Multi-Objective Stochastic Synchronous Timetable Optimization Model Based on a Chance-Constrained Programming Method Combined with Augmented Epsilon Constraint Algorithm

The design of the timetable is essential to improve the service quality of the public transport system. A lot of random factors in the actual operation environment will affect the implementation of the synchronous timetable, and adjusting timetables to improve synchronization will break the order of...

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Vydané v:	Mathematical problems in engineering Ročník 2022; s. 1 - 18
Hlavní autori:	Yuan, Yu, Wang, Pengcheng, Wang, Minghui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Hindawi 28.08.2022 John Wiley & Sons, Inc
Predmet:	Algorithms Buses (vehicles) Collaboration Commuting Constraint modelling Engineering Integer programming Linear programming Multiple objective analysis Normal distribution Operating costs Optimization Optimization models Pareto optimization Passengers Planning Public transportation Quality of service Random variables Randomness Scheduling Sensitivity analysis Stochastic programming Synchronism Timetables Transportation services Transportation systems Travel time
ISSN:	1024-123X, 1563-5147
On-line prístup:	Získať plný text
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