Intelligent Transportation System for Evacuation RoutingAfter an Earthquake

Evacuation is one of the important activities in disaster management whichusually happens after a disaster. In this research, evacuation is a process oftransferring people from emergency shelters to the regional one for longtimesettlement in post-earthquake situation. Evacuation vehicles transfer people uponthe transportation network which suffers from unpredicted traffic congestionsand blockages in some parts due to the earthquake. In this research, the aim wasto employ the intelligent transportation system (ITS) technologies providing thereal-time information about transportation network condition. By incorporatingthis information, the routing plan can be updated to avoid the vehicles fromunpredicted congestion and blockages. This problem was modeled as a vehiclerouting problem (VRP) and an ant colony optimization algorithm was proposedto solve it. This model was applied to a part of Tehran's network. The resultsshowed that using real-time information for transportation network in caseswhere there were unpredicted blockages in the network, led to the increase of thenumber of evacuated shelters by the average of 42. Also, both the totalevacuation time and the total travel time were decreased by the average of 110and 51 minutes, respectively.

کلیدواژه ها:

Evacuation ، Real-time vehicle routing problem ، Intelligent TransportationSystem ، Ant colony optimization