Disaster victim evacuation is one of the most urgent disaster relief efforts in saving lives after a disaster strikes a populated area. In urban areas, candidate routes to take for evacuation are basically determined based on static hazard maps depending on the types of disasters (e.g., routes which are not in areas at risk of landslide disaster in case of a flood, or tsunami or liquefaction in case of an earthquake). However, when a large-scale disaster occurs, unpredictable simultaneous road closures on a road network may be caused by various factors such as broken roads, traffic accidents, building collapse and outage of traffic lights by electricity failure. Since it takes time to repair roads and required resources for repairing activities are usually limited, it is necessary to determine a plan to sequence roads repairs. The plan on repairing damaged roads affects decisively how quickly and reliably evacuation is completed. To determine the optimal plan, we use stochastic time Petri nets to sequence one road repair after another for multiple evacuation origin-destination pairs with different speeds on different routes.

Road repair sequencing for disaster victim evacuation / Tadano, Kumiko; Maeno, Yoshiharu; Carnevali, Laura. - ELETTRONICO. - 528:(2017), pp. 401-412. (Intervento presentato al convegno 11th Conference of the European Social Simulation Association, ESSA 2015 nel 2015) [10.1007/978-3-319-47253-9_37].

Road repair sequencing for disaster victim evacuation

CARNEVALI, LAURA
2017

Abstract

Disaster victim evacuation is one of the most urgent disaster relief efforts in saving lives after a disaster strikes a populated area. In urban areas, candidate routes to take for evacuation are basically determined based on static hazard maps depending on the types of disasters (e.g., routes which are not in areas at risk of landslide disaster in case of a flood, or tsunami or liquefaction in case of an earthquake). However, when a large-scale disaster occurs, unpredictable simultaneous road closures on a road network may be caused by various factors such as broken roads, traffic accidents, building collapse and outage of traffic lights by electricity failure. Since it takes time to repair roads and required resources for repairing activities are usually limited, it is necessary to determine a plan to sequence roads repairs. The plan on repairing damaged roads affects decisively how quickly and reliably evacuation is completed. To determine the optimal plan, we use stochastic time Petri nets to sequence one road repair after another for multiple evacuation origin-destination pairs with different speeds on different routes.
2017
Advances in Intelligent Systems and Computing
11th Conference of the European Social Simulation Association, ESSA 2015
2015
Tadano, Kumiko; Maeno, Yoshiharu; Carnevali, Laura
File in questo prodotto:
File Dimensione Formato  
15_TMC_SSC15.pdf

Accesso chiuso

Descrizione: Articolo
Tipologia: Altro
Licenza: Tutti i diritti riservati
Dimensione 587.66 kB
Formato Adobe PDF
587.66 kB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1089904
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 3
social impact