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- W2973161752 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." @default.
- W2973161752 created "2019-09-19" @default.
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- W2973161752 date "2019-11-01" @default.
- W2973161752 modified "2023-10-18" @default.
- W2973161752 title "Last train scheduling for maximizing passenger destination reachability in urban rail transit networks" @default.
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- W2973161752 doi "https://doi.org/10.1016/j.trb.2019.09.006" @default.
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