基于城轨乘务值乘规则,建立了城轨乘务任务配对的集合分割模型(R-CP),并结合列生成思想和跟随分支策略设计了求解算法(CGBF算法).实例验证结果表明:该模型与算法能够满足乘务任务配对方案的要求,相对于当前手工编制,具有编制效率高、目标函数更优(即任务数量少、任务工作效率高)等特点.
A set partition model (R-CP) for the crew pairing problem in urban rail transit was proposed based on practical considerations in rail transit operations.A hybrid algorithm of column generation and branch on follow-ons (CGBF) was designed to solve R-Cp.The numerical results show that the proposed model and algorithm can meet requirements of crew pairing and yield better objective values than the existing manual methods.