On an integrated approach to resilient transportation systems in emergency situations

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.

[1]  Kazuhisa Makino,et al.  The evacuation problem, dynamic network flows, and algorithms , 2003, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).

[2]  Junwei Wang,et al.  Reducing carbon emission of pickup and delivery using integrated scheduling , 2016 .

[3]  Edwin R. Galea,et al.  A review of the methodologies used in the computer simulation of evacuation from the built environment , 1999 .

[4]  James Kennedy,et al.  The particle swarm: social adaptation of knowledge , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

[5]  J. E. Groves,et al.  Made in America: Science, Technology and American Modernist Poets , 1989 .

[6]  Jinliang Ding,et al.  Toward a Resilient Holistic Supply Chain Network System: Concept, Review and Future Direction , 2016, IEEE Systems Journal.

[7]  Brian Wolshon,et al.  Review of Policies and Practices for Hurricane Evacuation. II: Traffic Operations, Management, and Control , 2005 .

[8]  Erica D. Kuligowski,et al.  Review of Building Evacuation Models , 2005 .

[9]  S. Simonovic,et al.  Computer-based Model for Flood Evacuation Emergency Planning , 2005 .

[10]  Edwin R. Galea,et al.  A review of the methodologies used in evacuation modelling , 1999 .

[11]  J Wang,et al.  Origin and development of resilience engineering: a perspective on safety engineering , 2015 .

[12]  K. Roberts Managing High Reliability Organizations , 1990 .

[13]  Dong Liu,et al.  Please Scroll down for Article Enterprise Information Systems Architectural Design for Resilience Architectural Design for Resilience , 2022 .

[14]  Yong He A novel approach to emergency management of wireless telecommunication system , 2008 .

[15]  Long Chen,et al.  Design for control: A concurrent engineering approach for mechatronic systems design , 2001 .

[16]  Joel Cutcher-Gershenfeld,et al.  Engineering resilience into safety-critical systems , 2012 .

[17]  Sabiha Amin Wadoo,et al.  Feedback Control Design and Stability Analysis of One Dimensional Evacuation System , 2006, 2006 IEEE Intelligent Transportation Systems Conference.

[18]  Sabiha Amin Wadoo,et al.  Feedback Control of Crowd Evacuation in One Dimension , 2010, IEEE Transactions on Intelligent Transportation Systems.

[19]  W. H. Ip,et al.  On Petri net implementation of proactive resilient holistic supply chain networks , 2013 .

[20]  Kazuo Furuta,et al.  Evacuation Planning Based on the Contraflow Technique With Consideration of Evacuation Priorities and Traffic Setup Time , 2013, IEEE Transactions on Intelligent Transportation Systems.

[21]  Damien Serre,et al.  From technical resilience toward urban services resilience , 2011 .

[22]  Shashi Shekhar,et al.  Contraflow Transportation Network Reconfiguration for Evacuation Route Planning , 2008, IEEE Transactions on Knowledge and Data Engineering.

[23]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[24]  Russell C. Eberhart,et al.  A discrete binary version of the particle swarm algorithm , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[25]  Brian Wolshon,et al.  Review of Policies and Practices for Hurricane Evacuation. I: Transportation Planning, Preparedness, and Response , 2005 .

[26]  Wen-Jun Zhang,et al.  Integrated design of mechanical structure and control algorithm for a programmable four-bar linkage , 1999 .

[27]  Kazuo Furuta,et al.  Predatory Search Strategy Based on Swarm Intelligence for Continuous Optimization Problems , 2013 .

[28]  H. W. Hamacher,et al.  Mathematical Modelling of Evacuation Problems: A State of Art , 2001 .

[29]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.

[30]  Dingwei Wang,et al.  Particle swarm optimization with a leader and followers , 2008 .

[31]  Wenjun Chris Zhang,et al.  On the principle of design of resilient systems – application to enterprise information systems , 2010, Enterp. Inf. Syst..

[32]  Kazuo Furuta,et al.  On a Unified Definition of the Service System: What is its Identity? , 2014, IEEE Systems Journal.

[33]  MengChu Zhou,et al.  A vector matching method for analysing logic Petri nets , 2011, Enterp. Inf. Syst..

[34]  Robert L. Wears,et al.  Resilience Engineering: Concepts and Precepts , 2006, Quality and Safety in Health Care.

[35]  Benigno E. Aguirre,et al.  A Critical Review Of Emergency Evacuation Simulation Models , 2004 .

[36]  Kazuo Furuta,et al.  On domain modelling of the service system with its application to enterprise information systems , 2016, Enterp. Inf. Syst..

[37]  J Swanson,et al.  Business Dynamics—Systems Thinking and Modeling for a Complex World , 2002, J. Oper. Res. Soc..

[38]  T. L. Porte High Reliability Organizations: Unlikely, Demanding and At Risk , 1996 .

[39]  Andrew W. H. Ip,et al.  Measurement of resilience and its application to enterprise information systems , 2010, Enterp. Inf. Syst..

[40]  Ralph Deters,et al.  A disaster response management system based on the control systems technology , 2008, Int. J. Crit. Infrastructures.

[41]  Sabiha Amin Wadoo,et al.  Feedback control design and stability analysis of two dimensional evacuation system , 2006, 2006 IEEE Intelligent Transportation Systems Conference.

[42]  Nancy G. Leveson,et al.  Beyond Normal Accidents and High Reliability Organizations: The Need for an Alternative Approach to Safety in Complex Systems , 2004 .

[43]  Zuomin Dong,et al.  An intelligent contraflow control method for real-time optimal traffic scheduling using artificial neural network, fuzzy pattern recognition, and optimization , 2000, IEEE Trans. Control. Syst. Technol..

[44]  Junwei Wang,et al.  Towards a resilient networked service system , 2013 .

[45]  S. Mamada,et al.  Evacuation problems and dynamic network flows , 2004, SICE 2004 Annual Conference.

[46]  Brian J. Sauser,et al.  A framework for investigation into extended enterprise resilience , 2010, Enterp. Inf. Syst..

[47]  Kazuo Furuta,et al.  Modeling And Simulation Of A Service System In A Disaster To Assess Its Resilience , 2011 .

[48]  Marc L. Levitan,et al.  National Review of Hurricane Evacuation Plans and Policies , 2001 .

[49]  Dimitri P. Bertsekas,et al.  RELAX-IV : a faster version of the RELAX code for solving minimum cost flow problems , 1994 .

[50]  C. A. van Luttervelt,et al.  Toward a resilient manufacturing system , 2011 .

[51]  Wenjun Chris Zhang,et al.  An Integrated Road Construction and Resource Planning Approach to the Evacuation of Victims From Single Source to Multiple Destinations , 2010, IEEE Transactions on Intelligent Transportation Systems.

[52]  Erik Hollnagel,et al.  Resilience Engineering in Practice: A Guidebook , 2012 .

[53]  Manoj Kumar Tiwari,et al.  Measuring the Resilience of Supply Chain Systems Using a Survival Model , 2015, IEEE Systems Journal.