Name
Abstract | ||
|---|---|---|
An optimal train schedule enables the railway system to serve maximal passengers with limited resources. However, inappropriate train services may cause a diversity of adverse impacts such as service delay and long waiting times. This study aims to improve train service with a new schedule compared to the existing train schedule. To develop an alternative train service with a schedule solution, a mixed integer linear programming model is developed. A comparison between the existing train service and an alternative service is conducted based on a subset railway network in New South Wales, Australia. Numerical results proved that the alternative train service outperforms the existing one with regard to delay time and train capacity. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/CSCWD54268.2022.9776050 | 2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD) |
Keywords | DocType | ISBN |
Train scheduling,Timetable,Rescheduling,Mixed integer linear programming,GTFS | Conference | 978-1-6654-0763-2 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kevin Malysiak | 1 | 0 | 0.34 |
| Fenghui Ren | 2 | 0 | 1.01 |
| Hao Hu | 3 | 0 | 0.34 |
| Bo Du | 4 | 1662 | 130.01 |