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Electric Vehicle Automation and Sensing Technology in Intelligent Transportation Systems

This special issue belongs to the section “Vehicular Sensing“.

Special Issue Information

Dear Colleagues,

Toward the vision of smart cities in intelligent transportation systems (ITS), these days industries and municipalities of major cities across the world are paying substantial attention to automating electric vehicles (EV) to meet users’ safety, comfort, and needs. Based on the objectives of different EV applications, such as traffic management, autonomous driving, safety, battery life, and entertainment applications among others, various challenges such as data communications, routing, time and place to charge, etc., have arisen, which necessitate the need for immediate solutions. Addressing such challenges requires intelligent monitoring and management of internet-connected devices (internet-of-things, IoT), especially automating EVs to avoid human errors or reducing continuous human attention and time.

This Special Issue addresses several aspects and challenges in ITSs and proposes smart solutions and algorithms for better performance of intelligent EVs and ITSs. The research topics include (but are not limited to) the following:

  • Data processing, gathering, and transmissions in vehicular networks;
  • Energy and/or time efficient routing and directing of EVs;
  • Traffic management for autonomous EVs;
  • Efficient wireless or stationary charging for better battery life.

Dr. Dariush Ebrahimi
Dr. Fadi Alzhouri
Dr. Thiago E. Alves De Oliveira
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • intelligent transportation systems (ITS)
  • vehicular networks (VANET)
  • wireless data communications
  • internet-of-things (IoT)
  • autonomous driving
  • electric vehicles (EV)
  • wireless and stationary EV charging
  • routing

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Sensors - ISSN 1424-8220