交通运输系统工程与信息 ›› 2011, Vol. 11 ›› Issue (3): 176-181.

• 案例分析 • 上一篇    下一篇

基于PEMS的MOBILE与COPERT排放模型对比研究

程颖1,于雷*1,2,王宏图3,郝艳召1,宋国华1,2   

  1. 1.北京交通大学 交通运输学院,北京 100044;2.德克萨斯南方大学,美国休斯敦,TX 77004; 3.长春市城乡规划设计研究院,长春 130061
  • 收稿日期:2010-06-09 修回日期:2010-09-28 出版日期:2011-06-25 发布日期:2011-07-18
  • 作者简介:程颖(1988-),女,湖北孝感人,硕士生
  • 基金资助:

    国家自然科学基金资助项目(50878017);教育部博士点基金(20060004028/T06C10020);北京市科技计划重大资助项目(D08050902920801)

Comparative Study of MOBILE and COPERT Emission Models Based on PEMS

CHENG Ying1, YU Lei1,2, WANG Hong-tu3, HAO Yan-zhao1, SONG Guo-hua1,2   

  1. 1.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China; 2. School of Science and Technology, Texas Southern University, Houston, TX 77004, USA;3.Changchun Institute of Urban Planning & Designing, Changchun 130021, China
  • Received:2010-06-09 Revised:2010-09-28 Online:2011-06-25 Published:2011-07-18

摘要: 为研究符合我国国情的机动车尾气排放宏观模型,本文首先系统地介绍了MOBILE与COPERT模型的算法原理、特点及应用;然后描述了车载尾气检测设备(PEMS)的数据采集及分析方法,并利用车载尾气设备检测的实测数据对两模型进行了参数校正;最后从排放因子和道路等级角度将两模型输出的预测值与实测值进行了对比分析. 结果表明,在测试车辆总行驶周期内以及各道路等级下,COPERT模型的NOx、HC和CO排放因子预测值较MOBILE模型的预测结果与实测值更为接近;在测试车辆总行驶周期内,前者误差比后者分别小19.2%、40.8%和22.0%. 最后得出结论:在预测中国机动车尾气排放时,COPERT模型较MOBILE模型更为适用.

关键词: 交通工程, PEMS数据, 排放模型, 排放因子, 道路等级

Abstract: In order to investigate macro-scale vehicle emission models suitable for China, this paper systematic introduces the principles, characteristics and applications of the MOBILE and COPERT models at first, then describes the methods of data collecting and dealing of PEMS equipment, and finally modifies the models’ input parameters based on the data collected by using PEMS equipment. The emission factors for different road types from the two models are compared with the measurements from real-world tests. The results show that, during the whole vehicle driving cycle and on all classified roads, the predicted emission factors of NOx, HC and CO from the COPERT Model are closer to the measured values than those from the MOBILE Model. Specifically the errors of the former are 19.2%, 40.8% and 22.0% less than the errors of the latter during the whole vehicle driving cycle. In the end, it comes into a conclusion that COPERT model is more suitable for predicting vehicle emission in China than MOBILE model.

Key words: traffic engineering, PEMS data, emission model, emission factors, road type

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