Identification of Railway Transport Systems using stochastic P-timed Petri nets model
| Autor: | Kamel Ben Othmen, Dimitri Lefebvre, Anis M'halla, Mouhaned Gaied |
|---|---|
| Přispěvatelé: | Groupe de Recherche en Electrotechnique et Automatique du Havre (GREAH), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Schedule Computer science Event (computing) Distributed computing [SPI.NRJ]Engineering Sciences [physics]/Electric power 02 engineering and technology Petri net Time factor Identification (information) 020901 industrial engineering & automation Critical parameter 11. Sustainability 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Train Analysis tools ComputingMilieux_MISCELLANEOUS |
| Zdroj: | 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT) 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), Apr 2019, Paris, France. pp.1090-1095, ⟨10.1109/CoDIT.2019.8820468⟩ CoDIT |
| DOI: | 10.1109/CoDIT.2019.8820468⟩ |
| Popis: | The Railway transportation networks can be considered as discrete event systems with time constraints. The time factor is a critical parameter, since it includes dates and schedules to be respected in order to avoid overlaps, delays and collisions between trains. Petri nets have been recognized as powerful modelling and analysis tools for discrete event systems with time constraints. So, they are suitable for railway transportation systems. This article is devoted to the modelling and identification of the Tunisian Railway Network. The proposed approach consists in identifying, from experimental measurements, the dynamical behavior of the system by using interpreted Stochastic P-timed Petri Nets (SP-TPNs). The resulting model is suitable to simulate the traffic and also to evaluate the influence of different types of disturbances on the expected schedule. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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