Research on railway rescheduling model based on blocking time under temporary speed restriction scenes
Li Xuan1, Meng Lingyun1, Wang Yihui2, Long Sihui2
1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044; 2. State Key Laboratory of Rail Traffic Control and Safety (Beijing Jiaotong University), Beijing 100044
Abstract：When the disaster monitoring system issues early warning and alarm information, how to implement the temporary speed restriction (TSR) and take emergency measures accurately, quickly and effectively to ensure the safe, stable and efficient operation under TSR is a key problem to be solved urgently. In this paper, we study the railway rescheduling problem under the TSR scenario. Based on the calculation theory of the blocking time and the early warning information of the disaster monitoring system, we construct rescheduling optimization model with object of the shortest total delay time of the trains in the network. This model ensures the safe and stable operation of the train under the TSR scenario by calculating the time of the train occupying each block section refinedly and introducing the speed limit constraint on the basis of the rescheduling model, thereby assisting the dispatcher's rescheduling work and improving the emergency response capability. Finally, a numerical example of Tieling West to the Fuyu North is designed and verified accuracy of the rescheduling model.
李璇, 孟令云, 王义惠, 龙思慧. 临时限速场景下基于轨道区段锁闭时间的铁路调度模型研究[J]. 电气技术, 2019, 20(ZK1): 17-23.
Li Xuan, Meng Lingyun, Wang Yihui, Long Sihui. Research on railway rescheduling model based on blocking time under temporary speed restriction scenes. Electrical Engineering, 2019, 20(ZK1): 17-23.
[1] Acuña-Agost R.Mathematical modeling and methods for rescheduling trains under disrupted operations[J]. Avignon, 2009. [2] 孟学雷. 突发事件条件下列车运行组织理论与方法研究[D]. 北京: 北京交通大学, 2011. [3] Yang Lixing, Zhou Xuesong, Gao Ziyou.Rescheduling trains with scenario-based fuzzy recovery time representation on two-way double-track railways[J]. Soft Computing, 2013, 17(4): 605-616. [4] 杜渺. 高速铁路自然灾害影响分析与列车运行调整方法研究[D]. 北京: 北京交通大学, 2015. [5] Xu Peijuan, Corman F, Peng Qiyuan, et al.A timetable rescheduling approach and transition phases for high- speed railway traffic during disruptions[J]. Trans- portation Research Record: Journal of the Trans- portation Research Board, 2017, 2607: 82-92. [6] Sama M, D'ariano A, Pacciarelli D, et al. Ant colony optimization for train routing selection: operational vs tactical application[C]//2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2017: 297-302. [7] 雷艳红. 大风预警下的高速铁路列车运行调整研究[D]. 成都: 西南交通大学, 2018. [8] Meng L, Luan X, Zhou X.A train dispatching model under a stochastic environment: stable train routing constraints and reformulation[J]. Networks & Spatial Economics, 2016, 16(3): 791-820. [9] Wang Li, Mo Wenting, Qin Yong, et al.Optimization based high-speed railway train rescheduling with speed restriction[J]. Discrete Dynamics in Nature and Society, 2014(2): 1-14. [10] Wang Y, Liu R, Kwan RSK.Simultaneous rerouting and rescheduling on rail networks under weather impact[C]//Proceedings of the Transportation Research Board (TRB) 97th Annual Meeting, 2018. [11] Quaglietta E, Pellegrini P, Goverde R M P, et al. The on-time real-time railway traffic management frame- work: a proof-of-concept using a scalable standardised data communication architecture[J]. Transportation Research Part C: Emerging Technologies, 2016, 63: 23-50. [12] D'Ariano A, Pranzo M, Hansen I A. Conflict resolution and train speed coordination for solving real-time timetable perturbations[J]. IEEE Transa- ctions on Intelligent Transportation Systems, 2007, 8(2): 208-222.
2019, Vol. 20 
