Author:
Zhang Le,Zeng Ziling,Gao Kun
Abstract
Purpose
The purpose of this paper is to optimize the design of charging station deployed at the terminal station for electric transit, with explicit consideration of heterogenous charging modes.
Design/methodology/approach
The authors proposed a bi-level model to optimize the decision-making at both tactical and operational levels simultaneously. Specifically, at the operational level (i.e. lower level), the service schedule and recharging plan of electric buses are optimized under specific design of charging station. The objective of lower-level model is to minimize total daily operational cost. This model is solved by a tailored column generation-based heuristic algorithm. At the tactical level (i.e. upper level), the design of charging station is optimized based upon the results obtained at the lower level. A tabu search algorithm is proposed subsequently to solve the upper-level model.
Findings
This study conducted numerical cases to validate the applicability of the proposed model. Some managerial insights stemmed from numerical case studies are revealed and discussed, which can help transit agencies design charging station scientifically.
Originality/value
The joint consideration of heterogeneous charging modes in charging station would further lower the operational cost of electric transit and speed up the market penetration of battery electric buses.
Publisher
Tsinghua University Press
Subject
Transportation,Mechanical Engineering,Control and Systems Engineering,Automotive Engineering
Reference38 articles.
1. Adler, J.D. (2014), “Routing and scheduling of electric and alternative-fuel vehicles”, Doctoral dissertation, Arizona State University.
2. Battery electric bus infrastructure planning under demand uncertainty;Transportation Research Part C: Emerging Technologies,2020
3. Dynamic headway control for high‐frequency bus line based on speed guidance and intersection signal adjustment;Computer-Aided Civil and Infrastructure Engineering,2020
4. An overview on vehicle scheduling models;Public Transport,2009
5. Public-transport vehicle scheduling with multi vehicle type;Transportation Research Part C: Emerging Technologies,2011
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