Name
Abstract | ||
|---|---|---|
•GPS and IC card data are used to simulate the time-dependent travel time and passenger demand.•An improved passenger selection model is proposed by introducing a preference coefficient.•A working hours constraint is first formulated in bus timetabling problem.•The model is transformed into an integer linear program, followed by a model contraction approach.•A two-stage solution method is proposed for large-scale bus timetabling problems. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.ins.2020.03.108 | Information Sciences |
Keywords | DocType | Volume |
Bus timetable optimization,Big data,Passenger selection model,Working hours constraint | Journal | 536 |
ISSN | Citations | PageRank |
0020-0255 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongguang Ma | 1 | 1 | 2.04 |
| Xiang Li | 2 | 390 | 30.35 |
| Haitao Yu | 3 | 2 | 1.71 |