关键词: 城市交通, 应急疏散, 网络优化模型, 消除交叉冲突, 路径选择, 遗传算法

Abstract:

Aimed at the problem of evacuation delay at intersections under emergency, this paper constructs the two-layer optimization model for evacuation network based on crossing conflict elimination. The model takes a shortest total evacuation time as the objective to set the turning movement of each lane in the toplevel, and the route is allocated based on the Stochastic User Equilibrium principle in the lower- level. A combined algorithm with the genetic algorithm and MSA is designed to solve the model to realize the integrated optimization of evacuation traffic organization and route planning. Based on a simple experiment, this paper verifies the convergence and validity of the model, the calculation result of the experiment shows that the proposed model can solve the evacuation network optimization problem with crossing conflict elimination, and the algorithm designed in this paper has a fast convergence rate, while based on the actual case, it shows that by prohibiting parts of turning directions at intersection to eliminate crossing conflicts, the rest turning directions traffic flow could be uninterrupted, thus the evacuation efficiency could be improved.

Key words: urban traffic, emergency evacuation, network optimization model, crossing conflict elimination, route allocation, genetic algorithm