摘要
乘务夜早任务连乘是我国城市轨道交通(以下简为"城轨")乘务普遍采用的轮转策略。编制良好的乘务夜早任务搭配方案可保证乘务员工作的均衡性和安全性。根据城轨乘务夜早任务连乘需求,建立了相应的最优分配模型(NMC模型),设计了夜早连乘任务综合费用函数,并结合传统的匈牙利算法对NMC模型进行了求解。以某地铁线路为例,进行了算例分析。结果表明,NMC模型所编制的夜早连乘方案能够满足现场需求,可提高乘务夜早任务搭配的效率。
The early and late tasks pairing rotation strategy is widely adopted by urban rail transit crew in China.A good composition of the early and late tasks pairing scheme can ensure the balance and security of attendants work.Based on the demands of early and late tasks pairing tasks,an optimal allocation model（NMC）is established and a cost function of early and late tasks pairing rotation is designed combined with the traditional Hungarian algorithm to solve the NMC model.A numerical example of a certain rail transit line is analyzed,and the result indicates that the scheme complied by model could meet the field demands and improve the efficiency of the tasks.
出处
《城市轨道交通研究》
北大核心
2016年第7期30-34,共5页
Urban Mass Transit
基金
中国博士后科学基金项目(2014M551454)
国家自然科学基金项目(71271153)
关键词
城市轨道交通
乘务计划编制
夜早任务搭配
最优分配
urban rail transit
crew schedule plan
early and late tasks pairing
optimal allocation
