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Indexed by:会议论文

Date of Publication:2012-01-01

Included Journals:CPCI-S

Volume:15

Page Number:361-366

Abstract:Real-time risk analysis is the critical point of monitoring, warning and re-routing HazardousMaterial Transportation (HMT). In this paper, we propose a real-time risk analysis approach based on Internet of Things (IoT), which dynamically evaluates the risk at discrete time pointsduring the whole transportation process. Probabilities of accidents are determined by both statistic accident data and real-time monitoring data collected by IoT techniques. To determine the potential consequences of accidents, Areal Location of Hazardous Atmospheres (ALOHA) is used to simulate the accident scenarios and estimate the influence areas. The population exposed can be calculated with the interface of Intelligent Traffic System (ITS). Furthermore, our approach provides a more accurate way to dynamically evaluate the risk of HMT.