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The Energy-Efficient Dynamic Route Planning for Electric Vehicles
Joint Authors
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-26
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Aiming to provide an approach for finding energy-efficient routes in dynamic and stochastic transportation networks for electric vehicles, this paper addresses the route planning problem in dynamic transportation network where the link travel times are assumed to be random variables to minimize total energy consumption and travel time.
The changeable signals are introduced to establish state-space-time network to describe the realistic dynamic traffic network and also used to adjust the travel time according to the signal information (signal cycle, green time, and red time).
By adjusting the travel time, the electric vehicle can achieve a nonstop driving mode during the traveling.
Further, the nonstop driving mode could avoid frequent acceleration and deceleration at the signal intersections so as to reduce the energy consumption.
Therefore, the dynamically adjusted travel time can save the energy and eliminate the waiting time.
A multiobjective 0-1 integer programming model is formulated to find the optimal routes.
Two methods are presented to transform the multiobjective optimization problem into a single objective problem.
To verify the validity of the model, a specific simulation is conducted on a test network.
The results indicate that the shortest travel time and the energy consumption of the planning route can be significantly reduced, demonstrating the effectiveness of the proposed approaches.
American Psychological Association (APA)
Zhou, Wenjuan& Wang, Li. 2019. The Energy-Efficient Dynamic Route Planning for Electric Vehicles. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1169698
Modern Language Association (MLA)
Zhou, Wenjuan& Wang, Li. The Energy-Efficient Dynamic Route Planning for Electric Vehicles. Journal of Advanced Transportation No. 2019 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-1169698
American Medical Association (AMA)
Zhou, Wenjuan& Wang, Li. The Energy-Efficient Dynamic Route Planning for Electric Vehicles. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1169698
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169698