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http://dx.doi.org/10.12815/kits.2018.17.6.173

Integration and Decision Algorithm for Location-Based Road Hazardous Data Collected by Probe Vehicles  

Chae, Chandle (Dept. of Road Transport, The Korea Transport Institute)
Sim, HyeonJeong (Dept. of Road Transport, The Korea Transport Institute)
Lee, Jonghoon (Dept. of Road Transport, The Korea Transport Institute)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.17, no.6, 2018 , pp. 173-184 More about this Journal
Abstract
As the portable traffic information collection system using probe vehicles spreads, it is becoming possible to collect road hazard information such as portholes, falling objects, and road surface freezing using in-vehicle sensors in addition to existing traffic information. In this study, we developed a integration and decision algorithm that integrates time and space in real time when multiple probe vehicles detect events such as road hazard information based on GPS coordinates. The core function of the algorithm is to determine whether the road hazard information generated at a specific point is the same point from the result of detecting multiple GPS probes with different GPS coordinates, Generating the data, (3) continuously determining whether the generated event data is valid, and (4) ending the event when the road hazard situation ends. For this purpose, the road risk information collected by the probe vehicle was processed in real time to achieve the conditional probability, and the validity of the event was verified by continuously updating the road risk information collected by the probe vehicle. It is considered that the developed hybrid processing algorithm can be applied to probe-based traffic information collection and event information processing such as C-ITS and autonomous driving car in the future.
Keywords
Road hazardous information; GPS; Algorithm; Map-matching;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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