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URN: urn:nbn:de:0030-drops-27216
URL: http://drops.dagstuhl.de/opus/volltexte/2010/2721/
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Shekhar, Shashi ; George, Betsy ; Lu, Qingsong

Capacity Constrained Routing Algorithms for Evacuation Route Planning

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Abstract

Efficient tools are needed to identify routes and schedules to evacuate affected populations to safety in face of natural disasters or terrorist attacks. Challenges arise due to violation of key assumptions (e.g. stationary ranking of alternative routes, Wardrop equilibrium) behind popular shortest path algorithms (e.g. Dijktra's, A*) and microscopic traffic simulators (e.g. DYNASMART). Time-expanded graphs (TEG) based mathematical programming paradigm does not scale up to large urban scenarios due to excessive duplication of transportation network across time-points. We present a new approach, namely Capacity Constrained Route Planner (CCRP), advancing ideas such as Time-Aggregated Graph (TAG) and an ATST function to provide earliest-Arrival-Time given any Start-Time. Laboratory experiments and field use in Twincities for DHS scenarios (e.g. Nuclear power plant, terrorism) show that CCRP is much faster than the state of the art. A key Transportation Science insight suggests that walking the first mile, when appropriate, may speed-up evacuation by a factor of 2 to 3 for many scenarios. Geographic Information Science (e.g. Time Geography) contributions include a novel representation (e.g. TAG) for spatio-temporal networks. Computer Science contributions include graph theory limitations (e.g. non-stationary ranking of routes, non-FIFO behavior) and scalable algorithms for traditional routing problems in time-varying networks, as well as new problems such as identifying the best start-time (for a given arrival-time deadline) to minimize travel-time.

BibTeX - Entry

@InProceedings{shekhar_et_al:DSP:2010:2721,
  author =	{Shashi Shekhar and Betsy George and Qingsong Lu},
  title =	{Capacity Constrained Routing Algorithms for Evacuation Route Planning},
  booktitle =	{Computational Transportation Science},
  year =	{2010},
  editor =	{Glenn Geers and Monika Sester and Stephan Winter and Ouri E. Wolfson},
  number =	{10121},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2010/2721},
  annote =	{Keywords: Evacuation, routes, spatio-temporal networks}
}

Keywords: Evacuation, routes, spatio-temporal networks
Seminar: 10121 - Computational Transportation Science
Issue Date: 2010
Date of publication: 06.08.2010


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