The invention provides a diagonalization PARTAN method for a novel mixed traffic flow network equalization model, and the method comprises the steps: determining the actual road traffic capacity of a road network based on a Markov chain, and enabling vehicles in the road network to comprise an intelligent connected vehicle (CAV) and a human-driven vehicle (HDV); and a diagonalization method based on a PARTAN algorithm determines the road section flow of the CAV and the road section flow of the HDV according to the actual road traffic capacity of the road network. According to the method, a computer is used for simulating the Markov chain when the CAV and the HDV are mixed, the calculation formula for calculating the actual traffic capacity of the road is obtained, the HDV and the CAV in the road network are alternately iterated by designing the diagonalization method based on the PARTAN algorithm, the road network is made to rapidly reach the equilibrium state, and the method is simple, high in calculation efficiency and high in applicability.
本发明提供一种新型混合交通流网络均衡模型的对角化PARTAN方法,该方法包括:基于马尔科夫链确定路网的道路实际通行能力,所述路网中的车辆包括智能网联汽车CAV和人类驾驶汽车HDV;基于PARTAN算法的对角化方法根据所述路网的道路实际通行能力,确定所述CAV的路段流量和所述HDV的路段流量。本发明使用计算机仿真在CAV和HDV混行时的马尔科夫链,得到计算道路实际通行能力的计算公式,通过设计基于PARTAN算法的对角化方法对路网中的HDV和CAV交替迭代,使路网快速达到均衡状态,方法简单,计算效率高,适用性强。
Diagonal PARTAN method of novel mixed traffic flow network equalization model
新型混合交通流网络均衡模型的对角化PARTAN方法
02.07.2024
Patent
Elektronische Ressource
Chinesisch
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