吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (增刊1): 59-65.

• 论文 • 上一篇    下一篇

跟驰模型参数标定及验证方法

王殿海1, 陶鹏飞1, 金盛2, 马东方1   

  1. 1. 吉林大学交通学院, 长春 130022;
    2. 浙江大学建筑工程学院, 杭州 310058
  • 收稿日期:2010-09-30 出版日期:2011-09-01 发布日期:2011-09-01
  • 作者简介:王殿海(1962 ),男,教授.博士生导师.研究方向:交通控制与交通流理沦.E-mail:wangdianhai@ sohu.com.
  • 基金资助:

    国家自然科学基金面上项目(70971053);“973”国家重点基础研究发展规划项目(2006CB705505)

Method of calibrating and validating car-following model

WANG Dian-hai1, TAO Peng-fei1, JIN Sheng2, MA Dong-fang1   

  1. 1. College of Transportation, Jilin University, Changchun 130022, China;
    2. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
  • Received:2010-09-30 Online:2011-09-01 Published:2011-09-01

摘要:

为解决跟驰模型建模过程中参数标定问题及确定合适的模型效果评价方法,首先介绍了应用遗传算法对参数进行标定的过程,并以GM模型为例,利用实测数据对其参数加以具体确定。在此基础上,从检验跟驰模型与实际情况在整体上的契合程度出发,综合考虑模型效果,提出了对跟驰模型的具体检验方法,并对标定参数后的GM模型进行了验证。研究结果表明,本文提出的模型检验方法克服了以往常用跟驰模型验证方法的片面性,对绝大多数跟驰过程,GM模型的模拟输出与实测值间的综合误差在15%以内,而非仅通过加速度对比得到的较大误差。

关键词: 交通运输工程, 跟驰模型, 参数标定, 模型验证, GM模型

Abstract:

For solving the problem of car-following model parameter calibration and determining the appropriate evaluation method of model simulative effect,discussed the method of calibrating parameters with application of genetic algorithm,and estimated the parameters of GM model with measured data.Base on the results of calibration and the meaning of parameters,designed the specific method to test effect of car-flowering model simulation considering the fit level of the whole car-following process between the car-following model simulation and actual driving situation,and validated the calibrated GM model.The results of research show that,the test method presented solve the limitation of validating the car-following model before,and can measure the effect of model more comprehensive and objective.Use this method to validate the GM model,the results show that,the integrated error between simulation output and measured data is less than 15% for most process,not the big error from the only contrast of acceleration.

Key words: engineering of communications and transportation, car-following model, parameter calibration, model verification, GM model

中图分类号: 

  • U491


[1] Mark Brackstone,Mike Mcdonald.Car-following:ah istorical review
[J].Transprotation Research PartF ,1999,2:181-196.

[2] Banihan Gunay.Car following theory with laterald is comfort
[J].Transportation Research Part B, 2007,41(7):722-735.

[3] 周立军,王殿海,李卫青。人工神经网络及粒子群优化算法在跟驰模型中的应用
[J].吉林大学学报:工学版,2009,39(4):896-899. Zhou Li-jun,Wang Dian-hai,Li Wei-qing.Application of artificial neural network and particle swarmo ptimization in car-following model
[J].Journal of Jilin University(Engineering and Technology Edition),2009,39(4):896-899.

[4] Yaron Hollander,Ronghui Liu.The principles of calibrating traffic microsimulation models
[J].Transportation,2008,35(3):347-362.

[5] Arne Kesting,Martin Treiber.Calibrating car-following models by using trajectory data:Methodological study
[J].Transportation Research Record, 2008,2088:148-156.

[6] Byungkyu Park,Jongsun Won,Ilsoo Yun.Application of microscopic simulation model calibration andv alidation procedure:A case study of coordinated actuated signal system
[J].Journal of the Transportation Research Board,2006,1978:113-122.

[7] Timothy Oketch,Marzenna Carrick.Calibration andv alidation of a micro-simulation model in network analysis
[C] ∥Proceedings 84th Transportation Research Board Annual Meeting.CD-ROM.,Washington D C,2005.

[8] May Keller.Non-integer car following models
[J].Highway Research Record,1967,199:19-32.

[9] Ozaki.Reaction and anticipation in the car followingb ehavior
[C] ∥Proceedings of the12th InternationalS ymposium on the Theory of Traffic Flow andT ransportation,1993:349-366.

[10] Gazis,Herman,Rothery.Nonlinear follow the leader models of traffic flow
[J].Operations Research. 1961,9(4):913-933.

[11] U S Department of Transportation.Federal highwaya dministration next generation simulation programv ehicle trajectory file data
[DB/OL].(2007-1-10)
[2009-10-9].http://www.fhwa.dot.gov.

[12] 罗亚中,袁端才,唐国金。求解非线性方程组的混合遗传算法
[J].计算机力学学报,2005,22(1):109-114.Luo Ya-zhong,Yuan Duan-cai,Tang Guo-jin.Hybridge netic algorithm for solving systems of nonlinear equations
[J].Chinese Journal of Computation Mechanics,2005,22(1):109-114.

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