Real-time risk assessment model for hazmat release accident involving tank truck

Abstract

The main objective of this paper is to develop a real-time risk assessment model for havzmat release accidents involving a tank truck. The proposed model can make full use of multiple real-time data and static data for the purpose of quantifying the risk of hazmat release faced by the tank truck at each moment in the driving process. In order to achieve the above function, we improve the risk quantification method in ARAMIS (Accidental Risk Assessment Methodology for Industries System) for real-time risk assessment. For quantifying the possibility, a fuzzy comprehensive evaluation method based on fuzzy rules is used to synthesize multiple evaluation indicators; For quantifying the intensity and vulnerability, a “potential impact zone” model based on the Gaussian plume model is proposed to describe the influence range of toxic gas leak, and point of interest (POI) data is used to identify critical targets. Through the analysis of the road test results, the effectiveness of the proposed model is verified. The significance of this study is to provide a real-time risk quantification tool for tank trucks, which can be programmed and embedded into various driving auxiliary or safety management systems in the future.