中国城镇化发展迅速,伴随而来的城市交通状况也日益恶化,早日建成现代化的交通运输系统和交通信息管理系统成为了城市交通战略的首要任务。寻找能够正确描述交通流基本规律的交通流算法,更好的指导局部交通的优化管理和控制,是交通流研究的期望目标。基于微观变量和元胞自动机理论提出交通流算法模型。通过对微观交通流算法的设计及数值模拟,从而预测理想的交通流及出行分布情况,加深了对交通流中各种现象内在机理的认识,可以预测出最接近实际情况的交通流,为交通流的仿真和实时交通控制做了基础性的工作。
With rapid development of urbanization in China, traffic condition has become even worsening; therefore, it is the primary task of the urban transport strategy to build up the modern transportation systems and traffic information management system earlier. It is desired aims of traffic flow research to find out the algorithm for traffic flow which could properly represent the fundamental laws of traffic flow so as to better guide the management and control of optimizing local traffic. Based on the theories of micro - variables and cellular automaton , the mod- el of algorithm for traffic flow is put forward, after designing and numerical modeling the algorithm for traffic flow, the ideal traffic flow and trip distribution situation would be predicted in the paper, which deepens the understand- ing of the internal mechanism of traffic flow in various phenomenon and predicts the most close to the actual situa- tion of traffic flow and make fundamental work for traffic flow simulation and real - time traffic control as well.