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

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.

[1]  Hua Yu,et al.  Discrete-Event Simulation Engineering in Evaluation of Medical Treatment Capability Against Biochemical Terrorist Attacks , 2012 .

[2]  Richard F. Hartl,et al.  Exact and heuristic algorithms for the vehicle routing problem with multiple interdependent time windows , 2008, Comput. Oper. Res..

[3]  Eran Rotman,et al.  Biochemical terrorism: the medical threat in the twenty-first century☆ , 2004, Sexuality, Reproduction and Menopause.

[4]  Vincent K. N. Lau,et al.  A genetic algorithm based approach to route selection and capacity flow assignment , 2003, Comput. Commun..

[5]  Li Zhang,et al.  Optimum Transit Operations during the Emergency Evacuations , 2009 .

[6]  D. Davis,et al.  Emergency medical services intervals and survival in trauma: assessment of the "golden hour" in a North American prospective cohort. , 2010, Annals of emergency medicine.

[7]  Shaligram Pokharel,et al.  Optimization models in emergency logistics: A literature review , 2012 .

[8]  A. Rivkind,et al.  Terror in the 21st century: milestones and prospects--part II. , 2007, Current problems in surgery.

[9]  Rajan Batta,et al.  Dispatching and routing of emergency vehicles in disaster mitigation using data fusion , 2009 .

[10]  Linet Özdamar,et al.  A dynamic logistics coordination model for evacuation and support in disaster response activities , 2007, Eur. J. Oper. Res..

[11]  Jung-Yuan Kung,et al.  A new algorithm for the discrete fuzzy shortest path problem in a network , 2006, Appl. Math. Comput..

[12]  Shangyao Yan,et al.  Optimal scheduling of emergency roadway repair and subsequent relief distribution , 2009, Comput. Oper. Res..

[13]  Wendalyn K Little,et al.  Golden Hour or Golden Opportunity: Early Management of Pediatric Trauma , 2010 .

[14]  R. Gaynes,et al.  Biological and chemical terrorism: strategic plan for preparedness and response. , 2000 .

[15]  Hua Yu,et al.  A research on vehicle scheduling problem to rescue the victims from chemical and biological terrorist attacks , 2011, 2011 IEEE International Conference on Automation and Logistics (ICAL).

[16]  Wei Yi,et al.  Ant Colony Optimization for Disaster Relief Operations , 2007 .

[17]  Yuan Yuan,et al.  Path selection model and algorithm for emergency logistics management , 2009, Comput. Ind. Eng..

[18]  Deyun Xiao,et al.  Emergency Evacuation Model and Algorithms , 2008 .