標題: An integrated multi-objective model to determine the optimal rescue path and traffic controlled arcs for disaster relief operations under uncertainty environments
作者: Chiou, Yu-Chiun
Lai, Yu-Hsuan
運輸與物流管理系
註:原交通所+運管所

Department of Transportation and Logistics Management
關鍵字: Chi-Chi earthquake;disaster relief operations;fuzzy access reliability;genetic algorithms;shortest path algorithm
公開日期: 1-Jan-2008
摘要: This study proposes an integrated multi-objective model to determine the optimal rescue path and traffic controlled arcs for disaster relief operations under uncertainty environments. The model consists of three sub-models: rescue shortest path model, post-disaster traffic assignment model, and traffic controlled arcs selection model to minimize four objectives: travel time of rescue path, total detour travel time, number of unconnected trips of non-victims, and number of police officers required. Since these sub-models are inter-related with each other, they are solved simultaneously. This study employs genetic algorithms incorporated with traffic assignment and K-shortest path methods to determine optimal rescue path and controlled arcs. To cope with uncertain information associated with the damaged network, fuzzy system reliability theory (weakest t-norm method) is used to measure the access reliability of rescue path. To investigate the validity and applicability of the proposed model, studies on an exemplified case and a field case of Chi-Chi earthquake in Taiwan are conducted. The performances of three rescue strategies: without traffic control, selective traffic control (i.e. the proposed model) and absolute traffic control are compared. The results show that the proposed model can maintain the efficiency of rescue activity with minimal impact to ordinary trips and number of police officers required.
URI: http://dx.doi.org/10.1002/atr.5670420405
http://hdl.handle.net/11536/9835
ISSN: 0197-6729
DOI: 10.1002/atr.5670420405
期刊: JOURNAL OF ADVANCED TRANSPORTATION
Volume: 42
Issue: 4
起始頁: 493
結束頁: 519
Appears in Collections:Articles


Files in This Item:

  1. 3efdc9c92ffdad89c5a9d076f103e463.pdf

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.