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路面破损对车辆行驶模式及交通流运行特性影响研究
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摘要
国内外关于路面破损的产生及维护有较多研究,但其对驾驶员驾驶行为、车辆行驶模式、交通流运行等方面影响鲜有理论成果。本文以揭示路面破损对道路交通运行影响为目标,以理论研究服务实践应用为准则,充分结合现有道路交通相关规范,内容涵盖驾驶员生理心理、驾驶行为、交通流理论等方面,利用概率统计、流体力学理论等相关理论方法,对路面破损产生的车辆运行、交通流运行特性进行研究。
     本文梳理了现有路面破损致因,对于城市道路中检查井盖及其周边路面破损特殊性及普遍存在的原因进行了分析。鉴于现有的路面破损表征指标,其制定目的是为了衡量路面养护维修标准,侧重针对整个路段路面,而非针对单个路面破损严重程度的描述,仅以破损密度来衡量,忽视了路面破损位置对车辆运行影响的重要性,难以明确单个路面破损对车辆行驶影响的严重程度,故而提出车道完整宽的概念,采用路面破损的长、宽、深及车道完整宽等指标作为描述路面破损严重程度表征指标,并对路面破损进行定性和定量的等级划分。
     根据论文研究内容,分析所需数据,制定路面破损严重程度和道路条件调查、路面破损对车辆行驶轨迹和模式影响的随车调查、路面破损对车辆行驶的轨迹和模式影响的定点调查、驾驶员对破损的态度调查等主要调查设计方案。对采集数据的分析处理关键技术和方法进行介绍,据此对所得数据进行记录、分类、筛选和分析,为论文研究奠定基础数据支持。
     鉴于驾驶员对路面破损识别的重要性,提出路面破损的静态视认性和动态视认性两个概念,用以描述路面破损可视认性。通过分析路面破损的严重程度表征指标及车辆运行状态对路面破损静态、动态视认性的影响因素进行分析,给出其测算方法,并根据不同道路等级中的平均车速,给出了相应道路等级中路面破损视认性等级划分阈值。
     分析路面破损等级对驾驶员心率的影响,找出路面破损程度与驾驶员心率变化的相关性,表明了在一般情况下,路面破损对驾驶员心理有影响,但并不显著,当驾驶员猝然发现路面破损躲避不及而产生惊恐时,驾驶员心率产生明显波动。此外,分析了驾驶员日常遭遇路面破损的频率及产生的不良情绪,定性分析了路面破损对车辆行驶安全性和舒适性影响。
     分析车辆行驶模式关键影响因素:路面破损严重程度、驾驶员发现路面破损时的距离、车速、车道完整宽、交通环境和驾驶员生理心理素质;根据路面破损引起的车辆行驶轨迹和速度的不同,将车辆行驶模式分为本车道行驶、占道行驶、变道行驶三种轨迹模式和原速行驶、一般减速行驶、非连续型行驶三种速度模式;利用回归分析的方法,得出不同路面破损等级下车辆行驶轨迹模式和速度模式的概率分布模型,并对相关参数进行了标定。分析车速、交通量及车型等因素对车辆行驶模式概率分布模型的影响。
     对路面破损路段连续车流车头时距进行实测,利用移位负指数分布模型和Weibull分布模型研究其分布规律,并据其计算相应路段通行能力,提出路面破损道路通行能力修正系数的概念,确定路面破损对路段通行能力的影响。分析路面破损对车流密度、速度的影响,利用流体力学理论,分析了路面破损路段车流波的波速及其集结和消散特性;利用层次分析法从安全性、经济性、舒适性和环保性4个方面综合评价了路面破损对交通流运行影响。
     本文旨在揭示路面破损→驾驶员特性→驾驶行为特性→车辆行驶模式→交通流运行特性之间的内在联系,完善路面破损条件下的驾驶行为、交通流运行、道路通行能力等方面理论,从交通运行效率的角度为道路服务性能评价和养护提供理论依据。
Currently, there are many studies on the cause and maintenance of pavementdistress at home and abroad, but the theoretical results about the influence of drivingbehavior, vehicle driving mode and traffic running style on the condition of pavementdistress is few.The aim of this paper is to reveal the influence of pavement distress ontraffic running, with the guidelines “Theory is based on practice and serves parctice”.Considering the existing road traffic related specifications, this paper’s content whichcovering the driver’s physiological&psychological, driving behavior, traffic flowtheory, studied the vehicle running mode and traffic flow characteristics at pavementdistress road section, by probability and statistics, fluid mechanics theory method.
     This paper reviewed the existing pavement distress cause, and analyzed thereasons of inspection well covers and its surrounding pavement breakage. Accordingto the existing pavement distress index, its purpose is to develop a measure ofpavement maintenance and repair standards, and it is aimed at the whole road section,rather than to describe individual pavement distress’s severity. The density indexignored the pavement distress location’s effecting on traffic running, and it’s difficultto clear a single pavement distress’s influence to the traffic, therefore conceptlane-complete-wide is put forword. Taking pavement distress’s long, wide, deep andlane-complete-wide as the indexes to describe the pavement distress’s severity, andthe qualitative and quantitative classification is given.
     According to the study content, analyse the required data, make surveys aboutthe pavement distress’s severity, road condition, the vehicle trajectory, the vehiclerunning mode, and so on. This paper also investigated the drivers’ attitudes topavement distress. The key technology and methods to deal with data was introduced,and then to record, classify, screening, and analyse the data,in order to deeplyresearch.
     In view of the importance of the pavement distress’s identification, proposed twoconcepts of pavement distress’s “static visual recognition“and “dynamic visualidentification” to describe the characteristics of pavement distress identification.Through the analysis of pavement distress’s severity index and the running state ofvehicles, the influence factors of the pavement distress’s static and dynamic visualidentification are analyzed. The calculation method about pavement distress’sidentification is given. According to the average speed in different level road, theclassification threshold value of “static visual recognition“and “dynamic visualidentification” are given.
     Then, this paper analysed the influece of pavement distress’s level on driver'sheart rate, found out the reletionship of pavement distress’s level and drivers' heartrate changes, it shows that pavement distress effect on driver's psychological is notsignificant, but when the driver found the pavement distress suddenly and had a fear,his heart rate produced significant fluctuations. Analysd the frequency ofencountering pavement distress and the driver’s adverse mood, qualitatively analysepavement distress effect on vehicle driving safety and comfort.
     Analysed the key factors affecting vehicle mode: pavement distress severity, thevisual recognitionof pavement distress, speed, lane-complete-wide, traffic environment and drivers physiological&psychological quality; according to vehicletrajectory and speed change which are caused by pavement distress, give3trackmode: in the original lane, occupation lanes, change lanes, give3speed mode: theoriginal speed, decelerate, discontinuous running.bby using regression analysismethod, get the vehicle trajectory and speed probability distribution model ondifferent pavement distress levels, and the related parameters were calibrated.Analyse the effect of vehicle speed, traffic volume and vehicle type on the vehiclerunning probability distribution model.
     At the pavement distress road sections, the continuous traffic flow headways aremeasured, using the Displaced Negative Exponential Distribution model and Weibullmodel to study its distribution, and calculate the traffic capacity of road section withpavement distress, put forward traffic capacity correction factor, determine thepavement distress’s effect on capacity. Analyze the traffic density and velocitychange, using the theory of fluid mechanics, analyze the traffic flow wave’s velocityand its accumulation and dissipation characteristic at pavement distress roadsection.From4aspects of safety, economy, comfort and environmental protection,comprehensively analyze the impact of pavement distress on traffic running by AHPmothod.
     This paper aims to reveal the internal connection among pavement distress,driver characteristics, driving behavior characteristics, driving mode and trafficrunning characteristics,to improve driving behavior, traffic flow, traffic capacitytheory on conditions of pavement distress. Provide a basic theory for roadperformance evaluation and maintenance from the traffic efficiency perspective.
引文
[1] Sutter Lawrence Leo. An approach to characterizing materials related distress inportland cement concrete pavements[D]. Michigan Technological University.2001
    [2] Koubaa Amir. A new methodology for assessing the frost resistance of concreteaggregates[D]. University of Minnesota.1997
    [3] Xu Qinghua.Repair Techniques of the Asphalt's Potholes and Simulate Analysisof Computer[D]. Chang'an University.2009
    [4] Luhr David R., Fernando Emmanuel G. Microcomputer procedure to analyze axleload limits and pavement damage. Transportation research record,1987:88~98
    [5] Barros Ricardo T. Analysis of pavement damage attributable to overweight trucksin New Jersey. Transportation Research Record,1985:1~9
    [6] Hutchinson B.G. Pavement Damage Attributable to Four Axle Single Unit Trucks.Final rept. Jul87-Oct88,1989:178p
    [7] Rauhut J.B., Lytton R. L., Darter M. I.. Pavement Damage Functions for CostAllocation: Executive Summary. Rept. For29Sep80-20Jun84,1984:39p.
    [8] Kapoormel K., Prozzi J. A. Methodology for Quantifying Pavement DamageCaused by Different Axle and Load. SWUTC/05/167827-1,2005:112p
    [9] Al-Qadi Imad.L, Brandon Thomas.L, Smith Timothy E, Lacina Bruce A. How dogeosynthetics improve pavement's performance[C]. Proceedings of the MaterialsEngineering Conference,1994:606~616
    [10]Barker W. R., Chou Y. T. Improving the Distribution and Reducing theMagnitude of Pavement Damage. Final rept. Jul77-Apr79,1980:68p
    [11]Calibration and validation of asphalt concrete pavements distress models for2002Design Guide. Mohamed Mousad El-Basyouny, Ph.D. Arizona StateUniversity.2004
    [12]Parsons T. J. Analysis of pavement damage attributable to overweight trucks innew jersey. Transportation Research Record,1985:1~9
    [13]Youd T.Leslie. Pavement damage due to liquefaction. Technical Council onLifeline Earthquake Engineering Monograph,1999(16):276~285
    [14]Grivas Dimitri A., Shen Yung-Ching. Fuzzy set approach for pavement damageassessments. Civil Engineering Systems,1991(8)1:37~47
    [15]Prozzi Jorge A., Hong Feng. Optimum statistical characterization of axle loadspectra based on load-associated pavement damage. International Journal ofPavement Engineering,2007(8)4:323~330
    [16]Khan K.M.Development of pavement Distress Identification Manual forMotorway(M-2) Pakistan. Efficient Transportation and Pavement Systems:Characterization, Mechanisms, Simulation, and Modeling-Proceedings of the4th International Gulf Conference on Roads,2008:865~873
    [17]Karan M.A, Haas Ralph, Kher Ramesh.Effects of Pavement Roughness onVehicle Speed. Transportation Research Record,1976:122~127
    [18]Mcgee H. W., Hooper K. G., Hughes W. E., Benson W. Highway Design andOperations Standards Affected by Driver Characteristics. Rept. For May81-May83,1983:120p
    [19]Fred L. Mannering. Male/female driver characteristics and accident risk: Somenew evidence. Http://dx.doi.org/10.1016/0001-4575(93)90098-H,1993
    [20]Abdelwahab Hassan T., Abdel-Aty Mohamed A. Log-linear analysis of therelationship between alcohol involvement and driver characteristics in trafficcrashes.2000Annual Conference Abstracts-Canadian Society for CivilEngineering,2000:321
    [21]Spyropoulou Ioanna, Papadimitriou Eleonora, Yannis George, Golias John.Travel patterns of three distinct driver age groups in Greece. Proceedings of theInstitution of Civil Engineers: Transport,2007:117~124
    [22]Shibata Naoki, Obinata Goro, Kajiwara Yasuhiro.Evaluation of driverdistractions by model-based approach-effect of visual distractions. Review ofAutomotive Engineering,2006:109~115
    [23]Torbj rn Tronsmoen. Differences between formal and informal practical drivertraining as experienced by the learners themselves.Transportation Research PartF,2011(14):176~188
    [24]Lerner N., Ratte D., Walker J. Driver Behavior at Rail-Highway Crossings. Finalrept. Aug88-May89:200p
    [25]Braitman Keli A, mccartt Anne T. Characteristics of older drivers who self-limittheir driving. Annals of Advances in Automotive Medicine-52nd AnnualScientific Conference,2008:245~253
    [26]Jinxian Weng, Qiang Meng. Effects of environment,vehicle and driivercharacteristics on risky driving behavior at work zones. Safety Science,2012(50):1034~1042
    [27]S.Kulanthayan, Ahmad Razak, Ellen Schenk. Driver characteristics associatedwith child safety seat usage in Malaysia: A cross-sectional study. AccidentAnalysis and Prevention,2010(42):509~514
    [28]Jovanis P. P., Wu K. F., Chen C. Hours of Service and Driver Fatigue: DriverCharacteristics Research. Final report,2011:88p
    [29]Shino Motoki, Hosokawa Takashi, Uji Nobutaka, Kamata Minoru. Study ondriving characteristics of older drivers and its relevance factor. Nihon KikaiGakkai Ronbunshu C,2005:2790~2797
    [30]Mcdonald S. T. Tri-Level Study: Modification Task4: Final Report on theRelationships between Driver Characteristics and Accident Causation. Final rept.28Feb-30Jun77:DOT-HS-034-3-535-T-4,1977:63p
    [31]Ikeda Atsushi, Katou Tetsuya, Kinoshita Masahiro, Aihara Masayuki.Study ofdriver characteristics using driving simulator considerations on difference inaccident avoidance performance due to age. JSAE Review,2002:219~222
    [32]J.M.G Sada Costa.A model of the driver steering behavior. The14th WorldCongress of Intenational Technical Conference on the Enhanced Safety ofVehicles,1998:497~501
    [33]Masahiro Hara, Masashi Ohta.Development the brake assist system. The16thInternational Technical Conference on the Enhanced Safety of Vehicles,1998:497~501
    [34]Jerry L.D, David M.D, Rebekah S.L et al. A comparison of High and Low AngerDrivers.Behavior Reach and Therapy,2003(41):701~718
    [35]Adams L.D. Review of the Literature on Obstacle Avoidance Maneuvers:Brakingversus Steering.1994:24
    [36]Pellecchia Antonio, Hedelbrunner Johann. Modeling real driving behaviorsthrough attractor dynamics for motivation[C]. IEEE Intelligent VehiclesSymposium, Proceedings,2004IEEE Intelligent Vehicles Symposium,2004:121~126
    [37]Redenbo Seth J., Lee Yi-Ching. Effects of cognitive and perceptual loads ondriver behavior [J]. Transportation Research Record, n2138,2009:20~27,
    [38]Prato Carlo Giacomo, Toledo Tomer, Lotan Tsippy, Taubman-Ben-Ari Orit.Modeling the behavior of novice young drivers during the first year afterlicensure[J]. Accident Analysis and Prevention, v42, n2, March2010:480-486
    [39]Malta Lucas, Miyajima Chiyomi Takeda Kazuya. A study of driver behaviorunder potential threats in vehicle traffic[C]. IEEE Transactions on IntelligentTransportation Systems, v10, n2, June2009:201~210
    [40]Tezuka Shigeki, Soma Hitoshi, Tanifuji Katsuya. A study of driver behaviorinference model at time of lane change using Bayesian Networks.Nihon KikaiGakkai Ronbunshu[R], C Hen/Transactions of the Japan Society of MechanicalEngineers, Part C, v73, n6, June2007:794~800
    [41]Kishimoto Yoshifumi, Oguri Koji. A modeling method for predicting drivingbehavior concerning with driver's past movements[C]. Proceedings of the2008IEEE International Conference on Vehicular Electronics and Safety, ICVES2008,2008:132~136
    [42]Vardaki Sophia. Investigation of actual and perceived behavior of older driverson freeways[J]. Transportation Research Record, n2078,2008:41~48
    [43]W.van Winsum, D.de Waard, K.A. Brookhuis. Lane Change Manoeuvres andSafety Margins.Transportation Research Part F,1999(2):139~149
    [44]Kontaratos Marios, Psarianos Basil, Votis Apostolos.Minimum horizontal curveradius as function of grade incurred by vehicle motion in driving mode.Transportation Research Record,1994:86~93
    [45]Ioannis G, Mstthew G.K.An International Comparative Study of Self-report DriveBehavior. Transportation Research Part F,2002:243~246
    [46]Dario D.S, Andrew L.The Time Course of a Lane Change: Driver Control andEye-Moment Behavior. Transportation Research Part F,2002:123~132
    [47]Yasushi. Driving Charateristics of the Elderly.Risk Compensation of the ElderlyDriving from the Viewpoint of Reaction Behavior.JSAE Review,1999(20):375~380
    [48]Thomas Ayres, Li Li, Doris Trahtman, Douglas Young.Passenger-side Rear-viewMirror: Driver Behavior and Safety. Inernational Journal of IndustrialErgonomics,2003(35):157~162
    [49]Guihua Yang, Beverly Jaeger, Ronald R.Mourant Driving Performance of Noviceand Experienced Driver in Lane-change Scenarios
    [50]Amata Hideomi, Miyajima Chiyomi, Nishino Takanori, Kitaoka Norihide,Takeda Kazuya. Prediction model of driving behavior based on traffic conditionsand driver types[C]. IEEE Conference on Intelligent Transportation Systems,Proceedings, ITSC,200912th International IEEE Conference on IntelligentTransportation Systems, ITSC '09,2009:747~752
    [51]Lighthill M. J., Whitham G. B.. On kinematic waves. I. Flood movement in longrivers. Proceedings of the Royal Society of London: Series A, Mathematical andPhysical Sciences,1955,229(1178):281~316
    [52]Richards, P.I.. Shock waves on the highway. Operations Research,1956,4(1):42~51
    [53]Transportation Research Board. Highway Capacity Manual2000[M].NationalResearch Council Nashington D.C. US Customary Units2000
    [54]Chiabaut N., Leclercq L., Buisson, C.. From heterogeneous drivers tomacroscopic patterns in congestion. Transportation Research Part B,2010,44(2):299~308
    [55]Daganzo, C.F.. A behavioral theory of multi-lane traffic flow. Part I: longhomogeneous freeway sections. Transportation Research Part B,2002,36(2):131~158
    [56]Daganzo, C.F.. A behavioral theory of multi-lane traffic flow. Part II: merges andthe onset of congestion. Transportation Research Part B,2002,36(2):159–169
    [57]Chen C., Petty K. F., Skabardonis A., Varaiya P. P., Jia Z.. Freeway performancemeasurement system: mining loop detector data. Transportation Research Record,2001,1748:96~102
    [58]Choe T., Skabardonis A., Varaiya P. P.. Freeway performance measurementsystem (pems): an operational analysis tool. Presented at Annual Meeting ofTransportation Research Board, Washington D. C.,2002,13~17, January
    [59]Thomas F. G., Wilfred W. R.. A method for relating type of crash to traffic flowcharacteristics on urban freeways. Transportation Research Part A,2004,38(1):53~80
    [60]N. Bellomo, C. Dogbé. On the modeling of traffic and crowds: a survey ofmodels, speculations, and perspectives. SIAM Rev.,2011,53(3):409~463
    [61]M. Dolfin, From vehicle–driver behaviors to first order traffic flow macroscopicmodels. Applied Mathematics Letters,2012,25(12):2162~2167
    [62]Xinkai Wu, Henry X. Liu. A shockwave profile model for traffic flow oncongested urban arterials. Transportation Research Part B,2011,45(10):1768~1786
    [63]Shy Bassan, Avishai Ceder. Analysis of maximum traffic flow and its breakdownon congested freeways. Physica A,2008,387(16-17):4349~4366
    [64]Erica Dalziell,Alan Nicholson. Risk and Impact Of Natural Hazards on a RoadNetwork[J]. Journal of Transportation Engineering, March/April2001:159~166
    [65]Kitatsuji Yoshinor, Katsunot Satoshi, Tsuru Masato, Takine Tetsuya, Oie Yuji.Traffic characteristics-based flow assignment method for reducing queuingdelay[C]. Proceedings of the Sixth International Conference on Networking,ICN'07,2007:41~41
    [66]Hassan Yasser. Traffic and speed characteristics on two-lane highways: FieldStudy.Canadian Journal of Civil Engineering[C], v30, n6, December2003:1042~1054
    [67]Ngoduy D.. Macroscopic effects of multianticipative driving behavior on trafficflow characteristics[J]. Transportation Research Record, n2124, p103~112,2009
    [68]Sato Toshihisa, Akamatsu Motoyuki. Influence of traffic conditions on driverbehavior before making a right turn at an intersection: Analysis of driverbehavior based on measured data on an actual road[R]. Transportation ResearchPart F: Traffic Psychology and Behaviour, v10, n5, September2007:397~413
    [69]Gallegos López afael1, Mendoza Díaz Alberto1, Velázquez Salas Armando1.Effect of the regularity of the pavement on traffic capacity on freeways andmultilane highways in Mexico[J].Carreteras,2006,4(148):35~47
    [70]Chandra Satish. Effect of Road Roughness on Capacity of Two-Lane Roads[J].Journal of Transportation Engineering,2004,3(130):360~364
    [71][48] Ben-Ediqbe Johnnie, Ferquson Neil.Extent of capacity loss resulting frompavement distress[C]. Proceedings of the Institution of Civil Engineers:Transport,2005:27~35
    [72]Manouchehr Vaziri. Traffic Behavior During Highway Maintenance AndRehabilitation[C]. Proceedings of the4th International Conference on Road&Airfield Pavement Technology,2002:1116~1120
    [73]王泽民.混凝土路面破损评价与维修对策研究[D].长安大学.2007,6
    [74]林伍湖.超载车辆对高速公路沥青路面破坏原因的分析及对策[J].华东公路.2002,2:38~40
    [75]张文涛.公路工程路基病害成因分析与治理[J].交通标准化.2011,8:46~49
    [76]邵胜子.甘肃省农村公路典型病害防治与管养对策[D].长安大学.2009,6
    [77]陈澎军,张虎伟,张辉.冻土地区路基病害防治措施现状及展望[J].山西建筑.2009,36(33):295~296
    [78]Robert N. Jester. Progress of superpave (superior performing asphalt pavement):evaluation and implementation[J]. ASTM.1997(1322)
    [79]任艳.路面破损状况标准图谱的研究[D].长安大学.2008,6
    [80]赵兰英,鲁植雄,侯占峰.路面不平度的分形分级参数研究[J].交通与计算机.2008,26(6):158~161
    [81]赵亮,胡江碧.眼动与驾驶行为的相关性分析[C].2008第四届中国智能交通年会论文集.2008,9:523~528
    [82]闫国利,田宏杰,张仙峰.汽车驾驶行为的眼动研究[J].心理科学.2005,28(5):1211-1212
    [83]王武宏,孙逢春,曹琦,刘淑艳.道路交通系统中的驾驶行为理论与方法[M].科学出版社.2001,8:159~176
    [84]司银霞.限速标志对驾驶行为影响研究[D].吉林大学.2006,6
    [85]李平凡.驾驶行为表征指标及分析方法研究[D].吉林大学.2010,12
    [86]杨少伟.汽车在立交匝道上的行驶特性及平面线形[J].西安公路交通大学学报.1998,18(3):164~167
    [87]蒋海峰,杨丰艳,韩文元,王磊.限速和警告交通标志影响下的驾驶行为特性研究[J].2009,3:25~30
    [88]刘雁飞.驾驶行为建模研究[D].浙江大学.2007,9
    [89]Gong Junfeng, Yu Zhi, Chen Ningning. An analysis of drivers' route choicebehavior in urban road networks based on GPS data[C]. International Conferenceon Transportation Engineering2007, ICTE2007,2007:515~520
    [90]李德慧,王武宏.基于驾驶行为分析的交通流中车辆跟驰建模与仿真[C].现代化道路交通管理发展与展望—第八届多国城市交通学术会议论文集.2003,10:287~293
    [91]王健.道路环境与驾驶行为[J].重庆交通院学报.1990,9(3):21~29
    [92]王丰元,薛晶.城市道路交通设施对驾驶安全性的影响研究[J].交通与计算机.2008,26(4):148~150
    [93]李永义.高速公路施工路段交通组织方案设计与评价研究[D].东南大学.2006,3
    [94]裴玉龙,张需鹏.不良汽车驾驶行为特征分析[J].交通信息与安全.2009,27(3):81~84
    [95]魏国.攻击性驾驶心理行为与交通安全的关系与对策研究[D].北京交通大学.2007,5
    [96]李德慧.快速路交通流中驾驶特性差异研究与仿真[D].北京工业大.2008,3
    [97]马国旗.城市道路交通流特征参数研究[D].北京工业大学.2004,5
    [98]郝媛.交通流随机性特征及Breakdown概率模型研究[D].同济大学.2009.3
    [99]黄雪峰.基于改进的敏感驾驶模型的交通流动力学特性研究[D].上海大学.2007,5
    [100]何红弟.城市道路交通流模拟和信号灯控制策略初探[D].上海大学.2006,4
    [101]Ren Yuanyuan, Xi Jianfeng, Jin Sheng. Study on the signal timing parameters atintersections of urban road under the condition of ice-snow weather[C].20092ndInternational Conference on Intelligent Computing Technology and Automation,ICICTA2009.787~790
    [102]Leng Junqiang, Zhang Yaping; Leng Yuquan. Assessment methodology for roadnetwork travel time reliability under ice and snowfall conditions[C]. Proceedingsof the9th International Conference of Chinese Transportation Professionals,ICCTP2009.1124~1130
    [103]冯玉英,常玉林.环形交叉口通行能力研究[J].江苏理工大学学报.2000,21(3):91~94
    [104]孟永平,邓卫,葛亮.基于车队法的双车道无控制交叉口通行能力分析[J].公路交通科技.2005,22(12):119~122
    [105]高晗,裴玉龙.道路服务水平的灰色评价方法[J].哈尔滨建筑大学学报.1999,32(5):106~108
    [106]张鹏,赵雨旸,王勇.基于层次分析法交叉口服务水平的综合评价[J].黑龙江工程学院学报.2007,21(4):35~38
    [107]Weng xiaoxiong, Cai yanfei. Analysis on Capacity of Road Traffic basedMaximum likelihood method[C]. Proceedings of the2009IEEE InternationalConference on Information and Automation June22~25,2009:540~543
    [108]卢树,陆化普.无控制交叉口通行能力计算方法[J].公路交通科技.2001,19(2):10~13
    [109]孟祥燕,王国立,李文权.环形交叉口交织段通行能力的线性规划模型[J].交通标准化.2005,144:141~143
    [110]项乔君,王炜,常玉林,周启兆.主/支路条件下交叉口通行能力综合评价[J].东南大学学报.2000,30(3):92~95
    [111]交通部公路科学研究院.重载沥青路面设计规范.2003.10
    [112]公路水泥混凝土路面设计规范.JTGD40-2011
    [113]城市道路工程设计规范. CJJ37-2012
    [114]公路沥青路面设计规范. JTG D50-2006
    [115]邵胜子.甘肃省农村公路典型病害防治与管养对策[D].长安大学,2009.6
    [116]Jitprasithsiri Siriphan; Lee Hosin;Sorcic Robert G.;Johnston Richard.Development of digital image-processing algorithm to compute unified crackindex for Salt Lake City. Transportation Research Record, n1526, p142~148, Nov1996
    [117]王栋.基于加权多宽度高斯核函数的支持向量机聚类算法研究[D].中国海洋大学.2011
    [118]城镇道路养护技术规范. CJJ36-2006
    [119]袁诚.汽车驾驶心理学.解放军出版社[M].1989,23~41
    [120]方鼎.汽车驾驶员动态视认性的试验研究[D].长安大学.2005,6
    [121]郭亚玲,杨进伟.机动车驾驶员视觉功能状态调查[J].铁道劳动安全卫生与环保.1996:23(4)
    [122]刘晓辉,刘向阳,王振伟.驾驶员的视觉特性对道路交通安全的影响研究[J].拖拉机与农用运输车.2009,36(3):59~60
    [123]胡立伟.公路交通设施驾驶容错能力分析方法研究[D].哈尔滨工业大学,2012,6
    [124]袁洁.高等级公路驾驶员视认知反应时特性的研究[D].北京交通大学,2006.6
    [125]李凤芝.攻击性驾驶行为与交通事故的关系研究[D].四川大学.2004
    [126]骆勇.道路交通中攻击性驾驶行为分析与研究[D].西南交通大学.2009
    [127]李凤芝.汽车驾驶员攻击性驾驶行为的心理因素分析[J].四川大学学报(医学版)2004,35(4):568~570
    [128]徐胜云.提高驾驶员危险识别、危险应对能力的研究[D].北京交通大学.2008.5
    [129]阎莹,刘浩学,郭忠印.不同交通流状态下驾驶员心理生理特性研究[J].同济大学学报.2008,36(10):1372~1377
    [130]沈党云,曹新涛,李兆鹏.突发情况下驾驶员生心理与道路环境模型分析[J].公交路交通科技(应用技术版).2011.7:292~296
    [131]石俊杰,王兵勇.裘刚实用交通心理学[M].中国物资出版社.1989.7
    [132]于阿信,平智广,李世锋等.楼梯运动后心率恢复与性别的关系研究[J].论著.2012,15(1A)
    [133]欧晓凌,裘刚.城市交通流信息相似性分析与研究[J].中南公路工程2003(02)
    [134]丁晓琳,王莉.中国特大城市混合交通流特性及规律研究[J].城市问题.1999(03)
    [135]Kerner,B.S.,Rehborn,H.,1997.Experimental properties of phase transitions intraffic flow[J].Physical Review E,79(20):4030~4033
    [136]王炜,过秀成.交通工程学[M].东南大学出版社.2000,10
    [137]王殿海.交通流理论[M].人民交通出版社.2001,9
    [138]陈娇.城市快速路车头时距特性分析[D].吉林大学.2012,5
    [139]姚荣涵,王殿海,李丽丽.机动车车头时距分布的韦布尔修正模型[J].吉林大学学报,2009.39(2):331~335
    [140]Fergyanto E. Gunawan. Levenberg–Marquardt iterative regularization for thepulse-type impact-force reconstruction[J].Journal of Sound and Vibration, Volume331, Issue25,3December2012, Pages5424~5434
    [141]贺星,刘永葆,孙丰瑞.基于改进Levenberg–Marquardt算法的燃气轮机特性拟合优化[J].海军工程大学学报.2012.24(4):35~40
    [142]Andreas Fischer, Pradyumn K. Shukla. A Levenberg–Marquardt algorithm forunconstrained multicriteria optimization[J]. Operations Research Letters, Volume36, Issue5, September2008, Pages643~646
    [143]Finsterle, Stefan; Kowalsky, Michael B..A truncated Levenberg-Marquardtalgorithm for the calibration of highly parameterized nonlinear models[J].Computers and Geosciences, v37, n6, p731~738, June2011
    [144]Shawash, Janti;Selviah, David R.Real-time nonlinear parameter estimation usingthe levenberg-marquardt algorithm on field programmable gatearrays[J].Transactions on Industrial Electronics, v60, n1, p170~176,2013
    [145]胡红,刘小明,杨孝宽.基于最小安全间距的应急交通疏散车辆跟驰模型[J].北京工业大学学报,2007,33(10):1070~1074
    [146]王殿海,陶鹏飞,金盛等.跟驰模型参数标定及验证方法[J].吉林大学学报(工学版).2011,41(1):59~65
    [147]路静;吴超仲;严新平.NETSIM模型的分析研究[J].交通与计算机.2003,6(21):37~39
    [148]徐慧智.车道变换行为特性及其对道路服务水平影响的研究[D].哈尔滨工业大学.2008,10
    [149]慈玉生.汽快速路匝道连接段通行能力与匝道设置研究[D].哈尔滨工业大学.2008,9
    [150]高磊.基于城市道路工况的汽车燃油消耗模型研究[D].吉林大学.2007,6
    [151]World Bank. Study of Prioritization of Highway Investments and ImprovingFeasibility Study Methodologies Pilot Study Report[M],1995

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