Driving Without Anxiety: A Route Planner Service with Range Prediction for the Electric Vehicles

In modern smart cities, mobility based on Electric Vehicles (EVs) is considered a key factor to reduce carbon emissions and pollution. However, despite the global interest and the investments worldwide, the user acceptance level is still low, mainly due to the lack of charging services support. This is one of the main causes for the so called “EV driver's anxiety”, and has led people to consider EV mobility suitable only for short routes. To contrast this issue, the authors propose here a route planner application supporting EV mobility also on medium and long routes, through prediction of range and charging stops. The authors application estimates the minimal energy consumption path, by also considering the overhead to reach the charging stations along the way towards the destination. The authors demonstrate the optimality of the algorithm and the authors describe its implementation within a Web-application which connects to charging providers' services (to retrieve the locations of charging spots) and to Google services (for routing directions and real-time traffic data). Finally, the authors evaluate the scalability of the authors application, and the authors study its effectiveness in supporting EV routes on large-scale scenarios (e.g. the Emila-Romagna region in Italy) through immersive simulation techniques.

• Record URL:
  https://doi.org/10.1109/ICCVE.2014.7297541
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7284675&punumber%3D7284675%26filter%3DAND%28p_IS_Number%3A7297490%29%26pageNumber%3D2%26rowsPerPage%3D100&pageNumber=3&rowsPerPage=100
• Supplemental Notes:
  • Copyright © 2014, IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Bedogni, Luca
  • Bononi, Luciano
  • D'Elia, Alfredo
  • Di Felice, Marco
  • Di Nicola, Marco
  • Cinotti, Tullio Salmon
• Conference:
  • 2014 International Conference on Connected Vehicles and Expo (ICCVE)
  • Location: Vienna , Austria
  • Date: 2014-11-3 to 2014-11-7
• Publication Date: 2015

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 199-206
• Monograph Title: 2014 International Conference on Connected Vehicles and Expo (ICCVE)

Subject/Index Terms

• TRT Terms: Anxiety; Electric vehicle charging; Electric vehicles; Energy consumption; Pollutants; Real time information; Routes; Traffic data; Vehicle range
• Subject Areas: Energy; Environment; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01617154
• Record Type: Publication
• ISBN: 9781479967308
• Files: TRIS
• Created Date: Nov 21 2016 1:42PM