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contributor authorYi Liu
contributor authorXuesong Feng
contributor authorChuanchen Ding
contributor authorWeixing Hua
contributor authorZejing Ruan
date accessioned2022-01-30T21:23:36Z
date available2022-01-30T21:23:36Z
date issued8/1/2020 12:00:00 AM
identifier otherJTEPBS.0000393.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4268118
description abstractThis study solves the electric transit network design problem (ETNDP) by simultaneously optimizing the layout of bus routes, the service frequency, and the location of charging depots. To ensure the rational design and operational feasibility of an electric transit network, an optimization model of the ETNDP with the constraints of route, depot, operation, and charging is developed in consideration of achieving overall operating cost effectiveness, while guaranteeing adequate operating buses to meet all passenger demands and satisfy the recharging demands of all operating buses without delays or congestion. An improved artificial fish swarm algorithm (AFSA) with the crossover and mutation operators is developed to solve the proposed model. For example, the transit network in an urban region of a city in China is studied in this research. It is confirmed that the optimization model solved by the improved AFSA is able to appropriately provide the optimal solution to the design of a relatively large-scaled electric transit network for its efficient operation.
publisherASCE
titleElectric Transit Network Design by an Improved Artificial Fish-Swarm Algorithm
typeJournal Paper
journal volume146
journal issue8
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.0000393
page10
treeJournal of Transportation Engineering, Part A: Systems:;2020:;Volume ( 146 ):;issue: 008
contenttypeFulltext


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