【摘要】 交通方式的各属性对旅客的出行效用都有不同程度的影响,并且它们之间存在着复杂的非线性关系,难以确定具体的解析表达式。在综合分析运输体系中多种交通运输方式及出行者交通选择行为的基础上,将BP神经网络理论和随机理论应用于城市间多种运输方式的客流量分配问题,从而构造出相应的数学分析模型,实例验证该模型具有良好的可行性和有效性。更多还原

【Abstract】 Each attribute of traffic has some effect on the travellers′ avail in different degrees,and there is a complicated nonlinear relation between them,which is hard to be expressed in material analytic expression. Under the condition of multi-mode passenger transportations and passengers′ choice behaviors in comprehensive transportation system,the theory of BP neural network and the stochastic theory are applied to the problem of passenger flow-split between cities,and the corresponding mathematical analysis model is also constructed. The feasibility and validity of proposed model are proved by a practical example.更多还原