Considering the elastic demand, the fare and the frequency in the transit network are simultaneously optimized. The fare structureand frequency have effects on passengers' demand and choice of travel routes, which are described as a bi-level programming problem. The upper-level problem is the maximization of social welfare, ard the lower-level problem concerns passengers' choice behavior. We develop developed as a stochastic user equilibrium assignment model with elastic demand. For the non-convexity of bi-level problem, a simulated annealing algorithm is applied to solve the problem. The model and the algorithm are illustrated in a numerical example.%对具有弹性需求的城市公交网络系统进行了票价结构与发车频率组合的优化.考虑到公交定价和发车频率会影响乘客需求以及乘客对路径的选择行为,将这一问题描述为一个双层规划问题,上层是寻求社会福利最大的优化问题；下层考虑了乘客的出行选择行为,为弹性需求下乘客在城市公交网络上流量分布的随机用户平衡分配模型.鉴于双层规划问题的非凸性,运用模拟退火算法对模型进行求解,并给出一个仿真算例说明提出的模型和算法的合理性.
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