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http://dx.doi.org/10.12815/kits.2017.16.3.59

Development of Queue Length, Link Travel Time Estimation and Traffic Condition Decision Algorithm using Taxi GPS Data  

Hwang, Jae-Seong (Dept. of Construction and Transportation Eng., Univ. of Ajou)
Lee, Yong-Ju (Dept. of Transportation Research Institute, Univ. of Ajou)
Lee, Choul-Ki (Dept. of Transportation System Eng., Univ. of Ajou)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.16, no.3, 2017 , pp. 59-72 More about this Journal
Abstract
As the part of study which handles the measure to use the individual vehicle information of taxi GPS data on signal controls in order to overcome the limitation of Loop detector-based collecting methods of real-time signal control system, this paper conducted series of evaluations and improvements on link travel time, queue vehicle time estimates and traffic condition decision algorithm from the research introduced in 2016. considering the control group and the other, the link travel time has enhanced the travel time and the length of queue vehicle has enhanced the estimated model taking account of the traffic situation. It is analyzed that the accuracy of the average link travel time and the length of queue vehicle are respectably both approximately 95 % and 85%. The traffic condition decision algorithm reflected the improved travel speed and vehicle length. Smoothing was performed to determine the trend of the traffic situation and reduce the fluctuation of the data, and the algorithms have refined so as to reflect the pass period on overflow judgment criterion.
Keywords
GPS data; Traffic condition judgement; Queue length; Traffic speed;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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