Abstract
This article presents a social network based methodology for improving urban traffic evacuation capability in emergency response by using smart phones. Considering destructive and unexpected characteristics of natural hazards or man-made disasters, the effected people cannot evacuate efficiently when they face the unknown impacts of these events. Therefore, a smart phone application, called EMAPP, is developed to tackle this difficulty. An overall description including design architecture and system modules is provided. Optimal shelter choice strategy is given by using the modified Dijkstra’s algorithm. The Nagel-Schreckenberg model loaded by vehicle arrival rate is implemented to produce the spatio-temporal diagrams of the vehicles. Both traffic congestion and cascading failure during real-time emergency evacuation are analyzed. The main issues are devoted to link the affected people, geographic information and traffic conditions through the smartphone application. Therefore, in emergency evacuation, the affected people can receive mutual help and urban resilience can be enhanced.
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References
Xu, Z., et al.: Simulation of earthquake-induced hazards of falling exterior non-structural components and its application to emergency shelter design. Nat. Hazards 80(2), 935–950 (2016)
Oxendine, C., Sonwalkar, M., Waters, N.: A multi-objective, multi-criteria approach to improve situational awareness in emergency evacuation routing using mobile phone data. Trans. GIS 16(3), 375–396 (2012)
Stepanov, A., Smith, J.M.: Multi-objective evacuation routing in transportation networks. Eur. J. Oper. Res. 198(2), 435–446 (2009)
Winter, S., et al.: Get me out of here: collaborative evacuation based on local knowledge. In: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, pp. 35–42. ACM (2011)
Murray-Tuite, P., Wolshon, B.: Evacuation transportation modeling: an overview of research, development, and practice. Transp. Res. Part C: Emerg. Technol. 27, 25–45 (2013)
Steenbruggen, J., Tranos, E., Nijkamp, P.: Data from mobile phone operators: a tool for smarter cities? Telecommun. Policy 39, 335–346 (2015)
Jaeger, P.T., et al.: Community response grids: e-government, social networks, and effective emergency management. Telecommun. Policy 31, 592–604 (2007)
Alamdar, F., Kalantari, M., Rajabifard, A.: Towards multi-agency sensor information integration for disaster management. Comput. Environ. Urban Syst. 56, 68–85 (2016)
Calabrese, F., et al.: Real-time urban monitoring using cell phones: a case study in Rome. IEEE Trans. Intell. Transp. Syst. 12(1), 141–151 (2011)
Fry, J., Binner, J.M.: Elementary modelling and behavioural analysis for emergency evacuations using social media. Eur. J. Oper. Res. 249(3), 1014–1023 (2016)
Iovanovici, A., et al.: A hierarchical approach in deploying traffic lights using complex network analysis. In: Proceeding of the 18th International Conference on System Theory, Control and Computing, pp. 791–796 (2014)
Xu, Z., et al.: Crowdsourcing based description of urban emergency events using social media big data. IEEE Trans. Cloud Comput. PP(99) (2016)
Xu, Z., et al.: Participatory sensing-based semantic and spatial analysis of urban emergency events using mobile social media. EURASIP J. Wirel. Commun. Netw. 2016(44), 1–9 (2016)
Zhang, P., Zhang, H., Guo, D.: Evacuation shelter and route selection based on multi-objective optimization approach. In: 1st International ACM SIGSPATIAL Workshop on the use of GIS in Emergency Management (EM-GIS), Seattle, Washington, USA (2015)
Wang, Z., Zlatanova, S.: Multi-agent based path planning for first responders among moving obstacles. Comput. Environ. Urban Syst. 56, 48–58 (2016)
Asif, M.T., et al.: Spatial and temporal patterns in large-scale traffic speed prediction. IEEE Trans. Intell. Transp. Syst. 15(2), 794–804 (2014)
Duanmu, J., et al.: Buffering in evacuation management for optimal traffic demand distribution. Transp. Res. Part E: Logistics Transp. Rev. 48(3), 684–700 (2012)
Nagel, K.: A cellular automaton model for freeway traffic. J. Phys. I Fr. 2(12), 2221–2229 (1992)
Barlovic, R., et al.: Metastable states in cellular automata for traffic flow. Eur. Phys. J. B – Condens. Matter Complex Syst. 5(3), 793–800 (1998)
Acknowledgements
The research is partially funded by the National Natural Science Foundation of China (Grant No. 91024032, No. 91224008).
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Zhang, P., Liu, Y., Yang, R., Zhang, H., Gong, Z. (2016). Improving Urban Traffic Evacuation Capability in Emergency Response by Using Smart Phones. In: Morishima, A., et al. Web Technologies and Applications. APWeb 2016. Lecture Notes in Computer Science(), vol 9865. Springer, Cham. https://doi.org/10.1007/978-3-319-45835-9_21
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DOI: https://doi.org/10.1007/978-3-319-45835-9_21
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