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Study on Real-Time Vehicle Scheduling Problem to Rescue Victims in Chemical and Biological Terrorist Attacks

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Proceedings of the 2013 International Conference on Electrical and Information Technologies for Rail Transportation (EITRT2013)-Volume I

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 287))

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Abstract

Considering the real-time information (the number of new infection victims, the changed treatment capacity of hospitals and so on), we study the real-time vehicle scheduling problem to rescue victims with constraint of prime rescue time in multi-location chemical and biological terrorist attacks (CBTAs) and propose a mathematical model. Then, an algorithm with an event-time vector is designed to solve the mathematical model. We take computational experiments under small-scale CBTAs and large-scale CBTAs and obtain the optimal vehicle scheme. Experimental results show the model, and solution algorithm could be useful in practical CBTAs.

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Acknowledgments

This work is supported by National Basic Research Program of China (973 Program) with Grant No. 2011CB706900, National Natural Science Foundation of China (Grant No. 70971128), Beijing Natural Science Foundation (Grant No. 9102022), and the President Fund of GUCAS (Grant No.O95101HY00).

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Authors and Affiliations

  1. College of Engineering and Information Technology, University of Chinese Academy of Sciences (UCAS), Beijing, China

    Zhonghua Liu & Hua Yu

  2. The School of Science, Communication University of China, Beijing, China

    Juyun Wang

  3. Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), Beijing, China

    Degang Liu

Authors
  1. Zhonghua Liu
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  2. Juyun Wang
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  3. Hua Yu
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  4. Degang Liu
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Corresponding author

Correspondence to Hua Yu .

Editor information

Editors and Affiliations

  1. Beijing Jiaotong University, Beijing, People's Republic of China

    Limin Jia

  2. Beijing Jiaotong University, Beijing, People's Republic of China

    Zhigang Liu

  3. Beijing Jiaotong University, Beijing, People's Republic of China

    Yong Qin

  4. China CNR Changchun Railway Vehicles Co., Ltd, Changchun, People's Republic of China

    Minghua Zhao

  5. Beijing Jiaotong University, Beijing, People's Republic of China

    Lijun Diao

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Liu, Z., Wang, J., Yu, H., Liu, D. (2014). Study on Real-Time Vehicle Scheduling Problem to Rescue Victims in Chemical and Biological Terrorist Attacks. In: Jia, L., Liu, Z., Qin, Y., Zhao, M., Diao, L. (eds) Proceedings of the 2013 International Conference on Electrical and Information Technologies for Rail Transportation (EITRT2013)-Volume I. Lecture Notes in Electrical Engineering, vol 287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53778-3_32

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  • DOI: https://doi.org/10.1007/978-3-642-53778-3_32

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53777-6

  • Online ISBN: 978-3-642-53778-3

  • eBook Packages: EngineeringEngineering (R0)

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