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http://dx.doi.org/10.7470/jkst.2014.32.5.441

Development of an Evaluation Index for Identifying Freeway Traffic Safety Based on Integrating RWIS and VDS Data  

Park, Hyunjin (Department of Transportation and Logistics Engineering, Hanyang University)
Joo, Shinhye (Department of Transportation and Logistics Engineering, Hanyang University)
Oh, Cheol (Department of Transportation and Logistics Engineering, Hanyang University)
Publication Information
Journal of Korean Society of Transportation / v.32, no.5, 2014 , pp. 441-451 More about this Journal
Abstract
This study proposes a novel performance measure, which is referred to as Hazardous Spacing Index (HSI), to be used for evaluating safety of traffic stream on freeways. The basic principle of the proposed methodology is to investigate whether drivers would have sufficient stopping sight distance (SSD) under limited visibility conditions to eliminate rear-end crash potentials at every time step. Both Road Weather Information Systems (RWIS) and Vehicle Detection Systems (VDS) data were used to derive visibility distance (VD) and SSD, respectively. Moreover, the K-Nearest Neighbors (KNN) method was adopted to predict both VD and SSD in estimating predictive HSIs, which would be used to trigger advanced warning information to encourage safer driving. The outcome of this study is also expected to be used for monitoring freeway traffic stream in terms of safety.
Keywords
k nearest neighbors(KNN); road weather information system(RWIS); visibility distance; stopping sight distance; traffic safety;
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Times Cited By KSCI : 3  (Citation Analysis)
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