1. Energy Optimal Real-Time Navigation
System
Abstract-The rapid development of Mobile Internet and Smart Devices and advent of a new
generation of Intelligent Transportation Systems (ITS) increase information about present driving
conditions and make its prediction possible. Real time traffic information systems (TIS) like
SYTADIN help in route to destination planning and traffic state prediction. Energy-optimal routing for
electric vehicles creates novel algorithmic challenges where the computation complexity and the
quality of information on traffic state are the main issues. This complexity is induced by the possible
negative values of edge energy as well as the variability of route and vehicle variables which render
the standard algorithms unsuitable. In this paper we present an Energy Optimal Real Time
Navigation System (EORTNS), implemented on Samsung Galaxy Tab, capable of calculating the
route to destination based on information flow obtained from SYTADIN. As an application example
we propose a real time energy management for a Hybrid Electrical Vehicle (HEV) composed of
batteries and Super-Capacitors (SC). The EORTNS is not only capable of energy optimal route to
destination calculation with respect to traffic state but also operates the On-Board power splitting
between batteries and Super-Capacitors.
Author(s)
Cela, A.
Computer Science and Telecommunication, UPE, ESIEE Paris, Noisy-Le-Grand, 93162, FRANCE
Jurik, T. ; Hamouche, R. ; Natowicz, R. ; Reama, A. ; Niculescu, S. ; Julien, J.
Published in:
Intelligent Transportation Systems Magazine, IEEE (Volume:6 , Issue: 3 )
Date of Publication:
Fall 2014
ISSN :
1939-1390
DOI:
10.1109/MITS.2014.2324000
Date of Current Version :
21 July 2014
Issue Date :
Fall 2014
Sponsored by :
IEEE Intelligent Transportation Systems Council
Publisher:

2. IEEE