公交站点运行效率计算及车辆停靠组织优化
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
公交站点的车辆停靠组织优化是公交运输管理与规划理论的重要组成部分,它对于提高公交系统内部的运行效率以及公交服务水平具有重要意义。随着公共交通规模的不断扩大,公交站点的排队及拥堵现象日益突出,由此引发的路网拥堵和公交服务水平低下都是目前急需解决的问题。
     公交站点拥堵的根本原因是供需不平衡,只有实施更加精细化的公交车辆停靠组织管理才能有效解决这一问题,而这一工作的前提是要对公交站点运行效率进行客观评价。为此,本文针对现有站点运行效率计算方法的不足,并结合我国常规公交系统中出现的问题,在公交站点车辆运行及影响区域交通特性、公交站点运行效率计算模型、公交站点停靠组织优化方法等方面进行了相关研究与探讨,形成了系统、科学的公交站点车辆停靠组织优化技术体系。论文完成的主要工作及取得的重要科研成果概括如下:
     (1)公交站点车辆运行特性及影响区域交通特性
     从概率统计和理论分析角度分析了公交站点车辆到达特征函数,使用实际调查数据标定了公交站点车辆停靠时间的理论计算模型,并对其概率分布函数进行了拟合,得到了公交站点车辆到达函数和站点服务时间的理论表达和概率统计函数。通过分析公交站点处社会车辆和公交车辆的相互影响特性,分别建立了直线式和港湾式公交站点影响下的路段通行能力计算模型,并使用VISSIM仿真数据验证了模型的有效性。
     (2)公交站点运行效率计算模型
     使用时空分布图分析了公交车辆在公交站点的服务过程,并在综合考虑站点排队概率和停靠时间分布的基础上,提出了直线式和港湾式公交站点的通行能力计算模型。分析了公交站点的排队模型,将嵌入式马尔科夫链和Z-变换方法应用到传统的排队论模型中,推导了公交站点在平稳状态下的平衡分布函数,建立了直线式和港湾式公交站点的延误及排队长度计算模型;最后,分别使用实测数据和VISSIM仿真数据对模型有效性进行了检验。本文提出的模型能够根据实际公交站点的车辆到达和停靠时间分布参数,确定不同位置和不同时段的通行能力和延误,为公交站点运行效率评价提供基础。
     (3)公交站点车辆停靠组织优化方法
     针对不同公交站点的实际情况,从提高公交站点供给效率和降低停靠需求频率两方面去研究站点运行效率的提高对策。在提高供给效率方面,提出了设置分离式站台情况下的公交线路分配模型;在降低需求频率方面,首先研究以分离不同出行OD乘客为目标的单线路公交车辆跳站运行优化方法,进而构建了以缓解站点拥堵为目标的多线路公交跳站运行优化模型。最后,以杭州市天目山路-环城北路为研究对象,分别设计分离式多站台公交线路分配方案、单线路公交车辆跳站运行方案和多线路公交车辆跳站运行方案,并分析设计方案的应用效果,验证了模型的有效性。
     最后,对论文的研究进展及主要成果进行总结,并提出研究过程中存在的主要问题以及下一步需要深入探索的内容。
The optimization for dwelling scheme of buses is an important part of the urban transportationplanning and management theory. And it is an effective way to improve the operating efficiencyand service level of public transit. In recent years, with the rapid development of public transport,bus stops face increasing pressure especially during peak hours and serious traffic congestionoccurs frequently, which decrease the service level of public transit.
     The fundamental reason for the above problems is that bus demand exceeds the capacity ofthe bus stops, resulting in some buses waiting in the travel lane until the buses occupying the berthentrance. There is an urgency to systematically study and assess the operating features of bus stops,which will provide basis for detailed planning and management of bus stops and bus operation.Therefore, in view of the shortcomings of current studies on the calculation of operating efficiencyof bus stops, this paper conducted the related studies on the characters of bus operating at stops,the regional traffic characteristics affected by stops, the calculation of operating efficiency, andthe optimization methods for dwelling scheme of buses aiming at the current status of the bus.Finally, a systemic and scientific subarea partition system is developed. The main research workand production completed in this paper are summarized as follows.
     (1) The characters of bus operating at stops and traffic characteristics of regionalaffected by stops
     The function of bus arrived at stops is analyzed from the point of theory and probabilitystatistics. The calculation model of dwell time is calibrated using the actual survey data, and itsprobability distribution functions is fitted. The vehicle operating characteristics is analyzed withinbus influence area for each type of bus stop. On this basis, a method of computing the capacity ofroadway links is developed using queuing theory and gap acceptance theory, and the validity ofthe models are verified by VISSIM simulation.
     (2)The calculation of operating efficiency of bus stops
     The servicing process of buses is analyzed at the on-line stops with the trajectories aiming atthe current status of the bus. On this basis, the method of computing on-line bus stop and bus baycapacity are developed, which considers both the queue probability, the dwell time distributionand the time of waiting for a gap in the traffic stream at the curb lane. The queuing model of busstops are analyzed, and the equilibrium distribution function are proposed by using the embeddedMarkov chain and Z-transform method to the traditional model of queuing theory in the steadystate. The calculation models of bus delay and queue length are derived at stops and bays. Finally,the proposed models are validated using field-measured and simulated data. With these models thecapacity and delay gain are easily assessed knowing the characteristics of the dwell timedistribution, the queue probability and traffic volume at curb lane in different locations anddifferent periods. It can provide basics for the efficiency evaluation of bus stops.
     (3) The optimization methods for dwelling scheme of buses
     For the actual situation of different bus stops, the measures of improving operating efficiencyare studied from two aspects of decreasing supply efficiency and reducing demand frequency. Atthe respect of decreasing supply efficiency, the bus line assignment model to divided dual-berthstops is developed. At the respect of reducing demand frequency, the single line bus skip-stopoperation optimization method firstly is studied in order to separate different passengers of travelO-D, and then the multi-line bus skip-stop operation optimization method is proposed with thegoal of easing congestion of stops. At last, the Tian-mu-shan Road of Hangzhou city is used as anexample. The bus line assignment program, single line bus skip-stop operation scheme and multi-line bus skip-stop operation scheme are designed respectively used proposed methods. Resultsshow that the optimization scheme can improve the operating efficiency of studied road.
     At last, the research contents in this paper are concluded and the innovative points aresummarized. Then the shortcomings of correlation degree models are analyzed and the followingresearch plan is provided.
引文
[1]王凤武.优先发展城市公共交通建设和谐城市交通体系[J],城市交通,2007,5(6):7-13.
    [2] Abkowitz, M. D., and Lepofsky, M.. Implementing headway-based reliability controls ontransit routes. Journal of Transportation Engineering,1988,116(1):49-63.
    [3] C. Leiva, J. C. Munoz, R. Giesen, H. Larrain,“Design of limited-stop services for an urbanbus corridor with capacity constraints,” Transportation Research Part B, vol.44, no.10, pp.1186-1201,2010.
    [4] Eberlein, X. J., Real-Time Control Strategies in Transit Operations: Models and Analysis
    [Ph.D. dissertation], Department of Civil and Environmental Engineering, MassachusettsInstitute of Technology,1995.
    [5] S. C. Wirasinghe, Nadia S. Ghoneim. Spacing of Bus-stops of Many to Many Travel Demand[J].Transportation Science,1981,15(3):210-221.
    [6] Geok K. Kuha, Jossef Perl. Optimization of Feeder Bus Routes and Bus-stop Spacing [J].Journal of Transportation Engineering.1988,114(3):341-353.
    [7] Anthony A. Saka. Model of Determining Optimum Bus-stops Spacing in Urban Areas [J].Journal of Transportation Engineering.2001,127(3):195-199.
    [8] Transportation Research Board. Transit capacity and quality of service manual [M].Washington, D. C.: National Research Council,2003.
    [9] Transportation Research Board. Highway Capacity Manual2010[M]. Washington, D. C.:National Research Council,2010.
    [10]Guenthner, R., and Sinha, K.. Modeling bus delays due to passenger boardings and alightings[J]. Transportation Research Record: Journal of the Transportation Research Board,1983,915:7–13.
    [11]Jaiswal, S., Bunker, J., and Ferreira, L. Measuring bus dwell time and platform crowding at abusway station [C]. In Proceedings of31st Australasian Transport Research Forum, ATRF,Gold Coast, Australia,2008.
    [12]Jaiswal, S., Bunker, J., and Ferreira, L.. Modeling the relationship between passenger demandand bus delays at busway station [C]. in Proceedings of88th Annual Meeting ofTransportation Research Board, TRB, Washington, D. C.,2009.
    [13]Levinson, H.. Transit travel time performance [J]. Transportation Research Record: Journalof the Transportation Research Board,1983,915:1–6.
    [14]Lin T. and N. H. Wilson. Dwell time relationships for light rail systems [J]. In TransportationResearch Record: Journal of the Transportation Research Board. Transportation ResearchBoard of the National Academies, Washington, D.C.,1992,1361:287-295.
    [15]Bertini, Robert L. and Ahmed M. El-Geneidy. Modeling Transit Trip Time Using ArchivedBus Dispatch System Data [J]. Journal of Transportation Engineering,2004,130(1):56-67.
    [16]Dueker, Kenneth J., Thomas J. Kimpel, James G. Strathman and Steve Callas. Determinantsof Bus Dwell Time [J]. Journal of Public Transportation,2004,7(1):21-40.
    [17]Guenthner, R., and Hamat, K.. Transit dwell time under complex fare structure [J]. Journal ofTransportation Engineering,1988,114(3):367–379.
    [18]Milkovits, M.. Modeling the factors affecting bus stop dwell time: Use of automatic passengercounting, automatic fare counting, and automatic vehicle location data [J]. TransportationResearch Record: Journal of the Transportation Research Board,2008,2072:125–130.
    [19]Levine, J., and Torng, G.. Dwell-time effects of low-floor bus design [J]. Journal ofTransportation Engineering,1994,120(6):914–929.
    [20]Rajbhandari, R., Chien, S., and Daniel, J.. Estimation of bus dwell times with automaticpassenger counter information [J]. Transportation Research Record: Journal of theTransportation Research Board,2003,1841:120–127.
    [21]Sumeet Jaiswal, Jonathan Bunker and Luis Ferreira. Influence of Platform Walking on BRTStation Bus Dwell Time Estimation: Australian Analysis [J]. Journal of TransportationEngineering,2010,136(12):1173–1179.
    [22]彭庆艳,杨东援.公交汽车中途站停靠时间模型[J].长安大学学报,2002,22(1):60-61.
    [23]刘志谦.公交车在站停靠时间建模研究[J].城市公共交通,2008,9:23-27.
    [24]柴茜,陈绍宽,毛保华.考虑拥堵的快速路直线式公交站线路容纳能力[J].吉林大学学报(工学版),2009,39(S2):58-62.
    [25]杨静,张蕊,吴海燕,张哲宁,毛保华.基于运营可靠性的两停靠位公交站点出站排队时间计算模型[J].交通运输系统工程与信息,2011,11(3):108-112.
    [26]Levinson, H. S., and K. R. St. Jacques. Bus Lane Capacity Revisited [J]. TransportationResearch Record: Journal of the Transportation Research Board, No.1618, TransportationResearch Board of the National Academies, Washington, D. C.,1998,189-199.
    [27]M. Estrada, J. Ortigosa, F. Robuste. Tandem Bus Stop Capacity [C]. Transportation ResearchBoard90th Annual Meeting, Washington, D.C.,2011:1-13.
    [28]St. Jacques, K.R. and H.S. Levinson. TCRP Report26: Operational Analysis of Bus Lanes onArterials. Transportation Research Board of the National Academies, Washington, D.C.,1997.
    [29]Kohler, V.. Capacity of Transit Lanes. Proceedings of the International Symposium onHighway Capacity[C], Karlsruhe, Germany,1991.
    [30]Gibson, J., Baeza, I., and L.G Willumsen. Bus-stop, congestion and congested bus-stops [J].Traffic Engineering and Control,1989,30(6):291–302.
    [31]Fernandez R.. Modeling public transport stops by microscopic simulation [J]. TransportationResearch Part C.2010,18:856–868.
    [32]Wei-hua Gu, Yu-wei Li, Michael J. et.. On the capacity of isolated, curbside bus stops [J].Transportation Research Part B,2011,45:714-723.
    [33]陈宽民,严宝杰.道路通行能力分析[M].北京:人民交通出版社,2003:201-205.
    [34]李娜,陈学武.公交车中途停靠站通行能力及设计站长计算初探[J].土木工程学报,2003,36(7):72-77.
    [35]杨晓光,徐辉,王健等.港湾式公交停靠站设置条件研究[J].中国公路学报,2011,24(1):96-102.
    [36]杨晓光,张海雷,汪涛.双港湾式公交停靠站的研究[J].公路交通科技,2007,24(9):104-108.
    [37]柏海舰李文权.常规公交站台容纳线路能力计算模型[J].东南大学学报(自然科学版),2007,37(6):1077-1080.
    [38]柏海舰李文权,孙山.基于车流特性的路内公交站点通行能力[J].系统工程理论与实践,2009,29(10):174-179.
    [39]杨晓光,安健,刘好德,滕靖,张栋.公交运行服务质量评价指标体系探讨[J].交通运输系统工程与信息,2010,10(4):13-21.
    [40]Athony A. Saka. Model for Determining Optimum Bus-stop Spacing in Urban Areas [J].Journal of Transportation Engineering,2001,127(3):79-152.
    [41]Furth, P. G.. Optimal bus stop spacing through dynamic Programming and geographicmodeling [J].Transportation Research Record,2000,1731:10-24.
    [42]Estimation of bus dwell times with automatic passenger counter information [J].Transportation research record,2003,1841:120-127.
    [43]朱伟,陈学武.多线路公交停靠站点车辆延误分析与对策[J].中国市政工程,2002(2):7-9.
    [44]葛宏伟,王炜,陈学武.信号交叉口上游公交站点实际停靠延误模型[J].哈尔滨业大学学报,2008,40(12):2062-2067.
    [45]徐志, Akpakli V. K.,杨孝宽.公交停靠站延误分析及估算方法[J].武汉理工大学学报(交通科学与工程版),2010,34(5):877-881.
    [46]周望冬,马国忠,杨建.公交停靠站点车辆延误研究[J].城市公共交通,2005,12:26-28.
    [47]Li-ping Fu, Qing Liu, Paul Calamai. Real-Time Optimization Model for Dynamic Schedulingof Transit Operations[J]. Transportation Research Record,2003:48-55.
    [48]张飞舟,晏磊,范跃祖,孙先仿.智能交通系统中的公交车辆调度方法研究[J].中国公路学报,2003,16(2):82-85.
    [49]牛学勤,陈茜,王炜.城市公交线路调度发车频率优化模型[J].交通运输工程学报,2003,3(4):68-72.
    [50]徐大伟,裴玉龙.公共交通大站快车调度模型[J].哈尔滨工业大学学报,2008,40(4):580-584.
    [51]C. Leiva, J. C. Munoz, R. Giesen, H. Larrain,“Design of limited-stop services for an urbanbus corridor with capacity constraints,” Transportation Research Part B, vol.44, no.10, pp.1186-1201,2010.
    [52]Ceder, A., Wilson, N.,“Bus network design,” Transportation Research Part B, vol.20, no.4,pp.331-344,1986.
    [53]Lin, G., P. Liang, P. Schonfeld, and R. Larson. Adaptive Control of Transit Operations[R].Final Report for Project MD-26-7002, University of Maryland,1995.
    [54]Eberlein, X. J., Real-Time Control Strategies in Transit Operations: Models and Analysis
    [Ph.D. dissertation], Department of Civil and Environmental Engineering, MassachusettsInstitute of Technology,1995.
    [55]Huimin Niu,“Determination of the skip-stop scheduling for a congested transit line by bi-level genetic algorithm,” International Journal of Computational Intelligence Systems, vol.6,no.4, pp.1158-1167,2011.
    [56]Furth, P. G., and F. B. Day. Transit Routing and Scheduling Strategies for Heavy-DemandCorri-dors (Abridgment)[J]. Transportation Research Record,1985:23-26.
    [57]Fan, W., Machemehl, R.,“Using a simulated annealing algorithm to solve the transit routenetwork design problem,” Journal of Transportation Engineering, vol.132, no.2, pp.122-132,2006.
    [58]Mauttone, A., Urquhart, M. E.,“A route set construction algorithm for the transit networkdesign problem,” Computers&Operations Research, vol.36, no.8, pp.2440-2449,2009.
    [59]Yosef Sheffi, Urban Transportation Networks: Equilibrium Analysis with MathematicalProgramming Methods, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, American,1985.
    [60]Gross, D., Shortle, J.F., Thompson, J.M., Harris, C.M., Fundamentals of Queueing Theory,John Wiley&Sons, Inc., Hoboken, New Jersey, American,2008.
    [61]Mesbah, M., Sarvi, M., Currie, G..“A new methodology for optimizing transit priority at thenetwork level,” Transportation Research Record, no.2089, pp.93-100,2008.
    [62]Xiao-mei Zhao, Zi-you Gao, Bin Jia. The capacity drop caused by the combined effect of theintersection and the bus stop in a CA model [J]. Physica A,2007,385:645-658.
    [63]Xiao-mei Zhao, Zi-you Gao, Ke-ping Li. The capacity of two neighbour intersectionsconsidering the influence of the bus stop [J]. Physica A,2008,387:4649–4656.
    [64]李庆定,董力耘,戴世强.公交车停靠诱发交通瓶颈的元胞自动机模拟[J].物理学报,2009,58(11):7584-7590.
    [65]贾斌,李新刚,姜锐,高自友.公交车站对交通流影响模拟分析.物理学报[J],2009,58(10):6845-6851.
    [66]葛宏伟.城市公交停靠站点交通影响分析及优化技术研究[D].南京:东南大学交通学院,2006.
    [67]杨静.多线路公交车站能力计算方法研究[D].北京:北京交通大学交通学院,2010
    [68]姚荣涵,王殿海,李丽丽.机动车车头时距的韦布尔修正模型[J].吉林大学学报:工学版,2009,39(2):331-335.
    [69]王殿海.交通流理论[M].北京:人民交通出版社,2002:13-19.
    [70]龚光鲁.概率论与数理统计[M].北京:清华大学出版社,2006:102-136.
    [71]D. I. Robertson, R. D. Bretherton. Optimizing Networks of Traffic Signals in Real Time-TheSCOOT Method [J]. IEEE Transactions on Vehicular Technology,1991,40(1):11-15
    [72]Parkinson, T., and I. Fisher. TCRP Report13: Rail Transit Capacity. TRB, National ResearchCouncil, Washington D.C.,1996.
    [73]Atkinson, W. G.. Canadian Transit Handbook. Canadian Urban Transit Association, Toronto,Ontario, Canada,1993.
    [74]Capacities and Limitations of Urban Transportation Modes: An Informational Report.Institute of Traffic Engineers, Washington, D.C.,1965.
    [75] Pushkarev, B., and J. Zupan. Where Rail Transit Works. Regional Plan Association, NewYork, N.Y.,1978.
    [76]杨晓光,徐辉,龙科军,谭振霞.公交停靠站对相邻车道通行能力的影响[J].系统工程,2009,27(8):74-79.
    [77]杨孝宽,曹静,宫建.公交停靠站对基本路段通行能力影响[J].北京工业大学学报:工学版,2008,34(1):65-71.
    [78]Koshy R Z, Arasan V T. Influence of bus stops on flow characteristics of mixed traffic [J].Journal of Transportation Engineering,2005,131(8):640-643.
    [79]陈永恒,葛兴,王殿海.双车道路段公交车辆对交通流延误影响模型[J].吉林大学学报:工学版,2009,39(3):576-581.
    [80]中华人民共和国建设部.城市道路设计规范(CJJ37-90)[S].北京:中国建筑工业出版社,1991.
    [81]胡文婷,陈峻,万霞.基于对交通流影响分析的直线式公交站选型优化[J].西南交通大学学报,2010,45(1):130-135.
    [82]杨晓光,徐辉,王健等.港湾式公交停靠站设置条件研究[J].中国公路学报,2011,24(1):96-102.
    [83]柴茜,陈绍宽,毛保华.考虑拥堵的快速路直线式公交站线路容纳能力[J].吉林大学学报:工学版,2009,39(2):58-62.
    [84]杨孝宽,曹静,宫建.公交停靠站对基本路段通行能力影响[J].北京工业大学学报:工学版,2008,34(1):65-71.
    [85]陈宽民,严宝杰.道路通行能力分析[M].北京:人民交通出版社,2003:201-205.
    [86]Fernandez R. Modeling public transport stops by microscopic simulation [J]. TransportationResearch Part C.2010,18:856–868
    [87]Hall R W, Daganzo C F. Tandem tolls booths for the Golden Gate Bridge[J]. Journal of theTransportation Research Board,1983(905):7-14.
    [88]胡江碧,王维利,张寿然.高速公路小客车驾驶员安全注视特性分析[J].西南交通大学学报,2012,47(2):299-305.
    [89]Gartner N H, Carroll J M, Ajay K R. Revised Monograph on traffic Flow Theory [M].Washington D C: The Federal Highway Administration,1996:89-105.
    [90]O.J. Boxma, D. Perry. A queueing model with dependence between service and interarrivaltimes [J]. European Journal of Operational Research,2001,128:611-624.
    [91]J.W. Cohen. The Single Server Queue [M]. North-Holland, Amsterdam,1982.
    [92]王炜,过秀成.交通工程学[M].南京:东南大学出版社.2011:16-20.
    [93]徐涛.数值计算方法[M].吉林:吉林科技出版社,1998:73-84.
    [94]何选森.随机过程与排队论[M].长沙:湖南大学出版社,2010:2-13.
    [95]Franklin et al. Feedback Control of Dynamic Systems[M]. New Jersey: Prentice Hall.2002.
    [96]Gross, D., Shortle, J.F., Thompson, J.M., Harris, C.M.. Fundamentals of Queueing Theory,fourth ed [M]. John Wiley&Sons, Inc., Hoboken, New Jersey,2008.
    [97]De Cea, J., Fernández, E., Dekock, V., Soto, A., and Friez, T.(2003).“ESTRAUS: Acomputer package for solving supply-demand equilibrium problems on multimodal urbantransportation networks with multiple user classes.”Proc., Transportation Research BoardAnnual Meeting, Washington, DC.
    [98]De Cea, J., and Fernández, J. E.(1993).“Transit assignment for congested public transportsystems: An equilibrium model.”Transp. Sci.,27(2),133-147.
    [99]Dell’Olio, L., Moura, J. L., and Ibeas, A.(2006).“A bi-level mathematical programmingmodel to locate bus stops and optimize frequencies.” Transportation Research Record1971,Transportation Research Board, Washington, DC,23-31.
    [100] Fernández, R.(1998).“Modelling bus stop interactions.” Ph.D. thesis, Univ. of London,London.
    [101] Goldberg, D. E., and Richardson, J. T.(1987).“Genetic algorithms with sharing formultimodal function optimization. Genetic algorithms and their applications.”Proc.,2ndInt. Conf. on Genetic Algorithms and Their Applications, L. Erlbaum Associates, Hillsdale,NJ,41-49.
    [102] Holland, J.(1975). Adaptation in natural and artificial systems, University of MichiganPress, Ann Arbor, MI.
    [103]鹿应荣,杨印生,吕锋.基于模糊聚类分析的车辆优化调度[J].吉林大学学报(工学版),2006,36(2):147-151.
    [104]祁宏生,王殿海,宋现敏.路网交通状态平衡控制方法[J].吉林大学学报(工学版),2012,42(5):1185-1190.
    [105] Yafeng Yin, Genetic-algorithms-based approach for bi-level programming models [J].Journal of Transportation Engineering,2000,1262(2):115-120.