Researchers from Hanyang University Report on Findings in Risk Management (Development of a lane change risk index using vehicle trajectory data)

Insurance Weekly News

By a News Reporter-Staff News Editor at Insurance Weekly News -- Data detailed on Risk Management have been presented. According to news reporting originating in Ansan, South Korea, by VerticalNews journalists, research stated, "Surrogate safety measures (SSMs) have been widely used to evaluate crash potential, which is fundamental for the development of effective safety countermeasures. Unlike existing SSMs, which are mainly focused on the evaluation of longitudinal vehicle maneuvering leading to rear-end crashes, this study proposes a new method for estimating crash risk while a subject vehicle changes lanes, referred to as the lane change risk index (LCRI)."

Financial support for this research came from Development of Accident Risk Mitigating Technology for Vertical Structure Collision on Road and Road Workers.

The news reporters obtained a quote from the research from Hanyang University, "A novel feature of the proposed methodology is its incorporation of the amount of exposure time to potential crash and the expected crash severity level by applying a fault tree analysis (PTA) to the evaluation framework. Vehicle interactions between a subject vehicle and adjacent vehicles in the starting lane and the target lane are evaluated in terms of crash potential during lane change. Vehicle trajectory data obtained from a traffic stream, photographed using a drone flown over a freeway segment, is used to investigate the applicability of the proposed methodology. This study compares the characteristics of compulsory and discretionary lane changes observed in a work zone section and a general section of a freeway using the LCRI."

According to the news reporters, the research concluded: "It is expected that the outcome of this study will be valuable in evaluating the effectiveness of various traffic operations and control strategies in terms of lane change safety."

For more information on this research see: Development of a lane change risk index using vehicle trajectory data. Accident Analysis and Prevention, 2018;110():1-8. Accident Analysis and Prevention can be contacted at: Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Accident Analysis and Prevention - www.journals.elsevier.com/accident-analysis-and-prevention/)

Our news correspondents report that additional information may be obtained by contacting H. Park, Hanyang University, Dept. of Transportat & Logist Engn, Ansan 15588, South Korea. Additional authors for this research include C. Oh, J. Moon and S. Kim.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.aap.2017.10.015. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

Keywords for this news article include: Ansan, South Korea, Asia, Risk Management, Hanyang University.