A Comparative Evaluation of Re-scheduling Strategies for Train Dispatching during Disturbances
| Document type: | Conference Papers |
|---|---|
| Peer reviewed: | Yes |
| Full text: | |
| Author(s): | Syed Muhammad Zeeshan Iqbal, Håkan Grahn, Johanna Törnquist Krasemann |
| Title: | A Comparative Evaluation of Re-scheduling Strategies for Train Dispatching during Disturbances |
| Conference name: | 13th Int’l Conf. on Design and Operation in Railway Engineering |
| Year: | 2012 |
| ISBN: | 978-1-84564-616-5 |
| Publisher: | WIT Press |
| City: | New Forest, UK |
| URI/DOI: | 10.2495/CR120481 |
| Organization: | Blekinge Institute of Technology |
| Department: | School of Computing (Sektionen för datavetenskap och kommunikation) School of Computing S-371 79 Karlskrona +46 455 38 50 00 http://www.bth.se/com |
| Authors e-mail: | Muhammad.Zeeshan.Iqbal@bth.se, Hakan.Grahn@bth.se, Johanna.Tornquist@bth.se |
| Language: | English |
| Abstract: | Railway traffic disturbances occur and train dispatchers make re-scheduling decisions in order to reduce the delays. In order to support the dispatchers, good rescheduling strategies are required that could reduce the delays. We propose and evaluate re-scheduling strategies based on: (i) earliest start time, (ii) earliest track release time, (iii) smallest buffer time, and (iv) shortest section runtime. A comparative evaluation is done for a busy part of the Swedish railway network. Our results indicate that strategies based on earliest start time and earliest track release time have the best average performance. |
| Subject: | Computer Science\Computersystems Software Engineering\General Computer Science\Artificial Intelligence |
| Keywords: | Railway traffic, Disturbance management, Optimization |
