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)


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.


Global Position System Smart Grid Hazardous Material Vehicle Density Accident Rate 
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  1. 1.
    Incident Statistics, (accessed January 12, 2012)
  2. 2.
    State Administration of Work Safety. The twelfth five-year-plan outline for Safety Production of Hazard Materials (2011), (accessed January 12, 2012)
  3. 3.
    Giglio, D., Minciardi, R., Pizzorni, D., et al.: Towards a decision support system for real time risk assessment of hazardous material transport on road. In: Proceeding IEMSS 2004 (International Environmental and Monitoring Software Society), pp. 1–6 (2004)Google Scholar
  4. 4.
    International Telecommunication Union. ITU Internet Reports 2005: The Internet of Things (2005) (accessed January 12, 2012)Google Scholar
  5. 5.
    Li, L.: Application of the Internet of Thing in Green Agricultural Products Supply Chain Management. In: 2011 International Conference on Intelligent Computation Technology and Automation (ICICTA), pp. 1022–1025 (2011)Google Scholar
  6. 6.
    Karnouskos, S.: The cooperative Internet of Things enabled Smart Grid. In: Proceedings of the 14th IEEE International Symposium on Consumer Electronics, ISCE 2010 (2010)Google Scholar
  7. 7.
    Dada, A., Thiesse, F.: Sensor applications in the supply chain: the example of quality-based issuing of perishables. Proceedings of Internet of Things 4952, 140–154 (2008)CrossRefGoogle Scholar
  8. 8.
    Atzori, L., Iera, A., Morabito, G.: The Internet of Things: A survey. Computer Networks 54, 2787–2805 (2010)zbMATHCrossRefGoogle Scholar
  9. 9.
    Erkut, E., Verter, V.: Modeling of transport risk for hazardous materials. Operations Research 46, 625–642 (1998)zbMATHCrossRefGoogle Scholar
  10. 10.
    Bi, J., Wang, H.D.: Study on the environment risk of the hazardous wastes’ transportation. China Environmental Science 15, 241–246 (1995)Google Scholar
  11. 11.
    Guo, X.L., Li, J.: Transport Risk Models for Hazardous Materials Based on Accident Gradation. China Safety Science Journal 16, 35–40 (2006)Google Scholar
  12. 12.
    Fabiano, B., Currò, F., Palazzi, E., et al.: A framework for risk assessment and decision-making strategies in dangerous good transportation. Journal of Hazardous Materials 93, 1–15 (2002)CrossRefGoogle Scholar
  13. 13.
    Wu, Z.Z., Duo, Y.Q., Liu, M., et al.: A Study on the Method of Risk Assessment of Hazardous Materials During Road transportation. Journal of Basic Science and Engineering 12, 36–44 (2004)Google Scholar
  14. 14.
    Jiang, X.P., Xu, Z.H., Deng, Y.Y., et al.: Development in Risk Study on Hazardous Chemical Materials Road Transportation. Journal of Catastrophology 21, 94–98 (2006)Google Scholar
  15. 15.
    Fabiano, B., Currò, F., Reverberi, A.P., et al.: Dangerous good transportation by road from risk analysis to emergency planning. Journal of Loss Prevention in the Process Industries 18, 403–413 (2005)CrossRefGoogle Scholar
  16. 16.
    Verter, V., Kara, B.Y.: A GIS-based framework for hazardous materials transport risk assessment. Risk Analysis 21, 1109–1120 (2001)CrossRefGoogle Scholar
  17. 17.
    Wei, H., Li, J.: Analysis of Population Risk in Hazardous Material Transportation as Time Varies. China Safety Science Journal 14, 95–99 (2004)Google Scholar
  18. 18.
    Zhang, J.H., Zhao, L.J.: Risk Analysis of Dangerous Chemicals Transportation. Systems Engineering-Theory & Practice 12, 117–122 (2007)CrossRefGoogle Scholar
  19. 19.
    Tomasoni, A.M., Garbolino, E., Rovatti, M., et al.: Risk evaluation of real-time accident scenarios in the transport of hazardous material on road. Management of Environmental Quality: An International Journal 21, 695–711 (2010)CrossRefGoogle Scholar
  20. 20.
    Arslan, O., Er, I.D.: SWOT analysis for safer carriage of bulk liquid chemicals in tankers. Journal of Hazardous Materials 154, 901–913 (2008)CrossRefGoogle Scholar
  21. 21.
    Milazzo, M.F., Ancion, G., Lisi, R., et al.: Risk management of terrorist attacks in the transport of hazardous materials using dynamic geoevents. Journal of Loss Prevention in the Process Industries 22, 625–633 (2009)CrossRefGoogle Scholar

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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