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作者机构:TUM CREATE 1 CREATE Way10-02 CREATE Tower Singapore 138602 Singapore Tech Univ Munich Inst Informat Robot & Embedded Syst D-80290 Munich Germany
出 版 物:《JOURNAL OF COMPUTATIONAL SCIENCE》 (计算科学杂志)
年 卷 期:2016年第12卷
页 面:1-10页
核心收录:
学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:Traffic simulation Charging station placement Agent based modelling Nanoscopic simulation Data driven computing
摘 要: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.