A dynamic model for railway freight overbooking 被引量：2

A dynamic model for railway freight overbooking

下载PDF

导出

摘要 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. 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.

作者冯芬玲张佳琪郭晓峰

机构地区 School of Traffic and Transportation Engineering

出处《Journal of Central South University》 SCIE EI CAS CSCD 2015年第8期3257-3264,共8页 中南大学学报（英文版）

基金 Project(2010QZZD021)supported by the Fundamental Research Funds for the Central Universities,China Project(2015F024)supported by China Railway Science and Technology Research Development Program

关键词 revenue management railway freight OVERBOOKING dynamic model 铁路货运动态模型马尔可夫决策过程行业应用动态规划嵌套循环现实世界价值函数

分类号 U294 [交通运输工程—交通运输规划与管理]

引文网络
相关文献

参考文献25

1MCGILL J, VANRYZIN G. Revenue management: Research overview and prospects [J]. Transportation Science, 1999, 33(2): 233 -256.
2KIMES S. Restaurant revenue management: Could it work? [J]. Journal of Revenue & Pricing Management, 2005, 4(1): 95- 97.
3SIERAG D D, KOOLE G M, van der MEI R D, van der REST J I, ZWART B. Revenue management under customer choice behaviour with cancellations arid overbooking [J]. European Journal of Operational Research, 2015, 246:170 -185.
4BHARILL R, RANGARAJ N, Revenue management in railway operations: A study of the Rajdhani express, Indian railways [J]. Transportation Research Part A: Policy and Practice, 2008, 42(9): 1195-1207.
5FENG Fen-ling, LAN Dan. Prediction of railway cargo calrying capacity in China based on system dynamics [J]. Procedia Engineering, 2012, 29:597 -602.
6TSAI Tsung-hsien, LEE Chi-kang, WEI Chien-hung. Neural network based temporal feature models for short-term railway passenger demand forecasting [J]. Expert Systems with Applications, 2009, 36(2, Part 2): 3728 -3736.
7TSAI Tsung-hsien. A self-learning advanced booking model for railway arrival forecasting [J]. Transportation Research Part C: Emerging Technologies, 2014, 39: 80-93.
8KRAFT E. Scheduling railway freight delivery appointments using a bid price approach [J]. Transportation Research Part A: Policy and Practice, 2002, 36(2): 145-165.
9CREVIER B, CORDEAU J, SAVARD G. Integrated operations planning and revenue management for rail freight transportation [J]. Transportation Research Part B: Methodological, 2012, 46(1): 100- 119.
10GOPALAKRISHNAN R, RANGARAJ N. Capacity management on long-distance passenger trains of Indian railways [J]. Interfaces, 2010 40(4): 291-302.