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Flexible Emergency Vehicle Network Design considering Stochastic Demands and Inverse-Direction Lanes
Joint Authors
Chen, Zhang
Xiao, Ling
Wang, Hua
Source
Journal of Advanced Transportation
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-08
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
We study transportation network design with stochastic demands and emergency vehicle (EV) lanes.
Different from previous studies, this paper considers two groups of users, auto and EV travelers, whose road access rights are differentiated in the network, and addresses the value of incorporating inverse-direction lanes in network design.
We formulate the problem as a bilevel optimization model, where the upper-level model aims to determine the optimal design of EV lanes and the lower-level model uses the user equilibrium principle to forecast the route choice of road users.
A simulation-based genetic algorithm is proposed to solve the model.
With numerical experiments, we demonstrate the value of deploying inverse-direction EV lanes and the computational efficiency of the proposed algorithm.
We reach an intriguing finding that both regular and EV lane users can benefit from building EV lanes.
American Psychological Association (APA)
Wang, Hua& Xiao, Ling& Chen, Zhang. 2018. Flexible Emergency Vehicle Network Design considering Stochastic Demands and Inverse-Direction Lanes. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1181058
Modern Language Association (MLA)
Wang, Hua…[et al.]. Flexible Emergency Vehicle Network Design considering Stochastic Demands and Inverse-Direction Lanes. Journal of Advanced Transportation No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1181058
American Medical Association (AMA)
Wang, Hua& Xiao, Ling& Chen, Zhang. Flexible Emergency Vehicle Network Design considering Stochastic Demands and Inverse-Direction Lanes. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1181058
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181058