To solve the traffic distribution model was limited to some traffic mode inside and lack of consideration influence between traffic mode choice and traffic distribution, this paper described the multimodal composite urban transportation network. Network covered the buses and cars two subsystem. Total travel quantity was met demand elasticity. And according to two subsystem utility function to a stochastic user equilibrium assignment. The traffic flow split of subsystem route also satisfied stochastic user equilibrium assignment, so that it presented the model of two levels and three stochastic user equilibrium assignment of multimodal composite urban transportation network with elastic demand, it proved the equivalent and uniqueness of model. It provided an iterative algorithm based on diagonalization and MSA for the solution of this model. Finally it gave a simple numeral example. The calculation results are: bus travel quantity is 814. 1 people/hour, 20. 36% of the total amount travel 3997. 8 people/hours, the car travel is 79. 64%. Results indicates that the model in the calculation of the amount of link network flow rate distribution in the foundation also can draw the proportion of the mode of transportation structure.%为解决目前交通分配模型仅限于某种方式内,并缺少考虑方式划分与交通分配相互影响的问题,描述了多方式复合城市交通网络.网络中涵盖了公交车和小汽车两个子系统,出行总量满足弹性需求,并根据两个子系统效用函数进行随机用户平衡分配,同时子系统内各路径流量分配也满足随机用户平衡,从而建立了两层次三随机用户平衡的多方式复合城市交通网络弹性需求随机用户平衡分配模型.证明了模型解的等价性及唯一性；提出了综合对角化算法和MSA算法的组合求解算法.最后,设计了一个算例以验证模型有效性,计算结果为:公交车出行量为814.1人次/h,占总出行量3997.8人次/h的20.36％,小汽车出行量占79.64％.表明该模型在计算网络中各路段流量的同时,也可得出各交通方式的比重.
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