关键词: 交通运输系统工程, 应急交通控制, 动态交通分配, 交通信号, 并行蚁群算法, 突发灾害

Abstract:

Aiming at the frequently-occurring sudden-onset disasters and insufficient emergency traffic guarantee ability in the world, this paper analyzes the influences of sudden-onset disasters on the urban traffic network and travel behaviors, and proposes a timing optimization model of traffic signals for emergency evacuation in sudden-onset disaster areas. The model, which is based on the dynamic traffic assignment theory and the route choice beha-viors of drivers in sudden-onset disasters, is then optimized by using a parallel ant colony algorithm to accelerate the speed of solving the problem and improve the global convergence ability. Finally, a cluster computing platform is constructed to test the proposed model and algorithm. The results show that the parallel ant colony algorithm helps to obtain better time performance and higher optimization efficiency, thus meeting the real-time demands of on-line decision support for the emergency traffic guarantee system.

Key words: transportation system engineering, emergency traffic control, dynamic traffic assignment, traffic sig-nals, parallel ant colony algorithm, sudden-onset disaster