基于交通流状态的城市道路燃油经济性模型研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
近年来随着城市化进程的加快,机动车保有量的迅猛增长,导致交通能耗在社会总能耗中所占比例逐年提高。如何提高城市道路燃油经济性,建设节能环保、低碳、可持续发展的道路交通系统成为越来越迫切的课题。
     论文依托黑龙江省自然科学基金(E200940),从交通流状态对城市道路燃油经济性影响入手,深入研究城市道路燃油经济性理论与方法,为基于燃油经济性的路网规划、路网改造及交通管理与控制提供重要的理论基础。
     论文在分析现有燃油经济性模型及其理论方法的基础上,从燃油经济性影响机理入手,分析交通流状态对城市道路燃油经济性的影响。以路段、交叉口为基本研究单元,分别建立相应的燃油经济性模型,并利用实地采集的燃油消耗和交通流数据,对所建理论模型进行标定及实证性研究。以考虑燃油经济性广义出行费用下的路径选择模型为纽带,在路网单元燃油经济性模型基础上,建立路径、OD对、路网燃油经济性模型。最后以哈尔滨市某一局域路网为例,分析其路网燃油经济性,验证模型的正确性和合理性。
     在深入分析车辆燃油消耗测试方法的基础上,选取Corrsys-Datron CDS-DFL1车载燃油测量系统进行测试。从试验方法、试验路线、试验车辆和驾驶员确定、采样间隔设定及实验流程设计等方面详细设计车辆燃油消耗及道路交通流数据采集试验方案。利用实地测试、VISSIM仿真两种技术手段获取路段、交叉口不同交通流状态及信号控制方案下的燃油消耗量及交通流数据并对数据进行预处理。
     从交通流状态角度分析路段、交叉口的燃油经济性影响因素,分别从影响机理及实测数据角度分析饱和度、平均速度对路段燃油经济性的影响,分析饱和度、平均速度、绿信比对交叉口燃油经济性的影响,探究影响路段、交叉口燃油经济性的本质因素。研究结果表明,路段燃油经济性的本质影响因素是饱和度,交叉口燃油经济性的本质影响因素是饱和度和绿信比。
     在剖析现有燃油经济性评价指标局限性的基础上,提出经济油耗饱和度概念,定义道路燃油经济性指数。针对不同类别路段、交叉口分别建立基于饱和度的路段燃油经济性模型及基于饱和度和绿信比的交叉口燃油经济性模型,并给出道路燃油经济性分级的建议标准值,最后对所建立的燃油经济性模型进行实例应用,计算得到哈尔滨市不同类别路段、交叉口经济油耗饱和度。
     在路网单元燃油经济性模型研究的基础上,综合考虑燃油经济性、行程时间(或延误)及行程时间可靠性(或延误波动)三因素的费用,分别定义路段和交叉口的广义出行费用函数,以不同的加权系数反映出行者对待不同出行费用因素的态度,并对出行费用指标进行无量纲化处理以消除出行费用指标量纲不统一的影响。在此基础上建立基于广义出行费用的随机平衡分配模型。此外,为准确分析路网燃油经济性,分别定义路径、OD(Origin Destination)对、路网燃油经济性,合理解析路段、交叉口、路径、OD对、路网燃油经济性之间的关系,建立路径、OD对、路网燃油经济性模型。以哈尔滨市某局部区域路网为例进行燃油经济性分析,验证所建模型的有效性与实用性。
With the accelerated process of urbanization in recent years, registered number of automobiles is in a rapid growth, which has made the transportation energy in the proportion of total energy consumption increase year by year. How to improve the fuel economy in urban road and construct the energy-saving environment protection, sustainable development transport systems become an increasingly pressing issue.
     From the traffic flow status, the fuel economy in urban road was systematically studied in this paper supported by the Natural Science Foundation of Heilongjiang Province, China(E200940). Fuel economy based on traffic flow status was further studied in order to providing the theoretical base for the establishment of evaluation system of urban road network fuel economy, road network planning, network transformation and traffic management which are based on fuel economy.
     Corresponding fuel economy models were established through analysis for fuel economy influence mechanism on condition that segment and intersection were regarded as the elementary unit on the basis of analyzing the existing fuel economy model and its theory. Model calibration and empirical research were done by using the fuel consumption and traffic flow data collected in field. The fuel economy models of route, OD pair and road network were established respectively, based on network unit fuel economy model and the route choice model on the basis of generalized travel cost function considering fuel economy. A partial road network in Harbin was selected as an example to analyze the network fuel economy and to verify the correctness and rationality.
     Based on the analysis of fuel consumption measurement methods, the Corrsys-Datron CDS-DFL1 fuel consumption measurement system was selected. The fuel consumption and traffic flow data observation program was designed from the determination of test methods, test line, the identification of test vehicle and driver, the setting of sampling interval and the test process. The filed observation and VISSIM simulation were used to get the fuel consumption and traffic flow data of roads and intersections under different traffic state and signal control program. The impact factors of roads and intersections fuel economy were analyzed from the traffic flow angle. Saturation, split and average speed on the impact of intersections fuel economy and saturation, average speed on the impact of road segments fuel economy were analyzed from the theoretical and experimental data point, respectively. The essence impact factors of road segments and intersections fuel economy were also explored in this paper. The results manifested that the essence impact factor of road segments fuel economy was saturation, and the essence impact factors of intersections fuel economy were saturation and split.
     On the basis of analyzing the limitations of the existing fuel economy estimation index, the economy fuel saturation was introduced to propose the road fuel economy index. The fuel economy models for different kinds of road segments and intersections were established based on saturation, saturation and split, respectively. The recommended grading standard value for road fuel economy was put forward. Finally, the above fuel economy models were applied to the partial road network in Harbin. The economy fuel saturation of different road segments and intersections in Harbin was calculated.
     Based on the study of the network unit-roads, intersections fuel economy models, the fuel economy, travel time (or delay) and travel time reliability (or delay fluctuations) were considered, and the generalized travel cost function of roads and intersections were defined, respectively. The cost indicators were processed to be a dimensionless quantity to eliminate the impact of the cost indicators of non-uniform dimension. The SUE (Stochastic User Equilibrium) model was established on the basis of generalized travel cost. In order to evaluate the road network fuel economy accurately, the path, OD (Origin Destination), network fuel economy was defined, respectively. The corresponding mathematical models were established by analyzing the relationship among the road, intersection, path, OD and road network fuel economy. The above models were applied to the fuel economy analysis for partial road network in Harbin, the results show that the models established in this paper are effective and appliciable.
引文
[1] Van Mierlo J, Maggetto G, VAN DE BURGWAL E, et al. Driving Style and Traffic Measures - Influence on Vehicle Emissions and Fuel Consumption[D]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2004, 218(1): 43-50.
    [2] Veurman J, Gense N L J, Wilmink I R, et al. Emissions at Different Conditions of Traffic flow[J]. Advances in Transport, Urban Transport VIII: Urban Transport and the Environment in the 21st Century, 2002: 571-580.
    [3] Jeffry J E, Davia L G., Alberto J S. An Analysis of Transportation Projects in Developing Country[J].Transportation, 1988: 15(3): 163-189.
    [4] Bester C J. Effect of Pavement Type and Condition on the Fuel Consumption of Vehicles[J]. Transportation Research Record, 1984, (1000): 28-32.
    [5] Biggs D C. Fuel Consumption Estimation using ARFCOM.[C]//14th Australian Road Research Board Conference, Canberra Australia. 1988.
    [6] Teng H, Yu L, Qi Y. Statistical Micro-scale Emission Models Incorporating Acceleration and Deceleration[C]//81st Annual Meeting, Transportation Research Board, Washington D.C. 2002.
    [7] Smit R, Brown A L, Chan Y C. Do Air Pollution Emissions and Fuel Consumption Models for Roadways Include the Effects of Congestion in the Roadway Traffic Flow[J] Environmental Modelling and Software, 2008, 23(10~11): 1262-1270.
    [8]王炜,项乔君,常玉林,等.城市交通系统能源消耗与环境影响分析方法[M].北京:科学出版社, 2002.
    [9] Ahman M. Primary Energy Efficiency of Alternative Powertrains in Vehicles[J]. Energy, 2001, 26: 973-989.
    [10] Andre, Michel. Driving Cycles Development: Characterization of the Methods [C]// International Fuels & Lubricants Meeting & Exposition, May 1996, Dearborn, MI, USA, Session: International Fuels & Lubricants Meeting & Exposition, 1996, Paper Number: 961112.
    [11] Post K, Kent J H, Tomlin J, et al. Fuel Consumption and Emission Modeling by Power Demand and a Comparison with Other Models[J]. Transportation Research A. 1984, 18(3): 191-213.
    [12] Akcelik R. Efficiency and Drag in the Power-Based Model of Fuel Consumption [J]. Transportation Research B, 1989, 23(5): 376-385.
    [13] Barth M, An F, Younglove T, et al. Comprehensive Modal Emission Model (CMEM), version2.02, User,s Guide[M]. Wenzel 2001.
    [14] Nam E K, Giannelli R. Fuel Consumption Modeling of Conventional and Advanced Technology Vehicles in the Physical Emission Rate Estimator(PERE), Draft[R]. EPA420-p-05-001. U.S. Environmental Protection Agency. 2005:11-24.
    [15] Brooker A, Haraldsson K. ADVISOR Documentaition. NREL. 2002: 21-32.
    [16] Chau K T, Wong Y S, Chan C C. EVSIM A PC-based Simulation Tool for an Electric Vehicle Technology Course[J]. International Journal of Electrical Engineering Education, 2000, 37(2): 67-79.
    [17] Silva C M, Farias T L, Christopher Frey H, et al. Evaluation of Numerical Models for Simulation of Real-world Hot-stabilized Fuel Consumption and Emissions of Gasoline Light-duty Vehicles[J]. Transportation Research Part D, 2006,(11): 377-385.
    [18] Christopher Frey H, Rouphail N M, Zhai H B, et al. Comparing Real-world Fuel Consumption for Diesel and Hydrogen Transit Buses and Implication for Emissions[J]. Transportation Researeh part D. 2007, (12): 281-291.
    [19] Silva C M, Farias T L, Christopher Frey H, et al. Evaluation of Numerical Models for Simulation of Real-world Hot-stabilized Fuel Consumption and Emissions of Gasoline Light-duty Vehicles[J]Transportation Research Part D. 11(2006): 377-385.
    [20] Tong H Y, Hung W T, Cheung C S. On-road motor vehicle emissions and fuel consumption in urban driving conditions[J]. Journal of Air and Waste Management Association, 2000, 50(4): 543-554.
    [21] Ahn K. Microscopic Fuel Consumption and Emission Models[D]. Virginia: Virginia Polytechnic Institute and State University, 1998: 50-75.
    [22] Simpson A. Parametric Modelling of Energy Consumption in Road Vehicles[D]. Ph. D. dissertation, School of Information and Electrical Engineering, The University of Queensland, Australia, 2005: 17-32.
    [23] Cappiello A, Chabini I. A Statistical Model of Vehicle Emissions and Fuel Consumption[C]//The IEEE 5th International Conference on Intelligent Transportation Systems 3-6 September 2002, Singapore. 2002: 801-809.
    [24]高磊.基于城市道路工况的燃油消耗模型研究[D].长春:吉林大学硕士学位论文, 2007: 2-11, 25-30.
    [25]潘公宇.汽车加速工况燃油消耗量的计算方法[J].专用汽车, 1996, 3: 15-17.
    [26]项乔君,王炜,陆键.城市交通系统汽车燃油消耗宏观预测方法[J].土木工程学报, 2004, 9(9): 104-107.
    [27]项乔君.城市交通系统汽车燃油消耗研究[D].南京:东南大学博士学位论文, 2000:54-112, 9-22.
    [28]章后忠,潘玉利,程珊珊,等.建立四类代表车型的理论油耗模型[J].华东公路, 2002, (6): 62-66.
    [29]王健,王晓原,王刚.公路燃油消耗统计模型的建立与实证研究[J].山东师范大学学报(自然科学版), 2004, 19(4): 13-16.
    [30]艾国和.典型城市道路车辆燃油消耗研究[D].武汉:武汉理工大学硕士学位论文, 2005.
    [31]周育峰,张浩然.路面表面特性与汽车油耗关系研究[J].公路, 2005, (1): 30-36.
    [32]凌建群.载重车油耗计算方法与分析[J].柴油机设计与制造, 2006, 14(1): 24-25.
    [33]贺新.基于机动车比功率(VSP)的油耗模型研究[D].北京工商大学硕士学位论文, 2007.
    [34]宋国华,于雷,王子千里.用于道路交通燃油经济性评价的实用模型[J].汽车工程, 2008, 30(2): 470-476.
    [35] Dijkstra E W. A note on two problems in connection with graphs[J]. Numerische Mathmatic, 1959(1): 269-271.
    [36] Daganzo C F, Sheffi Y. On stochastic models of traffic assignment[J]. Transportation Science, 1977, 11: 253-274.
    [37]张杨.不确定环境下城市交通中车辆路径选择研究[D].成都:西南交通大学博士学位论文, 2006: 6-13.
    [38] Wie B W, Tobin R L, Friesz T L, et al. A discrete time, nested cost operator approach to the dynamic network user equilibrium[J]. Transportation Science, 1995, 29: 79-92.
    [39] Chen T Y, Chang H L, Tzeng G H. Usng a weight-assessing model to identify route choice criteria and inofmration eeffcts[J]. Transportation Research Part A, 2001, 35: 197-224.
    [40] Hunag H J, Lma W H K. Modeling and solving the dnymaic user equilibrium route and departure time choice problem in network with queues[J]. Transportation Research Part B, 2002, 36(3): 253-273.
    [41] Chen A, Tatineni M, Lee D H, et al. The Effect of Route Choice Models on Estimating Network Capacity Reliability[J]. Transportation Research Record 2000, (1733): 493-513.
    [42] Lam W H K, Zhou J, Sheng Z H. A capacity restraint transit assignment with elastic line frenquency [J]. Trnasportation Research Part B, 2002, 36(10): 919-938.
    [43] Lo H K, Tung Y K. Network with Degradable Links: Capacity Analysis and Design. Transportation Research B. 2003, 37(4): 345-363.
    [44]裴玉龙,郎益顺.基于转换OD的路径选择模型研究[J].哈尔滨工业大学学报, 2003, 35(4): 483-487.
    [45]黄海军.运量分布与运量配流组合模型的研究[D].北京:北京航空航天大学博士学位论文, 1992.
    [46]黄海军.城市交通动态网络建模与交通行为研究[J].管理学报, 2005, 2(1): 18-22.
    [47] Shao H, Lam W H K, Tam M L. A Reliability-based Stochastic Traffic Assignment Model for Network with Multiple User Casses under Uncertainty in Demand[J]. Networks and Spatial Economics, 2006, 6(3): 173-204.
    [48] Ericsson E, Larsson H, Brundell-Freij K. Optimizing Route Choice for Lowest Fuel Consumption-Potential Effects of A New Driver Support Tool[J]. Transportation Research Part C. 2006, 14(6): 369-383.
    [49] Kyoungho A, Hesham R. The effects of route choice decisions on vehicle energy consumption and emissions. Transportation Research Part D. 2008,13(3): 151-167.
    [50]于春荣.最小费用原则下的运输路径选择[J].长春大学学报, 2008, 18(5): 21-24.
    [51] Tavares G, Zsigraiova Z, Semiao V, et al. Optimisation of MSW Collection Routes for Minimum Fuel Consumption Using 3D GIS modeling[J]. Waste Management, 2009, 29(3): 1176-1185.
    [52]石京,陶立.实时交通信息提供对驾驶员路径选择行为影响量化分析[J].武汉理工大学学报(交通科学与工程版), 2010, 34(4): 639-643.
    [53] Asakura Y. Requirements for Transport Network Flow Models Used in Reli- ability Analysis[J]. International Journal of Critical Infrastructures, 2007, 3(3-4): 287-300.
    [54] Lim Y. Traffic Assignment with the Turning Movements at Signal Intersection[C] //Proceedings of the 1998 Conference on Traffic and Transportation Studies, ICTTS, Beijing, China, 1998. Reston, VA, United States, ASCE. 1998: 369-378.
    [55]贺振欢,杨肇夏.城市交通用户出行费用评价方法的研究[J].技术经济, 2003, (1): 63-65.
    [56]赵黎明,王磐.交通网络规划中的出行费用研究[J].河北工业大学学报, 2003, 32(6): 54-59.
    [57]陈建林,刘海旭,程学庆,等.基于行程时间可靠性的多类用户交通分配模型.西南交通大学学报. 2007, 42(1): 115-119.
    [58]刘海旭.城市交通网络可靠性研究[D].西南交通大学博士论文. 2004, 10: 1-10.
    [59]陈建林,刘海旭,程学庆,等.基于行程时间可靠性的多类用户交通分配模型[J].西南交通大学学报, 2007, 42(1): 115-119.
    [60]冷军强.冰雪条件下城市路网行程时间可靠性[D].哈尔滨:哈尔滨工业大学博士学位论文, 2010: 27-30.
    [61] CarteníA, Punzo V. Travel time cost functions for urban roads: A case study in Italy[J]. WIT Transactions on the Built Environment, 2007, (96): 233-243.
    [62]孙茜.基于广义出行费用的城市道路交通控制方法研究[D].合肥:合肥工业大学硕士学位论文, 2010: 31-44.
    [63] Tian Q, Yang H, Huang H J. Novel travel cost functions based on morning peak commuting equilibrium[J]. Operations Research Letters, 2010, 38(3): 195-200.
    [64] Guo S P, Hsu C I. Impacts of transportation external cost pricing and transit fare reductions on household mode/route choices and environmental improvements[J]. Journal of Urban Planning and Development, 2010, 136(4): 339-348.
    [65] De Palma André, Marchal Fabrice. Analysis of travel cost components using large-scale, dynamic traffic models[J]. Transportation Research Record, 1999(1676): 177-183.
    [66]庄毅胜.混合动力客车城市公交行驶工况条件下的能耗测试研究[D].武汉:武汉理工大学硕士学位论文, 2010: 24-28.
    [67]孙剑,刘好德,李克平.城市干道交通信号协调控制仿真优化[J].同济大学学报(自然科学版), 2009, 37(11): 1467-1471.
    [68]张富兴.城市车辆行驶工况的研究[D].武汉:武汉理工大学硕士学位论文. 2005: 19-22.
    [69]陈杰,徐红.抽样调查中样本量的设计和计算[J].武汉职业技术学院学报, 2006, 5(1): 118-120.
    [70]王云鹏,刘瑞昌,祖力,等.基于汽油含碳量的碳平衡法模型[J].公路交通科技, 2004, 21(12): 126-129.
    [71]王云鹏,沙学锋,李世武,等.机动车道路排放的实时测试系统开发及试验研究[J].公路交通科技, 2005, 22(8): 149-151.
    [72]徐志敏,刘美生,卿燕萍.汽车底盘测功机的原理及检测[J].中国测试技术, 2004, 30(13): 9-12.
    [73]曾科,王敏毅,王陈生,等.智能化瞬时流量油耗仪的研制[J].仪表技术与传感器, 1995, (5):20-24.
    [74] Corrsys-Datron CDS-DFL1/CDS-DFL-WT user manual [M]. CORRSYS- DATRON Sensorysteme GmbH. Wetzlar, Germany. 2004: 10-13.
    [75]张富兴.城市车辆行驶工况的研究[D].武汉:武汉理工大学硕士学位论文, 2005: 1-6.
    [76] Kishi Y, Katsuki S, Yoshikawa Y, et al. A Method for Estimating Traffic Flow Fuel Consumption - using Traffic Simulations[J]. JSAE Review, 1996, 17(3): 307-311.
    [77] Chen K, Yu L. Microscopic Traffic-Emission Simulation and Case Study for Evaluation of Traffic Control Strategies[J]. Journal of Transportation Systems Engineering and Information Technology, 2007, 7(1): 93-99.
    [78]孙剑,杨晓光,刘好德.微观交通仿真系统参数校正研究[J].系统仿真学报, 2007, 19(1): 48-51.
    [79]章玉,于雷,赵娜乐,等. SPSA算法在微观交通仿真模型VISSIM参数标定中的应用[J].交通运输系统工程与信息, 2010, 10(4): 44-49.
    [80] Noland R B. Fuel Economy and Traffic Fatalities: Multivariate Analysis of International Data[J]. Energy Policy, 2005, 33(17): 2183-2190.
    [81] Boriboonsomsin K, Barth M. Impacts of Road Grade on Fuel Consumption and Carbon Dioxide Emissions Evidenced by Use of Advanced Navigation Systems[J]. Transportation Research Record, 2009, (2139): 21-30.
    [82] Liao T Y, Machemehl R B. Aggregate Fuel Consumption Model at Signalized Intersections[C]//Proceedings, Annual Conference-Canadian Society for CivilEngineering, Canadian Society for Civil Engineering 1998 Annual Conference Proceedings 2nd Transportation Specialty Conference. 1998, 4: 61-74.
    [83] Song G H, Yu L, Wang Z Q L. Aggregate Fuel Consumption Model of Light-duty Vehicles for Evaluating Effectiveness of Traffic Management Strategies on Fuels[J]. Journal of Transportation Engineering. 2009, 135(9): 611-618.
    [84] Greene D L, Goeltz R, Hopson J, et al. Analysis of In-use Fuel Economy Shortfall by Means of Voluntarily Reported Fuel Economy Estimates[J]. Transportation Research Record, Energy and Environmental Concerns 2006 Including 2006 Thomas B. Deen Distinguished Lecture. 2006, (1983): 99-105.
    [85] Saffarzadeh M, Rezaee-Arjroody A. Economic Model for Fuel Consumption of Road Transportation[C]//Proceeding of the 2003 Energy and Environment, Proceedings of the 2003 Energy and Environment, 2003: 1-6.
    [86] Stathopoulos F G, Noland R B. Induced Travel and Emissions from Traffic Flow Improvement Projects[J]. Transportation Research Record, 2003, (1842): 57-63.
    [87] Evans L, Herman R. Automobile Fuel Economy on Fixed Urban Driving Schedules[J]. Transportation Science, 1978, 12(2): 137-152.
    [88] Michalski R, Szczyglak P. Controlling Vehicle Fuel Consumption in Urban Traffic[C]//Proceedings of the 12th International Conference Transport Means 2008, 2008: 13-15.
    [89] Ahn K, Rakha H, Trani A. Estimating Vehicle Fuel Consumption and Emissions Based on Instantaneous Speed and Acceleration Levels[J]. Journal of Transportation Engineering, 2002, 128( 2): 182-190.
    [90] Tong H Y. Vehicular emissions and fuel consumption at urban traffic signal controlled junctions[D]. Hong Kong: The Hong Kong Polytechnic University, 2001: 10-15.
    [91] Liao T Y, Machemehl R B. Urban Network Vehicle Speed, Acceleration, and Fuel Consumption Profile Models[C]//Machemehl. Proceedings, Annual Conference - Canadian Society for Civil Engineering, Canadian Society for Civil Engineering, 1998 Annual Conference Proceedings, 2nd Transportation Specialty Conference. 1998, 4: 47-60.
    [92] Liao T Y, Machemehl R B. Development of an Aggregate Fuel Consumption Model for Signalized Intersections[J]. Transportation Research Record, 1998, (1641): 9-18.
    [93] Ergeneman M, Sorusbay C, Goktan A. Development of a Driving Cycle for the Prediction of Pollutant Emissions and Fuel Consumption[J]. International Journal of Vehicle Design, 1997, 18(3-4): 391-399.
    [94] Smit R, McBroom J. Development of a New High-resolution Traffic Emissions and Fuel Consumption Model[J]. Road and Transport Research, 2009, 18(4): 3-13.
    [95] Kirby H R, Hutton B, McQuaid R W, et al. Modelling the Effects of Transport Policy Levers on Fuel Efficiency and National Fuel Consumption[J]. Transportation Research Part D: Transport and Environment, 2000, 5(4): 265-282.
    [96] Chen K S, Wang W C, Chen H M, et al. Motorcycle Emissions and Fuel Consumption in Urban and Rural Driving Conditions. Science of the Total Environment. 2003, 312(1-3): 113-122.
    [97] Park S, Rakha H. Continuous Flow Intersections: A Safety and Environmental Perspective[C]//IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010. 2010: 85-90.
    [98]项乔君.城市交通系统汽车燃油消耗研究[D].南京:东南大学博士学位论文, 2000: 3-10.
    [99] Ikeda R, Kawashima H, Oda T. Determination of Traffic Signal Settings for Minimizing Fuel Consumption[C]//IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. 1999: 272-277.
    [100] Wang Y, Fwa T F, Cheu R L. Effect on Area Traffic Management Scheme on Fuel Consumption-Simulation Analysis of Singapore's ERP Measures[C]// Proceedings of the International Conference on Applications of Advanced Technologies in Transportation Engineering, Proceedings of the Eighth International Conference on Applications of Advanced Technologies in Transportation Engineering, 2004: 218-222.
    [101]涂钊.基于浮动车数据的轻型机动车道路油耗算法研究[D].北京:北京交通大学硕士学位论文, 2009: 2-10.
    [102] Ahn K. Microscopic Fuel Consumption and Emission Models[D]. Virginia: Virginia Polytechnic Institute and State University, 1998: 50-75.
    [103] West H B, McGill N R, Sluder S. Development and validation of light-duty vehicle modal emissions and fuel consumption values for traffic sodels[R].Federal Highway Agency Report FHWA RD-99-068, 1999.
    [104] Fwa T F, Ang B W. Estimating automobile fuel consumption in urban traffic[J]. Transportation Research Record, 1992 (1366): 3-10.
    [105] Akcelik R, Bayley C. Derivation of fuel consumption models[C]//Presented to Joint S AE-A/ARRB Second Conference on Traffic, Energy and Emissions,1982:19-21.
    [106]陈锁祥,陈一昌,周健.高新技术对综合交通重大影响的特尔菲法定量分析[J].武汉交通职业学院学报, 2004,6(3): 1-5.
    [107] Rakha H, Van Aerde M, Ahn A, et al. Requirements for Evaluating Traffic Signal Control Impacts on Energy and Emissions Based on Instantaneous Speed and Acceleration Measurements[J]. Transportation Research Record, 2000, (1738): 56-67.
    [108] Li X G, Li G Q, Yang X G, et al. Signal Timing of Intersections Using Integrated Optimization of Traffic Quality, Emissions and Fuel Consumption: A note[J]. Transportation Research Part D: Transport and Environment, 2004, 9(5): 401-407.
    [109]张卫华,王炜,尹红亮,等.信号交叉口汽车燃油消耗的研究[J].东南大学学报(自然科学版), 2002, 32(2): 249-251.
    [110]项乔君,王炜,陆键.信号交叉口汽车燃油消耗分析方法研究[J].公路交通科技, 2004, 21(12): 100-102.
    [111] Stevanovic A, Stevanovic J, Zhang K, et al. Optimizing Traffic Control to Reduce Fuel Consumption and Vehicular Emissions: Integrated approach with VISSIM, CMEM, and VISGAOST[J]. Transportation Research Record, 2009, (2128): 105-113.
    [112] Metz N, Schlichter H, Schellenberg H. Positive Effects of Traffic Control System on Fuel Consumption and Exhaust Emission on the German A9 Autobahn[J]. International Journal of Vehicle Design, 1997, 18(3-4) : 354-367.
    [113] Sánchez M, Juan J, Kim D. Predicting Traffic Lights to Improve Urban Traffic Fuel Consumption[C]//2006 6th International Conference on ITS Telecommunications, Proceedings. 2007: 331-336.
    [114] Lu S. Sensitivity of Static Traffic User Equilibria with Perturbations in Arc Cost Function and Travel Demand[J]. Transportation Science, 2008, 42(1): 105-123.
    [115] Lo H K, Chen A. Traffic Equilibrium Problem with Route-specific Costs:Formulation and Algorithms[J]. Transportation Research Part B, 2000, 34(6): 493-513.
    [116] Lu J G, Yang F, Ban X G, et al. Moments Analysis for Improving Decision Reliability Based on Travel Time[J]. Transportation Research Record, 2006, (1968): 109-116.
    [117] Luo Q Y, Juan Z C, Sun B F, et al. Method Research on Measuring the External Costs of Urban Traffic Congestion. Journal of Transportation Systems Engineering and Information Technology. 2007, 7(5): 9-12.
    [118] Chen Y W, Tzeng G H. Using Fuzzy Integral for Evaluating Subjectively Perceived Travel Costs in A Traffic Assignment Model European[J]. Journal of Operational Research, 2001, 130(3): 653-664.
    [119] Asakura Y, Kashiwadani M. Road Network Reliability Caused by Daily Fluctuation of Traffic Flow[C]//Proceedings of the 19th PTRC Summer Annual Meeting, Brighton, 1991: 73-84.
    [120]邵春福.交通规划原理中国铁道出版社, 2008: 174-177, 100-105.
    [121]郝海,踪家峰.系统分析与评价方法[M].北京:经济科学出版社, 2007: 70-100.
    [122]裴玉龙,李宏萍,蒋贤才.城市交通规划[M].北京:中国铁道出版社, 2007: 122-129.
    [123]曾麦脉.城市应急路网疏散规划的模型与算法研究[D].武汉市:华中科技大学博士学位论文, 2010: 20-22.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700