Safety assessment of the buffer section of maintenance work zone is crucial for the safety of maintenance staff and travelling vehicles. To make up for the limitations of current methods to do timely safety assessment, this study proposes a fast method based on naturalistic driving, automatic segmentation technology, and spatial clustering analysis. Firstly, collect vehicle behaviour data by naturalistic driving method; secondly, extract fragments in the data containing traffic conflict information using the automatic segmentation technology; thirdly, cluster these fragments by kernel density analysis to find the location of the high‐density point of traffic conflict (Otc); finally, calculate the stopping sight distance (SSD) that vehicles need to stop completely from Otc, measure the distance L ꞌ between Otc and the work area, and compare SSD, Lꞌ with the buffer section length L, then the safety of the buffer section of maintenance work zone can be assessed. Practice has proved that this novel method can collect the behaviour data of vehicles passing through quickly and flexibly, and do a timely safety assessment for the zone, thus can better meet the actual needs of maintenance.
Novel fast safety assessment method for the buffer section of maintenance work zone
IET Intelligent Transport Systems ; 13 , 5 ; 773-779
2019-05-01
7 pages
Article (Journal)
Electronic Resource
English
spatial clustering analysis , vehicle behaviour data , buffer section length , road safety , road traffic , safety assessment method , kernel density analysis , maintenance work zone , traffic engineering computing , traffic conflict information , maintenance engineering , travelling vehicles , automatic segmentation technology , pattern clustering , naturalistic driving method , road vehicles
Novel fast safety assessment method for the buffer section of maintenance work zone
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