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http://dx.doi.org/10.5392/JKCA.2020.20.04.025

Road Speed Prediction Scheme Considering Traffic Incidents  

Park, Songhee (충북대학교 정보통신공학과)
Choi, Dojin (충북대학교 정보통신공학과)
Bok, Kyoungsoo (원광대학교 SW융합학과)
Yoo, Jaesoo (충북대학교 정보통신공학과)
Publication Information
The Journal of the Korea Contents Association / v.20, no.4, 2020 , pp. 25-37 More about this Journal
Abstract
As social costs of traffic congestion increase, various studies are underway to predict road speed. In order to improve the accuracy of road speed prediction, unexpected traffic situations need to be considered. In this paper, we propose a road speed prediction scheme considering traffic incidents affecting road speed. We use not only the speed data of the target road but also the speed data of the connected roads to reflect the impact of the connected roads. We also analyze the amount of speed change to predict the traffic congestion caused by traffic incidents. We use the speed data of connected roads and target road with input data to predict road speed in the first place. To reduce the prediction error caused by breaking the regular road flow due to traffic incidents, we predict the final road speed by applying event weights. It is shown through various performance evaluations that the proposed method outperforms the existing methods.
Keywords
Road Speed Prediction; Traffic Congestion; Traffic Incident Analysis; Traffic Prediction; Traffic Data Analysis;
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