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Traffic Safety Evaluation Based on Vision and Signal Timing Data

Title
Traffic Safety Evaluation Based on Vision and Signal Timing Data
Author
서원호
Keywords
image processing; vehicle detecting; traffic safety; pedestrian safety
Issue Date
2017-12
Publisher
Engineering and Technology Innovation
Citation
proceedings of Engineering and Technology Innovation, v. 7, Page. 37-40
Abstract
With the advancement of recent image processing technologies numerous imaging applications have been developed to collect traffic information. In this study, image processing technology is applied to roadway safety to detect and measure the conflict between pedestrians and vehicular traffic and investigate the correlations between the conflict and signal timing data. By using an image processing technique, pedestrian and vehicular movements are detected and the distance between these two are calculated to detect conflicts between them. In this study, Machine Learning techniques are utilized to facilitate more accurate and efficient detection. It is assumed that the intersection is accident-prone if conflicts between pedestrian and vehicular traffic appear more frequently than other intersections and correlations exist depending on the status of signal timing, for example at the end of green signal for a particular movement. This approach is expected to identify accident-prone intersections without actually experiencing crashes; therefore, this would potentially reduce social costs associated with traffic accidents.
URI
http://ojs.imeti.org/index.php/PETI/article/view/990https://repository.hanyang.ac.kr/handle/20.500.11754/103861
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > TRANSPORTATION AND LOGISTICS ENGINEERING(교통·물류공학과) > Articles
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