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轨道交通均衡分配问题研究是轨道交通规划与管理领域的重点。现有的配流模型未考虑车站拥挤导致乘客无法上车的现象,基于此通过建立包括延误时间在内的客流出行阻抗函数,构建了拥挤条件下的城轨均衡配流模型,并针对经典的Frank-Wolfe算法无法给出有效路径解的不足,给出了利用遗传算法求解模型的步骤。最后通过算例验证了模型和算法的有效性。
The research of rail transit equilibrium assignment is the focus of rail transit planning and management. The existing distribution model does not consider the phenomenon that the passengers can not get on the bus due to congestion in the station. Based on this, the urban rail equilibrium equalization and distribution model under crowded conditions is constructed by setting up the travel impedance function of passenger flow including the delay time. According to the classic Frank- Wolfe algorithm can not give the solution of the effective path solution, and gives the steps of using GA to solve the model. Finally, an example is given to verify the effectiveness of the model and the algorithm.