基于生物种群模型的智能交通网络控制

摘要

Aimed at the control method for traditional traffic network and by analyzing network constraints and traffic demand, a new traffic control algorithm based on biological population model was proposed for taking dynamic traffic network parameters and improving network performance as objective. Simulation was carried out in the Matlab environment. The result showed that compared with traditional control algorithm, the proposed algorithm could be used to improve the traffic network utilization rate and reduce vehicle delay in the network.%针对传统交通网络控制方法,通过对其约束条件和交通网络需求分析,以动态设置交通网络控制参数和提高交通网络性能为目的,提出一种基于生物种群模型的智能交通控制算法.在Matlab环境下进行仿真,结果表明,与传统交通网络控制方法相比,基于生物种群模型的智能交通控制算法可以显著提高交通网络利用率,减少车辆在网络中的延误时间.