吉林大学学报(工学版) ›› 2004, Vol. ›› Issue (1): 118-121.

• 论文 • 上一篇    下一篇

基于汽车排放评估的交通环境评价方法

王云鹏1, 沙学锋1, 隗海林1, 李强2, 李珏2   

  1. 1. 吉林大学, 交通学院, 吉林, 长春, 130025;
    2. Kansas University Transportation Center, KS 66044, USA
  • 收稿日期:2003-09-10 出版日期:2004-01-01
  • 基金资助:
    国家教育部博士学科点专项基金资助项目(20020183032).

Traffic environment assessment based on automotive emission estimation

WANG Yun-peng1, SHA Xue-feng1, KUI Hai-lin1, LI Qiang2, LI Jue2   

  1. 1. College of Transportation, Jilin University, Changchun 130025, China;
    2. Kansas University Transportation Center, KS 66044, USA
  • Received:2003-09-10 Online:2004-01-01

摘要: 在分析目前国际上通用的交通规划和静态交通仿真两种评价方法的基础上,提出了利用动态交通仿真进行交通环境评价的新方法。由交通网络、交通需求、交通仿真和车辆排放4个模块组合为交通排放评价模型。该方法可以适时准确地描述车辆在交通网络中的动态运动特性,从而可对整个城市的现代交通网络进行准确的交通环境评价,还可对特定的智能运输系统技术进行环境评估。

关键词: 交通环境评价, 动态交通仿真, 汽车排放, 评价模型, 智能交通系统

Abstract: A new approach utilizing dynamic traffic simulation was proposed to assess the traffic environment based on the two current international evaluation methods,i.e., traffic management and static traffic simulation was proposed. The traffic emission evaluation system framework consists of four modules for traffic network, traffic demand, traffic simulation and automotive emission.The approach could real-time describe the automotive dynamic movement behavior in the traffic network accurately, therefore, evaluate accurately the transportation environment of city-wide modern traffic network and assess the environmental impacts of the particular intelligent transportation system.

Key words: traffic environment assessment, dynamic traffic simulation, automotive emission, assessment model, intelligent transportation system

中图分类号: 

  • X734
[1] Environmental Protection Agency (EPA).User's guide to mobile 6-mobile source emission factor model[R].EPA420-R-02-001,2002.
[2] U S Department of Transportation,Federal Highway Administration.A sampling of emissions analysis techniques for transportation control measures[R].Final Report,2000.
[3] United States Environmental Protection Agency.Assessing the emissions and fuel consumption impacts of intelligent transportation systems(ITS)[R].EPA 231-R-98-007,1998.
[4] BRZEZINSKI David J,NEWELL Terry P.A revised model for estimation of highway vehicle emissions[Z].Air & Waste Management Association Eighth Annual Conference on Emission Inventories:Living in a Global Environment,1998.
[5] DIA H.Assessing the environmental impacts of intelligent transport systems[Z].21st Conference of Australian Institutes of Transport Research,the University of Queensland,Brisbane,2000.
[6] HESHAM Rakha,MICHEL VAN Aerde, AHN K, ANTONIO A.Trani,requirements for evaluating traffic signal control impacts on energy and emissions based on instanneous speed and acceleration measurements[Z].Transportation Research Board 79th Annual Meeting,Washington,DC,2000.
[7] NICHOLAS J Cottman, HUSSEIN Dia.A methodology for modeling the environmental impacts of intelligent transport systems(ITS)[Z].22nd Conference of Australian Institutes of Transport Research.Australian National University,2000.
[8] AHN K,TRANI A A,RAKHA H A,VAN AERDE M.Microscopic fuel consumption and emission models[Z].Transportation Research Board 78th Annual Meeting,Washington,DC,1999.
[9] VAN AERDE M,HELLINGA B,BAKER M,RAKHA H.Integration:an overview of current simulation features[Z].Transportation Research Board 75th Annual Meeting,Washington,D C,1996.
[10] ALGERS S,BERNAUER E,BOERO M,BREHERET L,DI TARANTO C,DOUGHERTY M,FOX K,GABARD J.SMARTEST project deliverable D3-review of micro-simulation models[Z].The SMARTEST Project,Leeds,UK Australian Greenhouse Office(AGO) Sustainable Transport,2000.
[11] ABDULHAI B,SHEU J, RECKER W.Simulation of ITS on the Irvine FOT area using paramics 1.5 scalable microscopic traffic simulator phase 1 model calibration and validation[R].California PATH Research Report.UCE-ITS-PRR-99-12,California Berkeley,1999.
[12] BARRETT C L.Transportation analysis simulation system[Z].LA-UR-00-1725.Los Alamos National Lab,2001.
[13] 李强,缪立新.基于路径的动态交通仿真模型[J].公路交通科技,2001,18(6):65-69.
[14] LI Qiang,KURT Carl E.GIS-based itinerary planning system for multi-model and fixed-Route transit network[Z].Accepted by Mid-Continent Transportation Symposium,Ames,Iowa,2000.
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