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基于列车运行图优化的动车组周转接续问题的研究
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摘要
动车组周转接续问题是编制动车组运用计划的重要部分,其方案的优劣不仅关系到动车组的运用数量,而且对车站作业计划的质量与可实施性有着重要的影响。在旅客列车运行计划的编制过程中,动车组列车之间的周转接续必须以列车运行图为基础,运行图的编制质量直接影响着动车组列车之间的周转接续方案,由此可见,旅客列车运行计划中的三大问题之间具有密切的联系。从运输组织一体化的思想出发,研究基于运行图优化的动车组周转接续问题具有重要的研究价值和现实意义。
     本文在借鉴国内外已有研究成果的基础上,运用运筹学方法,研究了基于通过式客运站的运行图编制方法以及动车组列车之间的周转接续问题,并以动车组列车之间的周转接续优化为目标对运行图进行了反馈调整,在运行图的编制和反馈调整模型中,初步考虑了车站能力的约束问题。论文主要工作包括以下3个方面:
     1.分析了周期性列车运行图的优点,研究评述了国外基于PESP(周期事件规划问题,Periodic event scheduling problem)的周期性列车运行图的编制模型及存在的问题。基于我国客运专线的特点,建立了适合我国客运专线路情的基于定序的周期性列车运行图的线性规划模型。进一步地,研究了基于通过式客运站的网络化运行图的编制问题,将上述模型拓展到线路双向及路网上,通过考虑进路冲突约束初步考虑了车站咽喉区的能力问题,提出了基于路网的周期运行图的编制流程和方法。
     案例结果表明:以1h为周期的周期性列车运行图在一定程度上减小了运行图铺划问题的规模,运用Lingo软件能快速得到问题的解;基于定序的列车运行图是在列车在各车站的到发顺序已知的情况下建模,因此仅需考虑运行线本身和相邻运行线之间的关系,与基于PESP的模型相比,减少了Lingo建模的工作量。
     2.为了编制基于通过式客运站的动车周转计划,提出了部分环形运转的概念,并基于部分环形运转的动车组运用方式分析了动车组周转接续问题的特点。从使动车组列车之间尽可能多地发生顺向接续的角度考虑,提出时间容忍值σ的概念,构建了动车组周转接续模型,并设计了基于σ的紧凑接续算法。
     案例分析表明,在尽端式客运站列车运行成对的条件下,考虑运行图的均衡性铺划保证了动车组列车之间的周转接续质量,尽端式客运站A站7对列车、E站6对列车均发生了折返接续,接续率为100%;在通过式客运站,运用基于σ的紧凑接续算法可使D站动车组列车之间的顺向接续在一个周期内增加2次,有利于增强进路分配计划的鲁棒性,缓解车站咽喉区的压力,但在编制运行图时, D站列车到发均衡性约束不强,且各条线路上运行的列车数量不等,动车组周转接续的效果不甚理想,在13对列车中仅10对列车发生了接续,且均为顺向接续,接续率为76.9%。
     3.研究了基于冗余时间分布的运行图调整方法,提出了关联运行线群的概念,针对顺向接续和逆向接续,分别给出了各类调整方法下列车运行线的最大可调整量;针对关联运行线群不存在调整量的情况,建立了运行图反馈调整模型,尽量使动车组列车之间均能发生周转接续以及最多的顺向接续,并以后验的方式考虑了车站到发线的数量问题。
     案例结果表明,当运行线需要的调整量较小时,可利用基于冗余时间分布的运行图调整方法对运行图进行调整,先对具有拟接续关系的运行线自身进行调整,然后再对其关联运行线群进行调整;当关联线群不存在调整量或需调整的运行线过多而难以统计调整量时,运用数学模型的方法进行建模调整;运行图调整完毕后,在车站的能力约束得到保证,且运行图的周期性结构不变,运行图的调整量较小的前提下明显提高了动车组周转接续的质量,A站7对列车、E站6对列车以及D站13对列车全部发生了接续,接续率为100%,且D站13次周转接续中,有12次顺向接续,顺向接续率达到了92.3%,为车站作业计划的可实施性创造了条件。
     本文致力于周期性列车运行图的编制、基于周期运行图的动车组周转接续问题以及基于动车组周转接续质量优化的运行图反馈调整等方面的研究,并初步考虑了进路计划的鲁棒性和车站到发线的运用数量等问题,为车站作业计划的质量和可实施性奠定了基础,也为运行计划一体化的平台建设提供了理论支持。
The scheme of railway train-set circulation is an important part in operation, which not only determines the number of needed rain-sets, but also influences the enablement of the yard operational plan seriously. During the process of drawing-up train operational scheme, timetable is a critical input data of planning train-set circulation. Train scheduling, train-set circulation and the yard operational are interdependent. Based on the all-in-one of transportation organization, it is essential to study the circulation of train-set while considering timetable optimization.
     Based on the well-known research achievements at home and abroad, this paper study the flow of timetabling based on "through" station and the circulation of train-set. To get optimal connection between train lines, the adjustment method and model for timetable based on feedback are proposed. During the process of timetabling, optimizing and adjusting, the station capacity is considerd roughly. The following components are involved:
     1. The character of cyclic train timetable is analyzed in detail. The mathematical model about working out cyclic train timetable based on periodic event scheduling problem (PESP) is analyzed. In China, some passenger dedicated lines with complex operation need more adaptable model. An ameliorated line programming model based on fixed departure/ arrival order is put forward for such situation. Further, the model was extended for the up-down line with the constraint of route conflict to take the capacity of throat into account. The flow of the railway network cyclic train timetable based on "through" station is proposed. And then, a case study is given out.
     The result demonstrates that the timetable with one hour as cycle time can partially reduce the scale of scheduling, Lingo can solve the problem quickly; Compared with timetable based on PESP, the model based on fixed departure/ arrival order which only considers the relationship between adjacent lines, needs fewer modeling time.
     2. To plan the circulation of train-sets based on railway "through" station with two lines at least, the characteristics of circulation for train-set is discussed in term of semicircle of train-sets'turnaround. Time tolerance a is defined to get more connection between train lines without a direction change. The model of train-set circulation is put forward and a compact connection algorithm based on time toleranceσis then designed.
     The result of case demonstrates that the connections between trains at terminal station is guaranteed because of timetable's equilibrium when the train lines is in pair, there are 7 connections and 6 connections at terminal station A and E separately, the connection rate is 100%; At through station D, there is 2 more connection between train lines without a direction change while the usage of compact connection algorithm based on time tolerance, but the result is not so satisfactory as a whole because of weakness of the timetable's equilibrium and the difference in quantity between railway lines, there are only 10 connections in 13 pairs without direction change, the connection rate is only 76.9%.
     3. The adjustment method of timetable based on the distribution of superfluous time is studied. To get the maximum adjusted quantity of train line while considering the adjustment method based on the connection with or without direction change, the related train line group is defined. If there is no adjusted space or it is hard to get the adjusted quantity when using the adjustment method, the model which can describe all the constraints between related train lines based on the feedback of train-set's circulation is more important. Then the model for feedback and adjustment is proposed to attain most connections, especially without direction change in through station between train lines. The number of arrival-departure track is also considered in the model as a posterior way.
     The result of the case shows that if there is no need to get big adjusted quantity, choose the adjustment method, then adjust the train lines which are the planned connection firstly; After the ultimate adjustment, there is no change for the timetable's structure and slight adjustment of travel time about train lines, and most important of all, the quality of circulation plan is improved obviously based on the station capacity satisfied, there are 7,6 connections at terminal station A and E separately, there are 13 connections, the rate of connection is 100%, especially 12 connections without direction change at through station D, and the rate reaches up to 92.3%.
     This paper makes efforts to study the cyclic train diagram establishment, train-set circulation and their feedback and optimization, while considering the robustnessof route assighment and the number constraint of station tracks. Hopefully, it can lay the foundation for the actionability to station working plan, and provide theoretical support to integrated train operational scheme.
引文
[1]Alfieri A, Groot R, Kroon L, et al. Efficient circulation of railway rolling stock[J]. Transportation Science,2006,40(3):378-391.
    [2]Amaldi E, Liberti L, Maffioli F. Algorithms for finding minimum fundamental cycle bases in graphs[J]. Electronic Notes in Discrete Mathematics,2004,17:29-33.
    [3]Ariano A D, Pacciarelli D, Pranzo M. A branch and bound algorithm for scheduling trains in a railway network[J]. European Journal of Operational Research,2007,183:643-657.
    [4]Ariano A D, Pacciarelli D, Pranzo M. Assessment of flexible timetables in real-time traffic management of a railway bottleneck[J]. Transportation Research Part C,2008,16:232-245.
    [5]Assad A A. Models for rail transportation[J].Transportation Research Part A,1980,14(3): 205-220.
    [6]Khedher B, Kintanar J, Queille C. Schedhle optimization at SNCF:from conception to day of departure [J]. Interfaces,1998,28(1):6-23.
    [7]Booler J M P. A note on the use of Lagrangean relaxation in railway scheduling[J]. Journal of the Operational Research Society,1995,46:123-127.
    [8]Booler J.M.P. The solution of a railway locomotive scheduling problem[J]. The Journal of the Operational Research Society,1980,31:943-948.
    [9]Borndrofer R, Liebchen C. When periodic timetables are suboptimal[C]. Operations Research Proceedings 2007,2008:449-454.
    [10]Brannlund U, Lindberg P O, Nou A, et al. Railway timetabling using Lagrangian relaxation[J]. Transportation Science,1998,32(4):358-369.
    [11]Cai X, Goh C J. A fast heuristic for the train scheduling problem[J]. Computers&Operations Research,1994,21(5):499-510.
    [12]Caprara A, Fischetti M, Guida P L. Solution of real-world train timetabling problems[C]. Proceeding of the 34th Hawaii International Conference on System Sciences,2001:99-105.
    [13]Caprara A, Fischetti M, Toth P. Modeling and solving the train timetabling problem[J]. Operations Research,2002,50(5):851-861.
    [14]Caprara A, Kroon L, Monaci M, et al. Chapter 3 Passenger railway optimization[J]. Operations Research and Management Science,2007,14:129-187.
    [15]Caprara A, Monaci M, Toth P, et al. A Lagrangian heuristic algorithm for a real-world train timetabling problem [J]. Discrete Applied Mathematics,2006,154(5):738-753.
    [16]Carey M. A model and strategy for train pathing with choice of lines, platforms, and routes[J]. Transportation Research Part B,1994,28(5):333-353.
    [17]Carey M, Lockwood D. A model, algorithms and strategy for train pathing[J]. Journal of the Operational Research Society,1995,46(8):988-1005.
    [18]Ceder A. A procedure to adjust transit trip departure times through minimizing the maximum headway[J]. Computer & Operations Research,1991,18(5):417-431.
    [19]Chang Y H, Yeh C H, Shen C C.A multiobjective model for passenger train services planning: application to Taiwan's high-speed rail line[J]. Transportation Research Part B,2000,34: 91-106.
    [20]Chiang T W, Hau H Y, Chiang H M, et al. Knowledge-based system for railway scheduling[J]. Data and Knowledge Engineering,1998,27:289-312.
    [21]Christian L. Periodic timetable optimization in public transport[M]. Berlin:Genehmigte dissertation,2006.
    [22]Chung J W, Oh S M, Choi I C. A hybrid genetic algorithm for train sequencing in the Korean railway[J]. The International Journal of Management Science,2009,37:555-565.
    [23]Cordeau J F, Soumis F. A benders decomposition approach for the locomotive and car assignment problem[J]. Transport Science,2002,34:133-149.
    [24]Cordeau J F, Toth P, Vigo D. A survey of optimization models for train routing and scheduling[J]. Transportation Science,1998,32(4):380-404.
    [25]Cordeau J F, Desaulniers G, Lingaya N, et al. Simultaneous locomotive and car assignment at VIA rail Canada[J]. Transportation Research Part B,2001a,35:767-787.
    [26]Cordeau J F, Desrosiers J. Simultaneous assignment of locomotives and cars to passenger trains[J].Operations Research,2001b,49(4):531-548.
    [27]Deo N, Prabhu G M. Algorithms for generating fundamental cycles in a graph[J]. ACM Transactions on Mathematical Software,1982,8(1):26-42.
    [28]Domschke W. Schedule synchronization for public transit networks[J]. OR Spektrum,1989, 11(1):17-24.
    [29]Fioole P J, Kroon L, Maoti G, et al.A rolling stock circulation model for combining and splitting of passenger trains[J]. European Journal of Operational Research,2006,174: 1281-1297.
    [30]Gertsbakh I, Serafini P. Periodic transportation schedules with flexible departure times:An interactive approach based on the periodic event scheduling problem and the deficit function approach[J]. European Journal of Operational Research,1991,50(3):298-309.
    [31]Goverde R. Railway timetable stability analysis using max-plus system theory[J]. Transportation Research Part B,2007,41:179-201.
    [32]Hassin R. A flow algorithm for network synchronization[J]. Operations Research,1996,44(4): 117-137.
    [33]Ho T K, He Y Q. Evaluation on service quality of railway timetable [A]. In:Mao Baohua, Tian Zongzhong, Huang Haijun and Gao Ziyou. Proceedings of the Sixth International Conference on Traffic and Transportation Studies[C]. ASCE, USA,2008:688-696.
    [34]Higgins A, Kozan E. Heuristic techniques for single line train scheduling[J]. Journal of Heuristics,1997,3:43-62.
    [35]Hong S P, Kim M K, Lee K, et al. A pragmatic algorithm for the train-set routing:the case of Korea high-speed railway[J]. The International Journal of Management Science,2009,37: 637-645.
    [36]Jia W Z, Mao B H, Liu H D, et al. Service robustness analysis of trains by a simulation method[A]. In:Baohua Mao, Zongzhong Tian, Haijun Huang and Ziyou Gao. Proceedings of the Sixth International Conference on Traffic and Transportation Studies [C]. ASCE, USA, 2008a:752-762.
    [37]Jia W Z, Chen S K, Ho T K, et al. A heuristic algorithm for fixed train runtime[A]. In: Challengers for Railway Transportation in Information Age, International conference on railway engineering 2008 [C]. The institution of Engineering and Technology Hong Kong, 2008b:230-236.
    [38]Jovanovic D, Harker P T. Tactical scheduling of rail operations:The SCAN I system [J]. Transportation Science,1991,25(1):46-64.
    [39]Komaya K. An integrated framework of simulation and scheduling in railway systems [C]. Computers in Railways Ⅲ,1992,1:611-622.
    [40]Kroon L, Maroti G, Helmrich M R, et al. Stochastic improvement of cyclic railway timetables [J]. Transportation research part B,2008,42:553-570.
    [41]Kroon L G, Peeters L. A variable trip time model for cyclic railway timetabling[J]. Transport Science,2003,37(2):198-212.
    [42]Kroon L G, Dekker R, Vromans, M. Cyclic railway timetabling:a stochastic optimization approach[J]. Computer Science,2007,4359:41-66.
    [43]Kuo C C.A mathematical modeling approach to improving locomotive utilization at a freight railroad[J]. The International Journal of Management Science,2007,35:472-485.
    [44]Lee Y, Chen C Y. A heuristic for the train pathing and timetabling problem[J]. Transportation Research Part B,2009,43:837-851.
    [45]Liebchen C, Proksch M, Wagner F H. Performance of algorithms for periodic timetable optimization[C].9th International Conference on Computer-Aided Scheduling of Public Transport,2004.
    [46]Liebchen C. Symmetry for periodic railway timetables[J]. Electronic Notes in Theoretical Computer Science,2004,92:34-51.
    [47]Maoti G, Kroon L. Maintenance routing for train units:the interchange model[J]. Computers & Operational Research,2007,34:1121-1140.
    [48]Maoti G, Kroon L. Maintenance routing for train units:the transition model[J]. Transportation Science,2005,39(4):518-525.
    [49]Maoti G. Operations research models for railway rolling stock planning [D]. Eindhoven, Technische Universiteit Eindhoven,2006.
    [50]Nemhauser G L. Scheduling local and express service[J]. Transportation Science.1969,3(2): 164-175.
    [51]Odijk M A. A constraint generation algorithm for the construction of periodic railway timetables [J]. Transportation Research,1996,30(6):455-464.
    [52]Oliveira E, Smith B M. A job-shop scheduling model for the single-track railway scheduling problem[R]. School of Computing Research Report, University of Leeds,2000,21.
    [53]Peeters L. Cyclic railway timetable optimization[D]. Rotterdam:The Netherlands TRAIL Research School,2003.
    [54]Peeters M, Kroon L. Circulation of railway rolling stock:a branch-and-price approach[J]. Computers & Operational Research,2006,35:1-19.
    [55]Petersen E R, Taylor A J, Martland C D. An introduction to computer aided train dispatch[J]. Journal of Advanced Transportation.1986,20(1):63-72.
    [56]Rodriguez J. A constraint programming model for real-time train scheduling at junctions[J]. Transportation Research Part B,2007,41:231-245.
    [57]Rouillon S, Desaulniers G, Soumis F. An extended branch-and-bound method for locomotive assignment[J]. Transportation Research Part B,2006,40:404-423.
    [58]Sahin I. Railway traffic control and train scheduling based on inter-train conflict management[J]. Transportation Research Part B,1999,33:511-534.
    [59]Salzborn F J M. Timetables for suburban rail transit system[J]. Transportation Science,1969, 3(4):297-316.
    [60]Schrijver A. Minimum circulation of railway stock[J]. CWI Quarterly,1993,6:205-221.
    [61]Serafini P, Ukovich W. A mathematical model for the fixed-time traffic control problem[J]. European Journal of Operational Research,1989,42(2):152-165.
    [62]Szpigel B. Optimal train scheduling on a single line railway[J]. Operational Research,1973,7: 344-351.
    [63]Tornquist J, Persson J A. N-tracked tailway traffic re-scheduling during disturbances [J]. Transportation Research Part B,2007,41:342-362.
    [64]Tyrrall D. The UK railway privatisation:failing to Succeed?[J]. Economic Affairs,2004, 24(3):32-38.
    [65]Vansteenwegen P, Oudheusden D V. Decreasing the passenger waiting time for an intercity rail network[J]. Transportation Research Part B,2007(41):478-492.
    [66]Vansteenwegen P, Oudheusden D V. Developing railway timetables which guarantee a better service[J]. European Journal of Operational Research,2006,173:337-350.
    [67]Voorhoeve M. Rail scheduling with discrete sets[R]. Technical Report, Eindhoven University of Technology, Eindhoven, The Netherlands,1993.
    [68]Vromans M. Reliability of railway systems [D]. Rotterdam:Erasmus University,2005.
    [69]Watson R, The effect of railway privatization on train planning:a case study of the UK[J]. Transport Reviews,2001,21(2):181-193.
    [70]Wendler E. The schedule waiting time on railway lines[J]. Transportation Research Part B, 2007,41:148-158.
    [71]Zuidwijk R, Kroon L. Integer constraints for train series connections[R]. Research Report 05-LIS, ERIM, Rotterdam:The Netherlands,2000:1-13.
    [72]Zwaneveld P J, Kroon L G, Romeijn H E, et al. Routing trains through railway stations:model formulation and algorithms [J]. Transportation Science,1996,30(3):181-194.
    [73]曹家明.单线铁路列车运行调整优化模型及算法[J].铁道学报,1994,16(3):72-78.
    [74]曹家明.双线铁路行车调度调整的优化方法[J].西南交通大学学报,1995,30(6):520-526.
    [75]陈华群,唐协.应用神经网络优化高速铁路动车组周转的研究[J].中国安全生产科学技术,2006,2(2):46-49.
    [76]陈军华,张星臣,俞文锦.基于稳定性的列车运行计划编制模型与算法[J].物流技术,2009,28(3):70-72.
    [77]陈彦如,彭其渊,蒋阳升.复线列车运行调整满意优化模型研究[J].铁道学报,2003,25(3):8-12.
    [78]陈勇,解安亮,孙全欣.高速铁路列车运行图编制系统的研究[J].铁路计算机应用,2000,9(4):4-7.
    [79]董守清,王进勇,闫海峰.双线铁路列车运行调整的禁忌搜索算法[J].中国铁道科学,2005,26(4):114-119.
    [80]付慧伶,聂磊.基于枢纽的客运专线列车运行方案研究[J].综合运输,2008,7:52-54.
    [81]耿敬春,肖荣国,倪少权等.客运专线动车组周期性运用计划编制的研究[J].铁道学报,2006,28(4):17-21.
    [82]郭富娥.利用电子计算机编制列车运行图的研究[J].世界铁路,1993,1:6-11.
    [83]郭富娥.日本近期开发的列车运行图编制系统[J].中国铁路,1995,8:39-40.
    [84]韩冰.编制秦沈客运专线列车运行图分析[J].铁道运输与经济,2003,25(3):29-30.
    [85]韩延慧,聂磊,刘钢.高速铁路合并式列车开行方案分析与设计[J].铁道运输与经济, 2001,23(10):30-33.
    [86]何奉道,何冬昀.不固定牵引方式双肩回交路机车最优配置的遗传算法[J].中国铁道科学,2007a,28(1):118-122.
    [87]何奉道,何冬昀.基于变异进化的不固定牵引方式双肩回交路机车最优配置算法[J].交通运输系统工程与信息,2007b,7(2):88-92.
    [88]胡思继.列车运行图编制理论[M].北京:中国铁道出版社,2007.
    [89]黄元秋,刘彦佩.图的生成树,基本圈与Betti亏数[J].数学物理学报,2004,24A(4):496-500.
    [90]黄志彤,倪少权,陈翠利等.动车组运用及检修设施规模的研究[J].铁道运输与经济,2008,30(6):78-81.
    [91]贾传峻,胡思继,杨宇栋.列车运行调整微粒群算法研究[J].铁道学报,2006,28(3):6-11.
    [92]贾文峥,毛保华,何天键等.基于Petri网的车站股道分配方案瓶颈识别.交通运输系统工程与信息,2009,9(6):136-141.
    [93]贾文峥,毛保华,何天健,刘海东.大型客运站股道分配问题的模型与算法.铁道学报,2010,32(2):8-11.
    [94]贾文铮.大型客运站的进路分配问题及缓冲时间研究[D].北京:北京交通大学,2010.
    [95]兰淑梅.京沪高速铁路客车开行方案有关问题的研究[J].铁道运输与经济,2002,24(5):32-34.
    [96]黎新华.单线区段列车运行图铺划与调整优化方法研究[D].长沙:中南大学,2005.
    [97]李鹏,张一军.内部协同式列车运行调整专家系统的研究[J].中国铁道科学,1996,19(3):1-9.
    [98]梁栋,林柏梁,严贺祥等.车种代用情况下的铁路空车调配研究[J].铁道学报,2005,27(4):1-5.
    [99]刘爱江,许长枫,何大可.基于遗传算法的列车运行图初始布点配对模型[J].铁路计算机应用,2003,12(1):13-16.
    [100]刘海东,陈绍宽,褚琴,等.具有固定运行时分的列车运行控制系统研究[J].北方交通大学学报,2002,26(5):24-27.
    [101]刘海东,毛保华,丁勇,等.列车自动驾驶仿真系统算法及其实施研究[J].系统仿真学报,2005,17(3):577-580.
    [102]刘丽影,刘继刚,刘继.我国高速动车组检修制度[J].同济大学学报,2001,29(8):1000-1003.
    [103]刘领兵,吕红霞,陈广秀.多端点不成对机车周转图模型与算法[J].交通运输工程与信息学报,2006,4(3):106-109.
    [104]刘梅林,郭富娥.苏联铁路利用电子计算机编制列车运行图综述[J].世界铁路,1991,4:6-10.
    [105]刘其斌,马桂贞.铁路车站及枢纽[M].北京:中国铁道出版社,2007.
    [106]陆越,张德明.基于模糊神经网络的列车运行调整模型[J].铁道运输与经济,2007,29(8):70-72.
    [107]罗焕然.列车规则性班表排程之研究[D].台湾:国力成功大学交通管理科学研究所,1996.
    [108]马建军,周磊山,胡思继.计算机编制网状线路列车运行图系统研究[J].铁道学报,2000,22(1):7-11.
    [109]毛保华.铁路列车运行模拟与评价系统[R].北京:北方交通大学,1999.
    [110]毛保华,何天键,袁振洲,等.通用列车运行模拟软件系统研究[J].铁道学报,2000, 22(1):1-6.
    [111]毛保华,王保山,徐斌等.我国铁路列车运行计划集成编制方法研究[J].交通运输系统工程与信息,2009,9(2):27-37.
    [112]牟文婷,董昱.铁路列车运行调整模型及三群协同粒子群算法的研究[J].铁道运营技术,2010,16(2):13-15.
    [113]倪少权等.客运专线动车组周转图编制优化的研究[J].学术动态,2006,3:16-20.
    [114]聂磊,赵鹏,杨浩,等.高速铁路动车组运用的研究[J].铁道学报,2001,23(3):1-7.
    [115]聂磊,赵鹏,等.客运专线运输组织技术[M].北京:北京交通大学出版社,2008.
    [116]聂磊,高速铁路列车运行调整优化理论与方法[D].北京:北京交通大学,1999.
    [117]潘锋,王慈光.动车组不固定区段运用评价指标的探讨[J].铁道运输与经济,2007,29(8):3-6.
    [118]彭其渊,杨明伦,聂勋煌.单线区段实用货物列车运行图的优化模型及算法[J].铁道学报,1995,17(3):15-20.
    [119]彭其渊.基于实用的一种网络列车运行图计算方法[J].西南交通大学学报,1999,34(5):588-593.
    [120]彭其渊.客运专线运输组织[M],北京:科学出版社,2006.
    [121]钱名军.列车运行图和机车周转图最佳配合铺画的研究[J].铁道运营技术,2008,14(2):8-10.
    [122]史峰,胡安洲.机车周转图的线性配置[J].铁道学报,1996,18(4):18-24.
    [123]史峰,黎新华,秦进,等.单线列车运行调整的最早冲突优化方法[J].中国铁道科学,2005,26(1):106-113.
    [124]史峰,黎新华,秦进,等.单线列车运行图铺划的时间循环迭代优化方法[J].铁道学报,2005,27(1):1-5.
    [125]史峰.定序单线列车运行图的原始-对偶算法[J].铁道学报,1996,18(1):8-20.
    [126]陶然,吕红霞,陈广秀.基于MTSP的机车周转图编制模型与算法[J].西南交通大学学报,2006,41(5):653-657.
    [127]铁道部运输局.2007-2008铁道部重要会议[M].北京:中国铁道出版社,2006.
    [128]佟璐,聂磊,赵鹏.蚁群算法在动车组运用问题中的应用[J].交通运输系统工程与信息,2009,9(6):161-167.
    [129]汪波,杨浩,牛丰,等.周期运行图编制模型与算法研究[J].铁道学报,2007,29(5):1-6.
    [130]汪波,杨浩,张志华.基于周期运行图的京津城际铁路列车开行方案研究[J].铁道学报,2007,29(2):8-13.
    [131]汪波,杨浩.基于规格运行图的铁路客运专线通过能力的研究[A].2005全国博士生学术论坛(交通运输学科)论文集[C].北京:中国铁道出版社,2005.
    [132]王万良,吴启迪,徐新黎.基于Hopfield神经网络的作业车间生产调度方法[J].自动化学报,2002,28(5):838-844.
    [133]王莹.动车组运用计划和乘务计划的优化方法研究[D].北京:北京交通大学,2009.
    [134]吴敌,钟雁.我国铁路客运动车组检修制度的研究[J].铁道运输与经济,2006,28(1):50-51.
    [135]吴敌.基于运用的客运专线动车组检修体制的研究[D].北京:北京交通大学,2006.
    [136]吴洋,罗霞,王月明,等.地铁列车在出站晚点情况下的“压赶结合”运行调整方法[J].交通运输工程与信息学报,2004,2(2):96-101.
    [137]夏明,周磊山,孙琦,等.基于蚁群算法的双线铁路列车运行调整研究[J].物流技术,2008,27(6):61-64.
    [138]肖龙文,谢如鹤.单线区段列车运行图的自动化调整方法[J].交通运输工程学报,2004,4(3):25-29.
    [139]许红,马建军,龙建成.客运专线列车运行图编制模型及计算方法的研究[J].铁道学报,2007,29(2):1-7.
    [140]许红,马建军,龙建成等.城市轨道交通列车运行图编制的数学模型及方法[J].北京交通大学学报,2006,30(3):10-14.
    [141]闫海峰,崔燚.编制机车周转图的优化模型[J].中国铁道科学,2006,27(4):123-128.
    [142]杨浩,何世伟.铁路运输组织学[M].北京:中国铁道出版社,2001.
    [143]杨军,杨浩,卢海波.遗传算法在动车组周转优化模型中的应用[J].铁道运输与经济,2004,26(7):65-67.
    [144]杨希流.优化机车周转图的简便方法[J].铁道运输与经济,1990,5:31-34.
    [145]叶峻青,李夏苗.繁忙单线铁路区段列车运行调整计划的优化[J].交通运输工程学报,2002,2(2):120-122.
    [146]张杰,陈韬,施福根.客运专线动车组运用计划的计算机编制[J].西南交通大学学报,2006,41(5):635-640.
    [147]张咏,杨晓军,赵留杰等.层次分析法在列车运行调整中的应用[J].铁道运输与经济,2009,31(3):69-73.
    [148]张育升.列车运行调整自动化的几个问题[J].北方交通大学学报,1994,18(4):578-581.
    [149]章优仕,金炜东.基于遗传算法的单线列车运行调整体系[J].西南交通大学学报,2005,40(2):147-152.
    [150]赵鹏,富井规雄.动车组运用计划及其编制算法[J].铁道学报,2003,25(3):1-7.
    [151]赵鹏,富井规雄.基于概率局域搜索的动车组平日运用计划编制算法[J].系统工程理论与实践,2004a,2:123-129.
    [152]赵鹏,富井规雄.基于路段交换的多基地动车组运用计划的编制算法[J].铁道学报,2004b,26(1):7-11.
    [153]赵鹏,胡安洲.高速铁路运行调整弹性研究[J].北方交通大学学报,1995,19:20-24.
    [154]赵鹏,杨浩,胡安洲.高速铁路动车组不固定区段使用问题[J].铁道学报,1997a,19(2):15-20.
    [155]赵鹏,张迦南.铁路动车组的运用问题研究[J].北京交通大学学报,2009,33(3):6-10.
    [156]赵鹏,胡安洲,杨浩.高速铁路动车组不固定区段使用条件下周转优化问题的研究[J].北京交通大学学报,1997b,21(6):21-24.
    [157]赵鹏.高速铁路动车组和乘务员运用的研究[D].北京:北方交通大学,1998.
    [158]赵强,严余松.单线铁路列车运行调整计算机辅助决策系统研究[J].铁道学报,2000,22(4):1-7.
    [159]赵强.单线铁路列车运行调整优化模型与算法研究[J].系统工程,1999,17(6):12-18.
    [160]赵庶旭,党建武.客专运行调整混沌改进遗传算法研究[J].计算机工程与应用,2009,45(9):220-223.
    [161]周磊山,胡思继,马建军等.计算机编制网状线路列车运行图方法研究[J].铁道学报,1998,20(5):15-21.
    [162]周伟,秦世引,万百五.高速铁路列车运行调整的状态空间模型及算法[J].西北纺织工学院学报,1997,11(3):210-215.
    [163]周文梁,史峰,陈彦.基于定序优化的客运专线列车运行图铺划方法[J].铁道学报,2010,32(1):1-7.

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