Results 131 to 140 of about 5,735 (213)

A review on optimization of V2V charging services in intelligent transportation environment

物联网学报
In recent years, the electric vehicle (EV) industry has seen vigorous growth. However, deficiencies in charging infrastructure layout, structure and operation have become obstacles to further market expansion.
ZHANG Keyang, LIU Shuohan, CAO Yue, LIN Hai, KANG Jiawen, AI Haojun   +5 more
doaj  

Channel Modeling for Vehicle-to-Vehicle Communications

, 2008
Physical layer channel modeling is critical for design and performance evaluation at multiple layers of the communications protocol stack. In this article we describe and provide results for modeling vehicle-to-vehicle (V2V) wireless channels.
Matolak, David W
core  

Appraisal of Feasibility of Using Vehicle-To-Vehicle Communications for Safe Passage of Unsignalled Road Intersection under Varying Conditions

Improvement of road traffic safety is one of the principal directions in development of intelligent transport systems. Exchange of information about transport vehicle location and movement parameters by means of vehicle-to-vehicle (V2V) communication is ...
Ahrems, Janeks
core  

Dynamic encryption based secure key management for Vehicle-to-Vehicle communication in autonomous driving. [PDF]

Sci Rep
Nsour A, Ganesan S.
europepmc   +1 more source

A performance-optimized V2V task offloading framework for real-time vehicular communication. [PDF]

Sci Rep
Qayyum T, Tariq A, Taleb I, Serhani MA, Trabelsi Z.   +4 more
europepmc   +1 more source

Integrating gamification into a MILP for flexible smart charging of EVs in public parking lots. [PDF]

Sci Rep
de-Larriva-Serrano F, Gil-de-Castro A, Garrido-Zafra J, Gonzalez-Ramos JJ, Moreno-Muñoz A.   +4 more
europepmc   +1 more source

V2VSL: Infrastructure-Free, Decentralized Variable Speed Limit Control. [PDF]

Data Sci Transp
Riehl K, Pusino D, Kouvelas A, Makridis MA.   +3 more
europepmc   +1 more source

Robust service migration for autonomous vehicles leveraging deep learning and cooperative V2V protocols. [PDF]

Sci Rep
Ahmadpanah SH, Sahafi A, Erfani SH.
europepmc   +1 more source

Enhancing V2V Communication by Parsimoniously Leveraging V2N2V Path in Connected Vehicles. [PDF]

Sensors (Basel)
Heo S, Song YS, Kang S, Kim H.
europepmc   +1 more source

Quantum federated learning for autonomous vehicle cybersecurity: An analytical review of architectures and threat landscapes. [PDF]

MethodsX
T S, Devadas RM.
europepmc   +1 more source