Study Data from University of Central Florida Update Knowledge of Risk Management

2020 DEC 31 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- New research on Risk Management is the subject of a report. According to news reporting out of Orlando, Florida, by NewsRx editors, research stated, “Pedestrian safety plays an important role in the transportation system. Intersections are dangerous locations for pedestrians with mixed traffic.”

Financial support for this research came from Advanced Transportation and Congestion Management Technologies Deployment (ATCMTD) grant from Federal Highway Administration (FHWA).

Our news journalists obtained a quote from the research from the University of Central Florida, “This paper aims to predict the near-accident events between pedestrians and vehicles at signalized intersections using PET (Post Encroachment Time) and TTC (Time to Collision). With automated computer vision techniques, mobility features of pedestrians and vehicles are generated. Extreme Value Theory (EVT) is used to model PET and minimum TTC values to select the most appropriate threshold values to label pedestrians’ near-accident events. A Gated Recurrent Unit (GRU) neural network is further used to predict these events. The established model reaches an AUC (Area Under the Curve) value of 0.865 on the test data set.”

According to the news editors, the research concluded: “Moreover, the proposed model can also be applied to develop collision warning systems under the Connected Vehicle environment.”

This research has been peer-reviewed.

For more information on this research see: Modeling Pedestrians’ Near-accident Events At Signalized Intersections Using Gated Recurrent Unit (Gru). Accident Analysis & Prevention, 2020;148. Accident Analysis & Prevention can be contacted at: Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Accident Analysis & Prevention - http://www.journals.elsevier.com/accident-analysis-and-prevention/)

Our news journalists report that additional information may be obtained by contacting Shile Zhang, University of Central Florida, Dept. of Civil Environmental & Construction Engineering, Orlando, FL 32816, United States. Additional authors for this research include Mohamed Abdel-Aty, Yina Wu and Ou Zheng.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.aap.2020.105844. 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.

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