehicles and road-bound ve-hicles. This communication is very important as the automation of vehicles is advancing here as well.
Wille, Christian, Grünhäuser, Miriam
openaire +1 more source
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
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
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
Simulation-Based Evaluation of V2X System with Variable Computational Infrastructure
The issue of organizing efficient interaction between vehicle-to-everything (V2X) system elements has become increasingly critical in recent years. Utilizing V2X technology enables achieving the necessary balance of safety, reducing system load, and ...
Andrei Vladyko +2 more
doaj +1 more source
Real-Vehicle Electromagnetic Compatibility Evaluation of V2X Communication Equipment [PDF]
This paper presents a real-vehicle electromagnetic compatibility (EMC) evaluation method for dual-mode vehicle-to-everything (V2X) systems supporting WAVE and LTE-V2X. Unlike conventional EMC tests that are limited to assessing regulatory compliance, the
Seung-Kyu Choi, Ju-Won Lee, Jong-Ho Kim
doaj +1 more source
Security Challenges and Solutions in Self‐Driving Vehicles: A Comprehensive Review
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 +2 more
wiley +1 more source

