Latest revision as of 03:12, 23 March 2021

Abstract

There are differences between the requirements for traffic network for traffic demand in daily and emergency situations. In order to evaluate how the network designed for daily needs can meet the surging demand for emergency evacuation, the concept of emergency reliability and corresponding evaluation method is proposed. This paper constructs a bilevel programming model to describe the proposed problem. The upper level problem takes the maximum reserve capacity multiplier as the optimization objective and considers the influence of reversible lane measures taken under emergency conditions. The lower level model adopts the combined traffic distribution/assignment model with capacity limits, to describe evacuees’ path and shelter choice behavior under emergency conditions and take into account the traits of crowded traffic. An iterative optimization method is proposed to solve the upper level model, and the lower level model is transformed into a UE assignment problem with capacity limits over a network of multiple origins and single destination, by adding a dummy node and several dummy links in the network. Then a dynamic penalty function algorithm is used to solve the problem. In the end, numerical studies and results are provided to demonstrate the rationality of the proposed model and feasibility of the proposed solution algorithms.

Document type: Article

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The different versions of the original document can be found in:

• http://downloads.hindawi.com/journals/jat/2019/1370159.pdf under the license https://creativecommons.org/licenses/by

• http://dx.doi.org/10.1155/2019/1370159 under the license cc-by

• http://downloads.hindawi.com/journals/jat/2019/1370159.pdf,

http://downloads.hindawi.com/journals/jat/2019/1370159.xml,

http://dx.doi.org/10.1155/2019/1370159 under the license http://creativecommons.org/licenses/by/4.0

• http://dx.doi.org/10.1155/2019/1370159,

https://doaj.org/toc/0197-6729,

https://doaj.org/toc/2042-3195 under the license http://creativecommons.org/licenses/by/4.0/

• https://www.hindawi.com/journals/jat/2019/1370159,

http://downloads.hindawi.com/journals/jat/2019/1370159.pdf,

https://academic.microsoft.com/#/detail/2921833023