Traffic & Transportation Engineering

Freeway Traffic State Identification Based onToll Data

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  • 1.State Key Laboratory of Automotive Simulation and Control,Jilin University,Changchun 130022,Jilin,China;2.College of Traffic,Jilin University,Changchun 130022,Jilin,China
杨庆芳(1966-),女,教授,博士生导师,主要从事智能交通运输系统研究.

Received date: 2014-05-04

  Revised date: 2014-08-10

  Online published: 2014-11-17

Supported by

国家科技支撑计划项目(2014BAG03B03);山东省省管企业科技创新项目(20122150251-5)

Abstract

Current freeway traffic data resources have not been fully utilized,and therefore the freeway toll systemwith high management and construction costs only has such primary functions as collecting traffic information vehiclerecord and network toll,which leads to a great waste of traffic data resources.In order to solve this problem,atravel time estimation method is designed based on freeway network toll data,and the FCM(Fuzzy C-Means)cluste-ring method is adopted to identify the freeway traffic state according to the velocity changes of big and small vehi-cles.Then,the two methods are verified on the VISSIM platform.The results show that the first method can obtainhigh-quality link travel time data and the second method can accurately identify the freeway traffic state,whichhelps to update history data and can provide an accurate basis for freeway management departments to make deci-sions.

Cite this article

ang Qing-fang Ma Ming-hui Liang Shi-dong Mei Duo . Freeway Traffic State Identification Based onToll Data[J]. Journal of South China University of Technology(Natural Science), 2014 , 42(12) : 51 -57,76 . DOI: 10.3969/j.issn.1000-565X.2014.12.008

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