A fuzzy multicriteria method for ranking the factors that influence the settlement of Brazilian highway speed limits
DOI:
https://doi.org/10.14295/transportes.v28i3.2067Keywords:
Speed Limits. Fuzzy Multicriteria. Genetic Algorithm. Brazilian Highways.Abstract
The process of settling highways speed limits involves a high number of factors, not clearly defined in terms of an order of relevance that allows the expert – responsible for making the decision – choose the best solution. Since the establishment of a speed limit is based on subjectivity, being governed by uncertainty and imprecision, the fuzzy logic stands out as an alternative for the solution of the problem. Therefore, experts from the area were questioned about the influence of pre-determined factors on highway speed limits and, after that, a multicriteria fuzzy decision-making method, optimized by a genetic algorithm, was used, so that the variables could be ordered concerning weights and, consequently, relevance. The method converged to satisfactory results, which may allow not only the conception of an expert system for the settlement of speed limits, but also the application in other fields.
Downloads
References
Arslan, A. and M. Kaya (2001) Determination of fuzzy logic membership functions using genetic algorithms. Fuzzy Sets and Systems, v. 118, p. 297-306. DOI: https://doi.org/10.1016/S0165-0114(99)00065-2
AUSTROADS (2005) Balance between Harm Reduction and Mobility in Setting Speed Limits: A Feasibility Study. Research Report AP-R272/05. Sydney, Australia. 67p.
Brasil (2016) Lei Nº 13.281, de 4 de maio de 2016. Altera a Lei nº 9.503, de 23 de setembro de 1997 (Código de Trânsito Brasileiro), e a Lei nº 13,146, de 6 de julho de 2015. Retrieved from: http://www.planalto.gov.br/ccivil_03/_ato2015-2018/2016/lei/l13281.htm. Last access: 11/04/2018.
Bauchspiess, A. (2008) Introdução aos Sistemas Inteligentes. Apostila da disciplina Introdução ao Controle Inteligente Numérico. Departamento de Engenharia Elétrica, Universidade de Brasília, 78p. Avaliable in: http://www.ene.unb.br/adolfo/Lectures/ ICIN/isi.pdf. Last access: 20/06/2018.
Carlsson, C. and R. Fullér (1996) Fuzzy multiple criteria decision making: Recent developments. Fuzzy Sets and Systems, v. 78, p. 139-153. DOI: https://doi.org/10.1016/0165-0114(95)00165-4
CONTRAN (2007) Conselho Nacional de Trânsito. Manual Brasileiro de Sinalização de Trânsito. Sinalização Vertical de Regulamentação – Volume 1. 2ª Edição.
Correia, G. H. A. and A. B. Silva (2011) Setting Speed Limits on Rural Two-Lane Highways by Modeling the Relationship between Expert Judgment and Measurable Roadside Characteristics. Journal of Transpor-tation Engineering, v. 137, nº 3, p. 184-192. DOI: 10.1061/(ASCE)TE.1943-5436.0000210
DfT (2012) Departament of Transportation. Setting local speed limits. DfT Circular 01/2013. London, United Kingdom. 42p.
Devellis, R. F. (2017) Scale Development: Theory and Applications. SAGE, Thousand Oaks, CA, 306p.
DNER (1999) Departamento Nacional de Estradas de Rodagem. Manual de Projeto Geométrico de Rodovias Rurais. Publicação 706. 195 p.
Fitzpatrick, K.; P. Carlson; M. A. Brewer; M. D. Wooldridge; and S. Miaou (2003) Design Speed, Operating Speed, and Posted Speed Practices. Transportation Research Board. National Cooperative Highway Re-search Program. Report 504. Washington, D.C., United States.
George, L. E. and P. Mallery (2003) SPSS for Windows step by step: A simple guide and reference. Allyn and Bacon, Boston, MA, 386 p.
Gonçalves, F. (2016) Algoritmos Genéticos. Apostila – Faculdade de Engenharia Elétrica e Computação, Uni-camp, 20p. Retrieved from: https://andreric.github.io/posts/2018/05/blog-post-2/. Last access: 07/07/2019.
Gregório, N.; A. B. Silva; and A. Seco (2016) Speed management in rural two-way roads: speed limit definition through expert-based system. Transportation Research Procedia, v. 13, p. 166-175. DOI: 10.1016/j.trpro.2016.05.017
Han, J.; J. Pei; and M. Kamber (2006) Data Mining. Pearson, Elsevier, San Francisco, CA 800 p.
Hu, Y. (2009) Fuzzy multiple-criteria decision making in the determination of critical criteria for assessing service quality of travel websites. Expert Systems with Applications, v. 36, p. 6439-6445. DOI: 10.1016/j.eswa.2008.07.046
Hu, J. W.; Y. Hu; and H. Bein (2011) Constructing a Corporate Social Responsibility Fund Using Fuzzy Multiple Criteria Decision Making. International Journal of Fuzzy Systems, v. 13, p. 195-205. DOI: 10.30000/IJFS.201109.0005
Mardani, A.; A. Jusoh; and E. K. Zavadskas (2015) Fuzzy multiple criteria decision-making techniques and applications – Two decades review from 1994 to 2014. Expert Systems with Applications, v. 42, p. 4126-4148. DOI: https://doi.org/10.1016/j.eswa.2015.01.003
Marques, E. C. S. (2012) Fatores a Serem Considerados para a Definição de Velocidade Limite em Rodovias Brasileiras. Dissertação de Mestrado em Transportes, Publicação T. DM – 006 A/2012. Departamento de Engenharia Civil e Ambiental, Universidade de Brasília, 126p.
Mathworks (2018) Available in: https://www.mathworks.com/?s_tid=gn_logo. Last access: 30/11/2018.
Mitchell, M. (1998) An Introduction to Genetic Algorithms. The MIT Press, Boston, MA, 162 p.
MUTCD (2009) Manual on Uniform Traffic Control Devices for Streets and Highways. 2009 Edition. Washing-ton, D.C., United States.
Pecheva, A.; K. Atanassov; and A. Shannon (2009) Modelling of a Stochastic Universal Sampling Selection Operator in Genetic Algorithms. Tenth International Workshop on Generalized Nets, Sofia, v.1, p. 1-7.
Sakawa, M. (2001) Genetic Algorithms and Fuzzy Multiobjective Optimization. Interfaces, Norwell, MA, 1093 p.
Zadeh, L. A. (1965) Fuzzy Sets. Information and Control, v.8, p. 338-353. DOI: https://doi.org/10.1016/S0019-9958(65)90241-X
Zadeh, L. A. (1973) Outline of a New Approach to the Analysis of Complex Systems and Decision Processes. IIEE Transactions on Systems, Man, And Cybernetics, v. SMC-3, nº 1. DOI: 10.1109/TSMC.1973.5408575
Downloads
Published
How to Cite
Issue
Section
License
Authors who submit papers for publication by TRANSPORTES agree to the following terms:
- Authors retain copyright and grant TRANSPORTES the 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 may enter into separate, additional contractual arrangements for the non-exclusive distribution of this 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 TRANSPORTES.
- Authors are allowed and encouraged to post their work online (e.g., in institutional repositories or on their website) after publication of the article. Authors are encouraged to use links to TRANSPORTES (e.g., DOIs or direct links) when posting the article online, as TRANSPORTES is freely available to all readers.
- Authors have secured all necessary clearances and written permissions to published the work and grant copyright under the terms of this agreement. Furthermore, the authors assume full responsibility for any copyright infringements related to the article, exonerating ANPET and TRANSPORTES of any responsibility regarding copyright infringement.
- Authors assume full responsibility for the contents of the article submitted for review, including all necessary clearances for divulgation of data and results, exonerating ANPET and TRANSPORTES of any responsibility regarding to this aspect.
