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An Approach to the Real-Time Risk Analysis for Hazardous Material Transportation

  • Linlin Liu
  • Lijun Sun
  • Jianming Li
  • Chao Li
  • Xiangpei Hu
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 15)

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.

Keywords

Global Position System Smart Grid Hazardous Material Vehicle Density Accident Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Linlin Liu
    • 1
  • Lijun Sun
    • 1
  • Jianming Li
    • 1
  • Chao Li
    • 1
  • Xiangpei Hu
    • 1
  1. 1.Institute of Systems EngineeringDalian University of TechnologyDalianChina

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