Last train scheduling for maximizing passenger destination reachability in urban rail transit networks

Yu Zhou, Yun Wang, Hai Yang and Xuedong Yan

Transportation Research Part B: Methodological, 2019, vol. 129, issue C, 79-95

Abstract: As urban rail transit (URT) systems usually do not operate for the whole day, the last train service offers the last daily chance for late-night passengers to utilize URT services to reach their target destination stations. This paper formally introduces and models the destination-reachability based last train timetabling problem (DR-LTTP in abbreviation) in URT networks, which involves both the last train timetabling and the passenger assignment. The DR-LTTP is formulated as a mixed integer linear programming and can be solved by existing commercial optimization software. The model is illustrated with a simple numerical example on a minimum spanning tree network, and comparison experiments are conducted between DR-LTTP model and station-transferability based last train timetabling problem (ST-LTTP in abbreviation). Finally, a real case study with Beijing URT network is conducted to test the performance of our model.

Keywords: Urban rail transit; Last train scheduling; Passenger assignment; Destination reachability; Mixed integer linear programming (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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DOI: 10.1016/j.trb.2019.09.006

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