Skip to main content
Log in

On an integrated approach to resilient transportation systems in emergency situations

  • Published:
Natural Computing Aims and scope Submit manuscript

Abstract

In this paper we present an integrated approach to the evacuation problem under an emergency situation for transportation systems. The approach is based on a view that a service system has two subsystems: infrastructure and substance. The approach attempts to integrate infrastructure design and substance flow planning to improve the evacuation performance. Without loss of generality, we restrict infrastructure design to reconstruction of a damaged road with two attributes of the road: capacity and travel time, we restrict substance flow planning to the contraflow method, and we consider the evacuation problem with single source and single destination. Further, we apply the discrete variable Particle Swarm Optimization and RelaxIV to solve the problem model. The overall objective function in the problem model is a minimum transportation time. Since recovery of a damaged transportation (damaged road in this case) is implied in our problem, the proposed approach has some significant implication to resilience engineering of a service system as well. An example is studied to show the effectiveness of our approach; in particular it is shown that an integrated solution is significantly better than the solution with only the contraflow method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Bertsekas DP, Tseng P (1994) Relax IV: a fast version of the Relax code for solving minimum cost flow problems. In: LIDS-P-2276, MIT, Cambridge

  • Du Y, Qi L, Zhou M (2011) A vector matching method for analysing logic Petri nets. Enterp Inf Syst 5(4):449–468

    Article  Google Scholar 

  • Eberhart RC, Kennedy J (1995) A new optimizer using particle swarm theory. In: Proceedings on international symposium on micro machine and human science, Nagoya, Japan, pp 39–43

  • Erol O, Sauser B, Mansouri M (2010) A framework for investigation into extended enterprise resilience. Enterp Inf Syst 4(2):111–136

    Article  Google Scholar 

  • Gwynne SS, Galea ER, Owen M, Lawrence PJ, Filippidis L (1999a) A review of the methodologies used in evacuation modeling. Fire Mater 23:383–388

    Article  Google Scholar 

  • Gwynne S, Galea ER, Owen M, Lawrence PJ, Filippidis L (1999b) A review of the methodologies used in the computer simulation of evacuation from the built environment. Build Environ 34(6):741–749

    Article  Google Scholar 

  • Hamacher HW, Tjandra SA (2002) Mathematical modelling of evacuation problems: a state of art. In: Schreckcnberg M, Sharma SD (eds) Pedestriori and evacuation dynamics. Springer, New York, pp 227–266

    MATH  Google Scholar 

  • He Y (2008) A novel approach to emergency management of wireless telecommunication system. Master thesis, Department of Mechanical Engineering, University of Saskatchewan, Saskatoon

  • Hollnagel E, Paries J, Woods D, Wreathall J (2010) Resilience engineering in practice: a guide book. Ashgate, Aldershot

    Google Scholar 

  • Kanno T, Fujii T, Watarir R, Furuta K (2011) Modeling and simulation of a service system in a disaster to assess its resilience. In: 4th Resilience engineering international symposium, Sophia-Antipolis

  • Kennedy J (1997) The particle swarm: social adaptation of knowledge. In: Proceedings of the IEEE international conference on evolutionary computation, Indianapolis, IN, USA, pp 303–308

  • Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of IEEE international conference on neural networks, Perth, Australia, vol 4, pp 1942–1948

  • Kennedy J, Eberhart RC (1997) A discrete binary of the particle swarm algorithm. In: Proceedingds of the IEEE international conference on systems, man and cybernetics, Orlando, Fl, USA, pp 4104–4108

  • Kim S, Shekhar S, Min M (2008) Contraflow transportation network reconfiguration for evacuation route planning. IEEE Trans Knowl Data Eng 20(8):1115–1129

    Article  Google Scholar 

  • Kuligowski ED, Peacock RD (2005) A review of building evacuation models. National Institute of Standards and Technology, Technical Note 1471

  • LaPorte TR (1996) High reliability organizations: unlikely, demanding, and at risk. J Contingen Crisis Manag 63(4):60–71

    Article  MathSciNet  Google Scholar 

  • Leveson N, Dulac N, Zipkin D, Cutcher-Gershenfeld J, Carroll J, Barrett B (2006) Engineering resilience into safety-critical systems. In: Hollanagel E, Woods DD, Leveson N (eds) Resilience Engineering: concepts and precepts. Ashgate Publishing Limited, Burlington, pp 95–124

    Google Scholar 

  • Lhonmme S, Toubin M, Serre D, Diab Y, Laganier R (2011) From technical resilience toward urban services resilience. In: 4th Resilience engineering international symposium, Sophia-Antipolis

  • Li Q, Zhang WJ, Chen L (2001) Design for control (DFC): a concurrent engineering approach for mechatronic system design. IEEE/ASME Trans Mechatron 6(2):161–169

    Article  Google Scholar 

  • Liu X, Tu Y, Zhang WJ, Deters R, Chai C (2006) A generic architecture of the networked critical infrastructure system: GANetCI. In: Third conference on critical infrastructure, Old Town Alexandria

  • Liu D, Deters R, Zhang WJ (2010) Architectural design for resilience. Enterp Inf Syst 4(2):137–152

    Article  Google Scholar 

  • Mamada S, Makino K, Takabatake T, Fujishige S (2003) The evacuation problem dynamic network flows and algorithms. In: Proceedings of SICE annual conference, Fukui, Japan, vol 3, pp 2807–2811

  • Mamada S, Makino K, Fujishige S (2004) Evacuation problems and dynamic network flows. In: Proceedings of SICE annual conference, Sapporo, Japan, vol 1, pp 530–535

  • Marais K, Dulac N, Leveson N (2004) Beyond normal accidents and high reliability organizations: the need for an alternative approach to safety in complex systems. In: Engineering systems division symposium, MIT, Cambridge

  • Perrow C (1999) Normal accidents: living with high-risk technologies. Princeton University Press, Princeton

    Google Scholar 

  • Raj R, Wang JW, Nayak A, Tiwari MK, Han B, Liu CL, Zhang WJ (2015) Measuring resilience of supply chain systems using a survival model. IEEE Syst J 9(2):377–381

    Article  Google Scholar 

  • Roberts KH (1990) Managing high reliability organizations. Calif Manag Rev 32(4):101–114

    Article  Google Scholar 

  • Santos G, Aguirre BE (2004) A critical review of emergency evacuation simulation models. In: Proceedings of conference on building occupant movement during fire emergencies, Gaithersburg, Maryland

  • Simonovic SP, Ahmad S (2005) Computer-based Model for flood evacuation emergency planning. Nat Hazards 34(1):25–51

    Article  Google Scholar 

  • Sterman JD (2000) Business dynamics: systems thinking and modeling for a complex world. McGraw Hill, New York

    Google Scholar 

  • Tu YL, Zhang WJ, Liu X, Li W, Chai C, Deter R (2008) A disaster response management system based on the control systems technology. Int J Crit Infrastruct 4(3):274–295

    Article  Google Scholar 

  • Urbina E, Wolshon B (2003) National review of hurricane evacuation plans and policies: a comparison and contrast of state practices. Transp Res Part A 37(3):257–275

    Google Scholar 

  • Wadoo SA, Kachroo P (2006) Feedback control design and stability analysis of two dimensional evacuation system. In: Proceedings of the IEEE ITSC, Toronto, Canada, pp 1108–1113

  • Wadoo SA, Kachroo P (2010) Feedback control of crowd evacuation in one dimension. IEEE Trans Intell Transp Syst 11(1):182–193

    Article  Google Scholar 

  • Wang JW (2013) Towards a resilient networked service system. Ph.D. thesis, Department of Mechanical Engineering, University of Saskatchewan, Saskatoon

  • Wang JW, Wang DW (2008) Particle swarm optimization with a leader and followers. Prog Nat Sci 18(11):1437–1443

    Article  Google Scholar 

  • Wang JW, Gao F, Ip WH (2010a) Measurement of resilience and its application to enterprise information systems. Enterp Inf Syst 4(2):215–223

    Article  Google Scholar 

  • Wang JW, Ip WH, Zhang WJ (2010b) An integrated road construction and resource planning approach to the evacuation of victims from single source to multiple destinations. IEEE Trans Intell Transp Syst 11(2):277–289

    Article  Google Scholar 

  • Wang JW, Ip WH, Muddada RR, Huang JL, Zhang WJ (2013a) On Petri net implementation of proactive resilient holistic supply chain networks. Int J Adv Manuf Technol 69(1–4):427–437

    Article  Google Scholar 

  • Wang JW, Wang HF, Ip WH, Furuta K, Kanno T, Zhang WJ (2013b) Predatory search strategy based on swarm intelligence for continuous optimization problems. Math Prob Eng. doi:10.1155/2013/749256

    Article  MathSciNet  Google Scholar 

  • Wang JW, Wang HF, Zhang WJ, Ip WH, Furuta K (2013c) Evacuation planning based on the contraflow technique with consideration of evacuation priorities and traffic setup time. IEEE Trans Intell Transp Syst 14(1):480–485

    Article  Google Scholar 

  • Wang JW, Wang HF, Zhang WJ, Ip WH, Furuta K (2014) On a unified definition of the service system: what is its identity? IEEE Syst J 8(3):821–826

    Article  Google Scholar 

  • Wang JW, Song MY, Zhou YM, Ding JL (2015) Origin and development of resilience engineering: a perspective on safety engineering. Control Eng China 22(4):1–10

    Google Scholar 

  • Wang JW, Muddada RR, Wang HF, Ding JL, Lin Y, Zhang WJ (2016a) Towards a resilient holistic supply chain network system: concept, review and future direction. IEEE Syst J 10(2):410–421

    Article  Google Scholar 

  • Wang JW, Wang HF, Ding JL, Furuta K, Kanno T, Ip WH, Zhang WJ (2016b) On domain modelling of the service system with its application to enterprise information systems. Enterp Inf Syst 10(1):1–16

    Article  Google Scholar 

  • Wolshon B, Urbina E, Levitan M, Wilmot C (2005a) Review of policies and practices for hurricane evacuation. II: traffic operations, management, and control. Nat Hazards Rev 6(3):143–161

    Article  Google Scholar 

  • Wolshon B, Urbina E, Wilmot C, Levitan M (2005b) Review of policies and practices for hurricane evacuation. I: transportation planning, preparedness, and response. Nat Hazards Rev 6(3):129–142

    Article  Google Scholar 

  • Xue D, Dong Z (2000) An intelligent contraflow control method for real-time optimal traffic scheduling using artificial neural network, fuzzy pattern recognition, and optimization. IEEE Trans Control Syst Technol 8(1):183–191

    Article  Google Scholar 

  • Yu Y, Tang J, Li J, Sun W, Wang JW (2016) Reducing carbon emission of pickup and delivery using integrated scheduling. Transp Res Part D Transp Environ 47:237–250

    Article  Google Scholar 

  • Zhang WJ, Lin Y (2010) On the principle of design of resilient systems-application to enterprise information systems. Enterp Inf Syst 4(2):99–110

    Article  Google Scholar 

  • Zhang WJ, van Luttervelt CA (2011) Toward a resilient manufacturing system. CIPP Annu Manuf Technol 60:469–472

    Article  Google Scholar 

  • Zhang WJ, Li Q, Guo LS (1999) Integrated design of mechanical structure and control algorithm for a programmable four-bar linkage. IEEE/ASME Trans Mechatron 4(4):354–362

    Article  Google Scholar 

Download references

Acknowledgements

We thank the financial support to this work by the National Natural Science Foundation of China (NSFC) (Grant No. 71571156), by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. [T32-101/15-R]), by the University of Hong Kong through the Seed Funding Programme for basic research (Grant Nos. 201409159015, 201511159252), and by the open project funded by State Key Laboratory of Synthetical Automation for Process Industries (PAL-N201505) to J. W. Wang and National Science and Engineering Research Council of Canada through a Strategic Project Grant to W. J. Zhang.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to J. W. Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, J.W., Wang, H.F., Zhou, Y.M. et al. On an integrated approach to resilient transportation systems in emergency situations. Nat Comput 18, 815–823 (2019). https://doi.org/10.1007/s11047-016-9605-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11047-016-9605-y

Keywords

Navigation