Title
Simulation-assisted exploration of charging infrastructure requirements for electric vehicles in urban environments
Abstract
High population densities in today's cities are leading to increasing congestion and air pollution. Sustainable cities of the future will require a large scale transition to electro-mobility. The development of electric vehicle charging infrastructure is necessary to enable this transition. Existing methods for determining charging infrastructure take an optimization approach that ignores existing traffic demands and infrastructure. Moreover, the dynamics of vehicle movement like stop-and-go traffic, congestion and the effect of traffic lights are not considered in determining energy consumption. In this paper, we propose a novel nanoscopic city-scale traffic simulation based method for determining charging infrastructure locations; subsequently, we demonstrate its usefulness in spatio-temporal planning through a case-study of Singapore. Through this method, existing traffic and road network data and the dynamics of individual vehicle movement can be taken into consideration in planning. (c) 2015 Elsevier B.V. All rights reserved.
Year
DOI
Venue
2016
10.1016/j.jocs.2015.10.012
Journal of Computational Science
Keywords
Field
DocType
68T42,68U20
Mathematical optimization,Electric vehicle,Computer science,Simulation,Transport engineering,Traffic simulation,Network data,Air pollution,Energy consumption
Journal
Volume
ISSN
Citations 
12
1877-7503
8
PageRank 
References 
Authors
0.73
5
6
Name
Order
Citations
PageRank
Vaisagh Viswanathan1214.61
Daniel Zehe2516.28
Ivanchev, J.3103.81
Dominik Pelzer4252.48
Alois Knoll Knoll51700271.32
Heiko Aydt614315.89