Vehicle Relocation Triggering Thresholds Determination in Electric Carsharing System under Stochastic Demand
Joint Authors
Source
Journal of Advanced Transportation
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-29
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Vehicle unbalance usually occurs in multistation electric carsharing systems.
Threshold triggering method is one of the most practicable approaches for vehicle relocation, while determination of thresholds has not been sufficiently studied particularly for electric carsharing system.
This paper presents an approach on determining the thresholds considering the stochastic demands and system states.
Firstly, we establish a state transition model involving the stochastic variables to capture the dynamics of the number and battery status of vehicles as well as the traffic demands.
Consequently, a dual-objective optimization model was developed to determine the proper values of thresholds.
The solution algorithm employed the min–max robust optimization to tackle the uncertainty and the Pareto optimum to decide the solution under dual objectives.
To test the distribution stochastic variables, we involve the orders data and the supplementary user survey.
Comparison is conducted among three methods: the empirical rules, the deterministic method, and the stochastic method, where the results suggest that the stochastic method achieves better solutions on the dual objectives under stochastic demands.
American Psychological Association (APA)
Ma, Wanjing& Wang, Lei& Li, Lin. 2018. Vehicle Relocation Triggering Thresholds Determination in Electric Carsharing System under Stochastic Demand. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1181145
Modern Language Association (MLA)
Ma, Wanjing…[et al.]. Vehicle Relocation Triggering Thresholds Determination in Electric Carsharing System under Stochastic Demand. Journal of Advanced Transportation No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1181145
American Medical Association (AMA)
Ma, Wanjing& Wang, Lei& Li, Lin. Vehicle Relocation Triggering Thresholds Determination in Electric Carsharing System under Stochastic Demand. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1181145
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181145