http://www.cnr.it/ontology/cnr/individuo/prodotto/ID195587
A Dynamic Simulation Model of a Flexible Transport Services for People in Congested Area (Contributo in atti di convegno)
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- A Dynamic Simulation Model of a Flexible Transport Services for People in Congested Area (Contributo in atti di convegno) (literal)
- Anno
- 2012-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/j.sbspro.2012.09.755 (literal)
- Alternative label
Pasquale Carotenuto, Daniele Monacelli, Giuseppe Raponi, Marco Turco (2012)
A Dynamic Simulation Model of a Flexible Transport Services for People in Congested Area
in EWGT2012 - 15th Meeting of the EURO Working Group on Transportation, September 2012, Paris, Paris, 10-13 september 2012
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- Pasquale Carotenuto, Daniele Monacelli, Giuseppe Raponi, Marco Turco (literal)
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- http://www.sciencedirect.com/science/article/pii/S1877042812042176 (literal)
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- Proceedings of EWGT2012 - 15th Meeting of the EURO Working Group on Transportation, September 2012, Paris (literal)
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- Istituto per le Applicazioni del Calcolo \"M. Picone\", Consiglio Nazionale delle Ricerche, via dei Taurini 19, Roma 00185, Italy
Università degli studi di Roma \"Tor Vergata\", via del Politecnico 1, Roma 00133, Italy (literal)
- Titolo
- A Dynamic Simulation Model of a Flexible Transport Services for People in Congested Area (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autoriVolume
- Vincent Aguiléra, Neila Bhouri, Nadir Farhi, Fabien Leurent and Régine Seidowsky (literal)
- Abstract
- The realization of innovative transport services, require increasingly greater flexibility and inexpensiveness of the service. In many cases the solution is to realize a demand responsive transportation system, in which there are two main goals: minimize costs and maximize flexibility. In this work, we address a Demand Responsive Transport System capable of managing incoming transport demand using a solution based on an insertion heuristics to solve an On-Line dynamic DaRP instance. The solutions provided by the heuristics are simulated dynamically in a discrete events environment in which it is possible to reproduce the movement of the vehicles, the passengers' arrival to the stops, the delays due to the traffic congestion and possible anomalies in the behavior of the passengers. Finally, at the end of the simulation, a set of performance indicators summarize the solution planned by the heuristics. (literal)
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