Flexible Emergency Vehicle Network Design considering Stochastic Demands and Inverse-Direction Lanes

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 inve...

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Main Authors: Hua Wang, Ling Xiao, Zhang Chen
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2018/2524838
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author Hua Wang
Ling Xiao
Zhang Chen
author_facet Hua Wang
Ling Xiao
Zhang Chen
author_sort Hua Wang
collection DOAJ
description 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.
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id doaj-art-829b97c3fb294bc6996a704ab755392f
institution Kabale University
issn 0197-6729
2042-3195
language English
publishDate 2018-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-829b97c3fb294bc6996a704ab755392f2025-02-03T06:13:55ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/25248382524838Flexible Emergency Vehicle Network Design considering Stochastic Demands and Inverse-Direction LanesHua Wang0Ling Xiao1Zhang Chen2School of Economics and Management, Tongji University, Shanghai 200092, ChinaSchool of Economics and Management, Tongji University, Shanghai 200092, ChinaKey Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 200092, ChinaWe 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.http://dx.doi.org/10.1155/2018/2524838
spellingShingle Hua Wang
Ling Xiao
Zhang Chen
Flexible Emergency Vehicle Network Design considering Stochastic Demands and Inverse-Direction Lanes
Journal of Advanced Transportation
title Flexible Emergency Vehicle Network Design considering Stochastic Demands and Inverse-Direction Lanes
title_full Flexible Emergency Vehicle Network Design considering Stochastic Demands and Inverse-Direction Lanes
title_fullStr Flexible Emergency Vehicle Network Design considering Stochastic Demands and Inverse-Direction Lanes
title_full_unstemmed Flexible Emergency Vehicle Network Design considering Stochastic Demands and Inverse-Direction Lanes
title_short Flexible Emergency Vehicle Network Design considering Stochastic Demands and Inverse-Direction Lanes
title_sort flexible emergency vehicle network design considering stochastic demands and inverse direction lanes
url http://dx.doi.org/10.1155/2018/2524838
work_keys_str_mv AT huawang flexibleemergencyvehiclenetworkdesignconsideringstochasticdemandsandinversedirectionlanes
AT lingxiao flexibleemergencyvehiclenetworkdesignconsideringstochasticdemandsandinversedirectionlanes
AT zhangchen flexibleemergencyvehiclenetworkdesignconsideringstochasticdemandsandinversedirectionlanes