In order to apply overbooking idea in Chinese railway freight industry to improve revenue, a Markov decision process(dynamic programming) model for railway freight reservation was formulated and the overbooking limit ...In order to apply overbooking idea in Chinese railway freight industry to improve revenue, a Markov decision process(dynamic programming) model for railway freight reservation was formulated and the overbooking limit level was proposed as a control policy. However, computing the dynamic programming treatment needs six nested loops and this will be burdensome for real-world problems. To break through the calculation limit, the properties of value function were analyzed and the overbooking protection level was proposed to reduce the calculating quantity. The simulation experiments show that the overbooking protection level for the lower-fare class is higher than that for the higher-fare class, so the overbooking strategy is nested by fare class. Besides, by analyzing the influence on the overbooking strategy of freight arrival probability and cancellation probability, the proposed approach is efficient and also has a good application prospect in reality. Also, compared with the existing reservation(FCFS), the overbooking strategy performs better in the fields of vacancy reduction and revenue improvement.展开更多
为精确刻画匝道合流区客货混行条件下的车辆微观换道行为,本文以量化客货交互为切入点,构建并验证考虑货车影响的微观换道模型。首先,引入“压迫”概念,构建改进Morse势函数模型描述周边货车行驶对小汽车横纵驾驶行为产生的“压迫”影响...为精确刻画匝道合流区客货混行条件下的车辆微观换道行为,本文以量化客货交互为切入点,构建并验证考虑货车影响的微观换道模型。首先,引入“压迫”概念,构建改进Morse势函数模型描述周边货车行驶对小汽车横纵驾驶行为产生的“压迫”影响;随后,分析小汽车换道过程中的横纵向“压迫”变化,提出一种考虑货车“压迫”影响的车辆换道决策模型(Modified Morse-Based Lane-Changing model,MMBLC);最后,基于实测轨迹数据进行数值仿真,验证模型的稳定性与有效性,并进一步利用Python与SUMO(Simulation of Urban Mobility)联合仿真,对比MMBLC模型和现有换道模型在交通流中的表现。结果表明:在稳定性分析中,MMBLC模型对交通流的影响更小,恢复稳定的速度更快;在货车占比30%和交通量3600 veh·h-1的主路3车道客货混行匝道合流区中,MMBLC模型相比LC2013和MOBIL(Model of Optimal Control Based on Interacting Trajectories)模型,换道成功率分别提高11.9%和53.1%,危险场景占比分别降低10.5%和52.8%。展开更多
基金Project(2010QZZD021)supported by the Fundamental Research Funds for the Central Universities,ChinaProject(2015F024)supported by China Railway Science and Technology Research Development Program
文摘In order to apply overbooking idea in Chinese railway freight industry to improve revenue, a Markov decision process(dynamic programming) model for railway freight reservation was formulated and the overbooking limit level was proposed as a control policy. However, computing the dynamic programming treatment needs six nested loops and this will be burdensome for real-world problems. To break through the calculation limit, the properties of value function were analyzed and the overbooking protection level was proposed to reduce the calculating quantity. The simulation experiments show that the overbooking protection level for the lower-fare class is higher than that for the higher-fare class, so the overbooking strategy is nested by fare class. Besides, by analyzing the influence on the overbooking strategy of freight arrival probability and cancellation probability, the proposed approach is efficient and also has a good application prospect in reality. Also, compared with the existing reservation(FCFS), the overbooking strategy performs better in the fields of vacancy reduction and revenue improvement.
文摘为精确刻画匝道合流区客货混行条件下的车辆微观换道行为,本文以量化客货交互为切入点,构建并验证考虑货车影响的微观换道模型。首先,引入“压迫”概念,构建改进Morse势函数模型描述周边货车行驶对小汽车横纵驾驶行为产生的“压迫”影响;随后,分析小汽车换道过程中的横纵向“压迫”变化,提出一种考虑货车“压迫”影响的车辆换道决策模型(Modified Morse-Based Lane-Changing model,MMBLC);最后,基于实测轨迹数据进行数值仿真,验证模型的稳定性与有效性,并进一步利用Python与SUMO(Simulation of Urban Mobility)联合仿真,对比MMBLC模型和现有换道模型在交通流中的表现。结果表明:在稳定性分析中,MMBLC模型对交通流的影响更小,恢复稳定的速度更快;在货车占比30%和交通量3600 veh·h-1的主路3车道客货混行匝道合流区中,MMBLC模型相比LC2013和MOBIL(Model of Optimal Control Based on Interacting Trajectories)模型,换道成功率分别提高11.9%和53.1%,危险场景占比分别降低10.5%和52.8%。
