Abstract
The chapter presents a simulation study of the large-scale traffic data under a short-notice emergency evacuation condition due to an assumed chlorine gas spill incident in a derailment accident in the Canadian National (CN) Railway’s railroad yard in downtown Jackson, Mississippi by employing the dynamic traffic assignment simulation program DynusT. In the study, the effective evacuation corridor and traffic management strategies were identified in order to increase the number of cumulative vehicles evacuated out of the incident-affected protective action zone (PAZ) during the simulation duration. An iterative three-step study approach based on traffic control and traffic management considerations was undertaken to identify the best strategies in evacuation corridor selection, traffic management method, and evacuation demand staging to relieve heavy traffic congestions for such an evacuation.
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Acknowledgments
The authors are grateful to the Mississippi Department of Transportation (MDOT) for funding the research study. MDOT engineers Acey Roberts and Wes Dean are thanked for their valuable support and guidance. The project was also partially funded by the Institute for Multimodal Transportation (IMTrans) at JSU through the UTC program of the USDOT.
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Bu, L., Wang, F. (2017). Evaluation of Evacuation Corridors and Traffic Big Data Management Strategies for Short-Notice Evacuation. In: García Márquez, F., Lev, B. (eds) Big Data Management . Springer, Cham. https://doi.org/10.1007/978-3-319-45498-6_9
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DOI: https://doi.org/10.1007/978-3-319-45498-6_9
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