基于双层模型的票价信息智能优化算法仿真

Simulation of Intelligent Optimization Algorithm for Ticket Price Information Based on Bilayer Model

提出一种基于双层模型的票价智能优化算法。其中:上层模型为运营效益的描述函数,通过票价调整策略实现效益的最大化:下层模型为乘客出行路径的描述函数,通过参数优化实现出行成本最小化:通过对票价调整和客流分配的反复迭代,模型输出结果收敛至最优定价值。仿真结果表明,该模型能够有效反应出票价对客流分配和收益的影响关系。

An intelligent optimization algorithm of ticket price based on bilayer model is proposed.Among the model,the upper model is the description function of operation benefit which maximizes the benefit through fare adjustment strategy,and the lower model is the description function of passenger travel path which minimizes the travel cost through parameter optimization.Through repeated iterations of fare adjustment and passenger flow distribution,the output of the model converges to the optimal fixed value.The simulation results show that the model can effectively reflect the impact of fare on passenger flow distribution and revenue.