Demand-driven integrated train timetabling and rolling stock scheduling on urban rail transit line

This paper aims to simultaneously optimise train timetabling and rolling stock scheduling in a bidirectional urban rail transit line. A novel variable train composition strategy is adopted to respond to time-dependent passenger demand by allowing modular train units to split and couple with each oth...

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Published inTransportmetrica (Abingdon, Oxfordshire, UK) Vol. 20; no. 3
Main Authors Zhuo, Siyu, Miao, Jianrui, Meng, Lingyun, Yang, Liya, Shang, Pan
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 01.09.2024
Taylor & Francis Ltd
Subjects
Composition
Modular units
oversaturated passenger demand
Passengers
Rolling stock
rolling stock scheduling
Scheduling
Time dependence
timetabling
Travel demand
Urban rail
Urban rail transit
variable train compositions
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Abstract This paper aims to simultaneously optimise train timetabling and rolling stock scheduling in a bidirectional urban rail transit line. A novel variable train composition strategy is adopted to respond to time-dependent passenger demand by allowing modular train units to split and couple with each other at depots. We mathematically model this problem in an arrival time revision framework, simplifying the problem structure and rendering the model solved by a commercial solver. In particular, the proposed model considers two realistic first-in-first-out rules to capture passenger transportation accurately in the oversaturated urban rail transit system. The efficiency of the proposed strategy and model is validated on an illustrative example and a real-world instance in the Yizhuang Line of Beijing Subway. Results show that adopting the variable train composition strategy can save 63.6% and 44.6% of total passenger waiting time compared to the current fixed train composition strategy with eight and six units.
AbstractList This paper aims to simultaneously optimise train timetabling and rolling stock scheduling in a bidirectional urban rail transit line. A novel variable train composition strategy is adopted to respond to time-dependent passenger demand by allowing modular train units to split and couple with each other at depots. We mathematically model this problem in an arrival time revision framework, simplifying the problem structure and rendering the model solved by a commercial solver. In particular, the proposed model considers two realistic first-in-first-out rules to capture passenger transportation accurately in the oversaturated urban rail transit system. The efficiency of the proposed strategy and model is validated on an illustrative example and a real-world instance in the Yizhuang Line of Beijing Subway. Results show that adopting the variable train composition strategy can save 63.6% and 44.6% of total passenger waiting time compared to the current fixed train composition strategy with eight and six units.
Author Meng, Lingyun
Zhuo, Siyu
Miao, Jianrui
Yang, Liya
Shang, Pan
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Snippet This paper aims to simultaneously optimise train timetabling and rolling stock scheduling in a bidirectional urban rail transit line. A novel variable train...
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SubjectTerms Composition
Modular units
oversaturated passenger demand
Passengers
Rolling stock
rolling stock scheduling
Scheduling
Time dependence
timetabling
Travel demand
Urban rail
Urban rail transit
variable train compositions
Title Demand-driven integrated train timetabling and rolling stock scheduling on urban rail transit line
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