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http://dx.doi.org/10.12815/kits.2017.16.5.72

A Study of Measuring Traffic Congestion for Urban Network using Average Link Travel Time based on DTG Big Data  

Han, Yohee (Dept. of Transportation Eng., Univ. of Seoul)
Kim, Youngchan (Dept. of Transportation Eng., Univ. of Seoul)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.16, no.5, 2017 , pp. 72-84 More about this Journal
Abstract
Together with the Big Data of the 4th Industrial Revolution, the traffic information system has been changed to an section detection system by the point detection system. With DTG(Digital Tachograph) data based on Global Navigation Satellite System, the properties of raw data and data according to processing step were examined. We identified the vehicle trajectory, the link travel time of individual vehicle, and the link average travel time which are generated according to the processing step. In this paper, we proposed a application method for traffic management as characteristics of processing data. We selected the historical data considering the data management status of the center and the availability at the present time. We proposed a method to generate the Travel Time Index with historical link average travel time which can be collected all the time with wide range. We propose a method to monitor the traffic congestion using the Travel Time Index, and analyze the case of intersections when the traffic operation method changed. At the same time, the current situation which makes it difficult to fully utilize DTG data are suggested as limitations.
Keywords
Big Data; Digital Tachograph; Link Average Travel Time; Travel Time Index; Traffic Congestion Monitoring; DTG;
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Times Cited By KSCI : 1  (Citation Analysis)
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