The Application of Crisscross Optimization Algorithm to Dynamic Traffic Assignment Problem

Jingying Wang, Jianhua Qu
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Abstract

Obtaining the optimal travel time on dynamic traffic assignment(DTA) is very important for intelligent traffic system (ITS). A lot of approaches have been applied for DTA to make the travel time costing least, but current algorithms cannot be solved to guarantee optimality. In this paper, a method based on crisscross optimization algorithm(CSO) is introduced to solve DTA problem. This novel algorithm adopts a double-crisscross search mechanism. It differs from algorithms given in introduction. It uses crisscross programming to enhance performance. This paper aims at time-varying flows in dynamic system optimal model and using CSO algorithm to solve it. At last, we obtain traffic flow distribution data by designing a numerical example and employing simulation. We realized this algorithm converges to the optimal final solution.
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交叉优化算法在动态交通分配问题中的应用
动态交通分配(DTA)中最优出行时间的获取对于智能交通系统(ITS)非常重要。为了使行车时间花费最少,已有很多方法被应用于DTA,但目前的算法无法保证最优性。本文提出了一种基于交叉优化算法(CSO)的DTA问题求解方法。该算法采用双交叉搜索机制。它与导论中给出的算法不同。它使用交叉编程来提高性能。本文针对动态系统中时变流的最优模型,并利用CSO算法求解该模型。最后,通过设计数值算例并进行仿真,得到交通流分布数据。实现了该算法收敛于最终最优解。
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