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Evaluating the Applicability of Advanced Techniques for Practical Real-time Train Scheduling
| Content Provider | Semantic Scholar |
|---|---|
| Author | D'Ariano, Andrea Sama, Marcella D'Ariano, Paolo Pacciarelli, Dario |
| Copyright Year | 2014 |
| Abstract | Abstract This paper reports on the practical applicability of published techniques for real-time train scheduling. The final goal is the development of an advanced decision support system for supporting dispatchers’ work and for guiding them toward near-optimal real-time re-timing, re-ordering and re-routing decisions. The paper focuses on the optimization system AGLIBRARY that manages trains at the microscopic level of block sections and block signals and at a precision of seconds. The system outcome is a detailed conflict-free train schedule, being able to avoid deadlocks and to minimize train delays. Experiments on a British railway nearby London demonstrate that AGLIBRARY can quickly compute near-optimal solutions. |
| Starting Page | 279 |
| Ending Page | 288 |
| Page Count | 10 |
| File Format | PDF HTM / HTML |
| DOI | 10.1016/j.trpro.2014.10.007 |
| Volume Number | 3 |
| Alternate Webpage(s) | https://core.ac.uk/download/pdf/82712217.pdf |
| Alternate Webpage(s) | https://doi.org/10.1016/j.trpro.2014.10.007 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
