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通过分析机动车和自行车在城市道路平交口处的动态行为特性,建立了平交口混合交通流微观行为模型,提出了基于Multi-Agent的平交口混合交通流动态并行模拟算法,构造了机动车和自行车的Agent类函数,通过计算机仿真再现了平交口混合交通流的动态行为特性。实测数据和仿真分析结果验证了所建模型是正确的。该研究成果解决了传统仿真技术不能协同模拟多种混合交通流动态行为特性的难题,同时为解决我国城市道路平交口的交通干扰和拥堵问题提供了一种新的模拟分析方法。
By analyzing the dynamic behaviors of vehicles and bicycles at the intersection of urban roads, a micro-behavioral model of cross-flow mixed traffic flow was established and a parallel parallel algorithm based on Multi-Agent for mixed traffic flow was proposed. The Agent class functions of bicycles are used to reproduce the dynamic behaviors of the mixed traffic flow at Pingjiao mouth by computer simulation. The measured data and simulation results verify that the model is correct. The research results solve the traditional simulation technology can not simulate a variety of mixed traffic flow dynamic behavior characteristics of the problem, and to solve the traffic jam and congestion problems of the intersection of urban roads in our country provide a new simulation method.