Journal of South China University of Technology(Natural Science) >
Freeway Traffic State Identification Based onToll Data
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)
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.
Key words: freeway; fuzzy C-means; network toll; travel time; traffic state
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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