Timetable design for urban rail line with capacity constraints
type: Item
instance of: scholarly article
title: Timetable design for urban rail line with capacity constraints
zbMATH Open document ID: 1418.90128
DOI: 10.1155/2015/429219
author: Yu-Ting Zhu
author: Bao-Hua Mao
author: Lu Liu
author: Ming-Gao Li
published in: Discrete Dynamics in Nature and Society
publication date: 2019-02-19T00:00:00Z
review text: Summary: To design an efficient and economical timetable for a heavily congested urban rail corridor, a scheduling model is proposed in this paper. The objective of the proposed model is to find the departure time of trains at the start terminal to minimize the system cost, which includes passenger waiting cost and operating cost. To evaluate the performance of the timetable, a simulation model is developed to simulate the detailed movements of passengers and trains with strict constraints of station and train capacities. It assumes that passengers who arrive early will have more chances to access a station and board a train. The accessing and boarding processes of passengers are all based on a first-come-first-serve basis. When a station is full, passengers unable to access must wait outside until the number of waiting passengers at platform falls below a given value. When a train is full, passengers unable to board must wait at the platform for the next train to arrive. Then, based on the simulation results, a two-stage genetic algorithm is introduced to find the best timetable. Finally, a numerical example is given to demonstrate the effectiveness of the proposed model and solution method.
Mathematics Subject Classification ID: 90B35
zbMATH DE Number: 7025358
Wikidata QID: Q59105900
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/429219
OpenAlex ID: W1481938519
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description: scientific article; zbMATH DE number 7025358