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http://dx.doi.org/10.12652/Ksce.2011.31.1D.043

A Study on the Development of a Technique to Predict Missing Travel Speed Collected by Taxi Probe  

Yoon, Byoung Jo (인천대학교 도시과학대학 도시환경공학부)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.31, no.1D, 2011 , pp. 43-50 More about this Journal
Abstract
The monitoring system for link travel speed using taxi probe is one of key sub-systems of ITS. Link travel speed collected by taxi probe has been widely employed for both monitoring the traffic states of urban road network and providing real-time travel time information. When sample size of taxi probe is small and link travel time is longer than a length of time interval to collect travel speed data, and in turn the missing state is inevitable. Under this missing state, link travel speed data is real-timely not collected. This missing state changes from single to multiple time intervals. Existing single interval prediction techniques can not generate multiple future states. For this reason, it is necessary to replace multiple missing states with the estimations generated by multi-interval prediction method. In this study, a multi-interval prediction method to generate the speed estimations of single and multiple future time step is introduced overcoming the shortcomings of short-term techniques. The model is developed based on Non-Parametric Regression (NPR), and outperformed single-interval prediction methods in terms of prediction accuracy in spite of multi-interval prediction scheme.
Keywords
taxi probe; real-time missing travel speed; historical data; npr; travel speed estimation;
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