reliable rescue routing optimization for urban emergency logistics under travel time uncertainty
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ID: 200892
2018
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Abstract
The reliability of rescue routes is critical for urban emergency logistics during disasters. However, studies on reliable rescue routing under stochastic networks are still rare. This paper proposes a multiobjective rescue routing model for urban emergency logistics under travel time reliability. A hybrid metaheuristic integrating ant colony optimization (ACO) and tabu search (TS) was designed to solve the model. An experiment optimizing rescue routing plans under a real urban storm event, was carried out to validate the proposed model. The experimental results showed how our approach can improve rescue efficiency with high travel time reliability.
| Reference Key |
li2018isprsreliable
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|---|---|
| Authors | ;Qiuping Li;Wei Tu;Li Zhuo |
| Journal | población y desarrollo |
| Year | 2018 |
| DOI |
10.3390/ijgi7020077
|
| URL | |
| Keywords | Keywords not found |
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