Hybrid Decision-making Method for Emergency Response System of Unattended Train Operation Metro

  • Bobo Zhao National Research Center of Rail Transportation Operation and Control System, Beijing Jiaotong University,Beijing, China
  • Tao Tang State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University,Beijing, China
  • Bin Ning State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University,Beijing, China
  • Wei Zheng National Research Center of Rail Transportation Operation and Control System,Beijing Jiaotong University,Beijing,China;
DOI: https://doi.org/10.7307/ptt.v28i2.1760
Keywords: decision making, emergency response system, Unattended Train Operation, metro, Ordered Weighted Averaging,

Abstract

Suitable selection of the emergency alternatives is a critical issue in emergency response system of Unattended Train Operation (UTO) metro system of China. However, there is no available method for dispatcher group in Operating Control Center (OCC) to evaluate the decision under emergency situation. It was found that the emergency decision making in UTO metro system is relative with the preferences and the importance of multi-dispatcher in emergency. Regarding these factors, this paper presents a hybrid method to determinate the priority weights of emergency alternatives, which aggregates the preference matrix by constructing the emergency response task model based on the Weighted Ordered Weighted Averaging (WOWA) operator. This calculation approach derives the importance weights depending on the dispatcher emergency tasks and integrates it into the Ordered Weighted Averaging (OWA) operator weights based on a fuzzy membership relation. A case from train fire is given to demonstrate the feasibility and practicability of the proposed methods for Group Multi-Criteria Decision Making (GMCDM) in emergency management of UTO metro system. The innovation of this research is paving the way for a systematic emergency decision-making solution which connects the automatic metro emergency response system with the GMCDM theory.

Author Biographiesaaa replica rolex repwatches replica rolex watches for men replica iwc watch

Bobo Zhao, National Research Center of Rail Transportation Operation and Control System, Beijing Jiaotong University,Beijing, China
Bobo Zhao received the B.E., M.E. in electronic and information engineering from Beijing Jiaotng University, Beijng, China, in 2004 and 2007 respectively. She is currently a lecturer with the National Engineering Research Center of Rail Transportation Operation and Control System. Her research interests include the emergency response system analysis and design in the Metro domain.
Tao Tang, State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University,Beijing, China
Professor of Beijing Jiaotong University, director of State Key Laboratory of Rail Traffic Control and Safety (RCS). Leader of Modern Transportation Technology Experts Group of National High Technology Research and Development Program of China (863), Member of IEEE SMC society.
Bin Ning, State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University,Beijing, China
Bin Ning (M’94) received the Master’s and Ph.D. degrees in electrical engineering from the Northern Jiaotong University, Beijing, China, in 1987 and 2005, respectively. He was a Visiting Scholar of electronics and electrical power engineering with Brunel University, London, U.K. From October 2002 to February 2003, he was a Senior Visiting Scholar with the University of California, Berkeley. He is currently a Professor with the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, where he is responsible for several key scientific and technical projects and made great research achievements. He is part of the editorial board of the Journal of Railways in China and is an Associate Editor for Acta Automatica Sinica (2011–2012).Dr. Ning is a Fellow of the Association of International Railway Signaling Engineers, the Institute of Engineering and Technology, and the China Railway Society. He is the Deputy Director of the China Traffic System Engineering Society and the Beijing Railway Society. He is a Member of the China Overseas Returned Scholars Association and the Chair of the Technical Committee on Railroad Systems and Applications of the IEEE Intelligent Transportation Systems Society. He is an Associate Editor for the IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS for the period 2010–2012.
Wei Zheng, National Research Center of Rail Transportation Operation and Control System,Beijing Jiaotong University,Beijing,China;
Wei Zheng received the Ph.D degree in Control Science and Engineering in Harbin Institute of Technology, Harbin, in 2002. He is currently an associate professor in National Engnerring Research Center for Railway Traffic Operation and Control System,Beijing Jiaotong Univeristy, Beijing. His research interests inlcude the dynamical paramter estimation, development of the testing platforms.

References

UITP, 2011, Press kit Metro automation facts, figures and trends- a global bid for automation: UITP Observatory of Automated Metros confirms sustained growth rates for the coming years, 2011. Available from: http://www.uitp.org/sites/default/files/Metro%20automation%20-%20facts%20and%

figures.pdf.

Draft EN 62290-2 Railway applications - Urban guided transport management and command/control systems, Part 2: Functional requirements specification, 2011. Available from: http://webstore.iec.ch/Webstore/webstore.nsf/Artnum_PK/49864.

Fu T. Environmental emergency and typical cases [in Chinese]. Beijing: China Environmental Science Press, 2006. Available from: http://www.cesp.cn/list.asp?id=210

Abrahamsson M, Hassel H, Tehler H. Towards a system-oriented framework for analysing and evaluating emergency response. J. Contingencies Crisis Manage. 2010 April;18 (2):14-25. Available from: http://onlinelibrary.wiley.com/doi/10.1111/j.1468-5973.2009.00601.x/abstract

Wang D, Qi C, Wang H. Improving emergency response collaboration and resource allocation by task network mapping and analysis. Safety Science. 2014 Dec;70:9-18. Available from: http://www.sciencedirect.com/science/article/pii/S0925753514001106

Scott Å, Tysklind M, Fängmark I. Selection of a representative set of chemical accidents from a complex data matrix for the development of environment accident index. Journal of hazardous materials. 2002 Feb;91(1):63-80. Available from: http://www.sciencedirect.com/science/article/pii/

S0304389401003879

Assaf H, Saadeh M. Assessing water quality management options in the Upper Litani Basin, Lebanon, using an integrated GIS-based decision support system. Environmental Modelling and Software. 2008 Oct-Nov;23(10-11):1327-1337. Available from: http://www.sciencedirect.com/science/article/pii/

S1364815208000479

Didan K, Yitayew M. Prototype geographic information system for agricultural water quality management using cropSyst. Journal of Irrigation and Drainage Engineering. 2009 Jan;135(1):58-67. Available from: http://cedb.asce.org/cgi/WWWdisplay.cgi?169770

Bianconi R, Galmarini S, Bellasio R. Web-based system for decision support in case of emergency: ensemble modeling of long-range atmospheric dispersion of radionuclides. Environmental Modelling and Software. 2004 April;19(4):401-411. Available from: http://www.sciencedirect.com/science/article/pii/

S1364815203001397

Liao Z, Wang B, Xia X, Hannam PM. Environmental emergency decision support system based on Artificial Neural Network. Safety Science. 2012 Feb;50(1):150-163. Available from: http://www.sciencedirect.com/science/article/pii/S0925753511001615

Mao X. CBR adaptation methodology for environmental emergency response system based on genetic algorithm [Master Thesis, in Chinese]. Shanghai: Tongji University; 2010. Available from: http://webpac.lib.tongji.edu.cn/opac/item.php?marc_no=0001992004

Wang J, Fang W. A structured method for the traffic dispatcher error behavior analysis in metro accident investigation. Safety Science. 2014 Dec;70:339-347. Available from: http://www.researchgate.net/publication/

_A_structured_method_for_the_traffic_

dispatcher_error_behavior_analysis_in_metro_accident_

investigation

Karvonen H, Aaltonen I, Wahlström M, et al. Hidden roles of the train driver: A challenge for metro automation. Interacting with Computers. 2011 Aug;23(4):289-298. Available from: http://www.sciencedirect.com/science/article/pii/S0953543811000427

Lindell MK, Prater C, Perry RW. Wiley pathways introduction to emergency management. John Wiley & Sons; 2006. Available from: https://books.google.com.hk/books?hl=zh-CN&lr=&id=swNb7bzjYiIC&oi=fnd&pg=PA1&dq=Wiley+Pathways+Introduction+to+Emergency+Management&ots=Q_mAzJbPiF&sig=TJiKb4ZhTzRa5SlBHyrxvv0HLGI#v=onepage&q=Wiley%20Pathways%20Introduction%20to%20Emergency%20

Management&f=false

Ju Y, Wang A. Emergency alternative evaluation under group decision makers: A method of incorporating DS/ AHP with extended TOPSIS. Expert Systems with Applications. 2012 Feb;39(1):1315-1323. Available from: http://www.sciencedirect.com/science/article/pii/

S0957417411011237

Meng D, Pei Z. On weighted unbalanced linguistic aggregation operators in group decision making. Information Sciences. 2013 Feb;223:31-41. Available from: http://dl.acm.org/citation.cfm?id=2401275

Yager RR. On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Transactions on Systems, Man and Cybernetics. 1988 Jan;18(1):183-190. Available from: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=87068

Emrouznejad A. MP-OWA: The most preferred OWA operator. Knowledge-Based Systems. 2008 Dec;21(8):847-851. Available from: http://www.sciencedirect.com/science/article/pii/S0950705108000919

Zhou SM, Chiclana F, John RI, Garibaldi JM. Type-1 OWA operators for aggregating uncertain information with uncertain weights induced by type-2 linguistic quantifiers. Fuzzy Sets and Systems. 2008 July;159(24):3281-3296. Available from: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.192.9546&rep=rep1&type=pdf

Liamazares B. Choosing OWA operator weights in the field of Social Choice. Information Sciences. 2007 Nov;177(21):4745-4756. Available from:

http://www.sciencedirect.com/science/article/pii/

S0020025507002459

Merigó JM, Gil Lafuente AM. The generalized adequacy coefficient and its application in strategic decision making. Fuzzy Economic Review. 2008 April;13(2):17-36. Available from: http://dialnet.unirioja.es/servlet/articulo?codigo=2882398

Merigó JM, Gil-Lafuente AM. New decision making techniques and their application in the selection of financial products. Information Sciences. 2010 Nov;180(11):2085-2094. Available from: http://www.sciencedirect.com/science/article/pii/

S0020025510000502

Chen Y, Li K. An OWA-TOPSIS method for multiple criteria decision analysis. Expert Systems with Applications. 2011 May;38(5):5205-5211. Available from: http://www.sciencedirect.com/science/article/pii/

S0957417410011838

Ogryczak W, Śliwiński T. On efficient WOWA optimization for decision support under risk. International Journal of Approximate Reasoning, 2009 Jun;50(6):915-928. Available from: http://www.sciencedirect.com/science/article/pii/S0888613X09000425

Yager RR. Weighted maximum entropy OWA aggregation with applications to decision making under risk. IEEE Transactions on Systems, Man and Cybernetics Part A. 2009 May;39(3):555-564. Available from: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4803772

Yager RR. Prioritized OWA aggregation. Fuzzy Optimization

and Decision Making. 2009 Aug;8(3):245–262. Available from: http://link.springer.com/article/10.1007%2Fs10700-009-9063-4?LI=true

Yager RR. On the cardinality index and attitudinal character of fuzzy measures. International Journal of General Systems. 2002 April;31(3):303-329. Available from: http://www.tandfonline.com/doi/abs/10.1080/03081070290018047#.VNxgTPmUeSo

Wang YM, Luo Y, Liu X. Two new models for determining OWA operator weights. Computers & Industrial Engineering. 2007 March;52(2):203-209. Available from: http://www.sciencedirect.com/science/article/

pii/S0360835206002075

Fullér R, Majlender P. An analytic approach for obtaining maximal entropy OWA operator weights. Fuzzy Sets and Systems. 2001 Nov;124(1):53-57. Available from: http://www.sciencedirect.com/science/article/pii/

S0165011401000070

Wang YM, Parkan C. A minimax disparity approach for obtaining OWA operator weights. Information Sciences. 2005 Sep;175(1):20-29. Available from: http://dl.acm.org/citation.cfm?id=1103390

Amin GR, Notes on properties of the OWA weights determination mode. Computers & Industrial Engineering. 2007 May;52(4):533-538. Available from: http://www.sciencedirect.com/science/article/pii/

S0360835207000472

Emrouznejad A, Amin GR. Improving minimax disparity model to determine the OWA operator weights. Information Sciences. 2010 Nov;180(8):1477-1485. Available from: http://www.sciencedirect.com/science/article/pii/S0020025509005210

Amin GR, Emrouznejad A. Parametric aggregation in ordered weighted averaging. International journal of approximate reasoning. 2011 Feb;52(6):819-827. Available from: http://www.sciencedirect.com/science/article/pii/S0888613X1100051X

Grabisch M, Orlovski SA, Yager RR. Fuzzy aggregation of numerical preferences. Fuzzy sets in decision analysis, operations research and statistics. 1998 Jan;1:31-68. Available from: http://link.springer.com/chapter/10.1007/978-1-4615-5645-9_2

Torra V. The weighted OWA operator. International Journal of Intelligent Systems. 1997 Dec;12(2):153-166. Available from: http://onlinelibrary.wiley.com/doi/10.1002/(SICI)1098-111X

(199702)12:2%3C153::AID-INT3%3E3.0.CO;2-P/abstract

Valls A, Torra V. Using classification as an aggregation tool in MCDM. Fuzzy Sets and Systems. 2000 Oct;115(1):159-168. Available from: http://www.sciencedirect.com/science/article/pii/S0165011499000299

Nettleton D, Muñiz J. Processing and representation of meta-data for sleep apnea diagnosis with an artificial intelligence approach. International journal of medical informatics. 2001 Feb;63(1):77-89. Available from: http://www.iiia.csic.es/files/pdfs/nettleton_ijmi.pdf

Uhr C, Johansson H, Fredholm L. Analysing emergency response systems. Journal of Contingencies and Crisis Management. 2008 May;16(2):80-90. Available from: http://onlinelibrary.wiley.com/doi/10.1111/j.1468-5973.2008.00536.x/abstract

Uhr C, Johansson H. Mapping an emergency management network. International Journal of Emergency Management. 2007 Feb;4(1):104-118. Available from: http://gordion.casaccia.enea.it/Progetto-Reti/cnip06/slides/Session6/Uhr.pdf

Wang YM, Luo Y, Liu X. Two new models for determining OWA operator weights[J]. Computers & Industrial Engineering. 2007 Jan;52(2):203-209. Available from: http://www.sciencedirect.com/science/article/pii/

S0360835206002075

Jiang YP, Fan ZP. Decision theory and method based on judgement matrix. Science press; 2008 Dec. Available from: http://www.sciencep.com/s_single.php?id=16934

Published
2016-04-25
How to Cite
1.
Zhao B, Tang T, Ning B, Zheng W. Hybrid Decision-making Method for Emergency Response System of Unattended Train Operation Metro. Promet [Internet]. 2016Apr.25 [cited 2024Dec.21];28(2):105-1. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/1760
Issue
Vol 28 No 2 (2016)
Section
Articles

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).