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http://dx.doi.org/10.12815/kits.2022.21.2.74

A Study on Vehicle Big Data-based Micro-scale Segment Speed Information Service for Future Traffic Environment Assistance  

Choi, Kanghyeok (Dept. of Future & Smart Construction Research, Korea Institute of Civil Engineering and Building Tech.)
Chong, Kyusoo (Dept. of Future & Smart Construction Research, Korea Institute of Civil Engineering and Building Tech.)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.21, no.2, 2022 , pp. 74-84 More about this Journal
Abstract
Vehicle average speed information which measured at a point or a short section has a problem in that it cannot accurately provide the speed changes on an actual highway. In this study, segment separation method based on vehicle big data for accurate micro-speed estimation is proposed. In this study, to find the point where the speed deviation occurs using location-based individual vehicle big data, time and space mean speed functions were used. Next, points being changed micro-scale speed are classified through gradual segment separation based on geohash. By the comparative evaluation for the results, this study presents that the link-based speed is could not represent accurate speed for micro-scale segments.
Keywords
Vehicle big-data; Cooperative autonomous driving; Road link; Micro-scale speed information; Segment separation;
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Times Cited By KSCI : 4  (Citation Analysis)
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