The invention belongs to the technical field of traffic flow control, and particularly relates to a heuristic traffic flow optimization method based on a particle swarm optimization algorithm, and the method comprises the steps: 1, traffic flow modeling; and step 2, particle swarm optimization optimization simulation is carried out. According to the method, by simulating bird flock foraging behaviors, an optimization method of a vehicle flow in a traffic network is abstracted into particles, and an optimal traffic flow solution distribution scheme is searched in a multi-dimensional search space, so that dynamic optimization of the traffic flow is realized.
本发明属于交通流控制技术领域,具体涉及一种基于粒子群算法的启发式交通流优化方法,所述方法包括:步骤1:交通流建模;步骤2:粒子群算法优化仿真。所述方法通过模拟鸟群觅食行为,将交通网络中车辆流的优化方法抽象为粒子,在多维搜索空间中寻找最优的交通流解决分配方案,以实现交通流的动态优化。
Heuristic traffic flow optimization method based on particle swarm optimization
一种基于粒子群算法的启发式交通流优化方法
09.05.2025
Patent
Elektronische Ressource
Chinesisch
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