The optimization approach for traffic rescue resource dispatch on expressway based on fuzzy programming

Abstract

In order to reveal the uncertainty in the process of rescuing the accidents over the expressway network, fuzzy programming method is used to establish the rescue resource dispatch model. The model aims to minimize the fuzzy dispatch decision-making time to reflect the accidents' influence on the upper traffic flow after accidents happen on the fully-closed expressway. Fuzzy chance constraint is designed to reflect the relationship between the uncertain requirements of potential accidents and the existing resource allocation. According to the limitation of the traditional algorithm and the complexity of dispatch problems, especially many accidents happening simultaneously and various rescue resources required, the genetic algorithm based on fuzzy simulation is designed to be fit for the model and the optimized dispatch scheme is obtained. The case study of the expressway network in Henan Province is conducted to illustrate that the fuzzy dispatch method can be used to solve the conflicts between shortening the decision-making time and reducing the rescuing economic costs compared with the existing rescue mode, and the optimum rescue resource dispatch decision is made for the command control center. © 2010 Springer-Verlag Berlin Heidelberg.