Please use this identifier to cite or link to this item: https://doi.org/10.1155/2018/2524838
Title: Flexible Emergency Vehicle Network Design considering Stochastic Demands and Inverse-Direction Lanes
Authors: Wang, H. 
Xiao, L.
Chen, Z.
Issue Date: 2018
Publisher: Hindawi Limited
Citation: Wang, H., Xiao, L., Chen, Z. (2018). Flexible Emergency Vehicle Network Design considering Stochastic Demands and Inverse-Direction Lanes. Journal of Advanced Transportation 2018 : 2524838. ScholarBank@NUS Repository. https://doi.org/10.1155/2018/2524838
Rights: Attribution 4.0 International
Abstract: 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. © 2018 Hua Wang et al.
Source Title: Journal of Advanced Transportation
URI: https://scholarbank.nus.edu.sg/handle/10635/210133
ISSN: 0197-6729
DOI: 10.1155/2018/2524838
Rights: Attribution 4.0 International
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