{"title":"Expert-Driving-Criteria Based on Fuzzy Logic Approach for Intelligent Driving Diagnosis","authors":"Andr\u00e9s C. Cuervo Pinilla, Christian G. Quintero M., Chinthaka Premachandra","volume":92,"journal":"International Journal of Electronics and Communication Engineering","pagesStart":1565,"pagesEnd":1572,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10003703","abstract":"This paper considers people’s driving skills
\r\ndiagnosis under real driving conditions. In that sense, this research
\r\npresents an approach that uses GPS signals which have a direct
\r\ncorrelation with driving maneuvers. Besides, it is presented a novel
\r\nexpert-driving-criteria approximation using fuzzy logic which
\r\nseeks to analyze GPS signals in order to issue an intelligent driving
\r\ndiagnosis.
\r\nBased on above, this works presents in the first section the
\r\nintelligent driving diagnosis system approach in terms of its own
\r\ncharacteristics properties, explaining in detail significant
\r\nconsiderations about how an expert-driving-criteria approximation
\r\nmust be developed. In the next section, the implementation of our
\r\ndeveloped system based on the proposed fuzzy logic approach is
\r\nexplained. Here, a proposed set of rules which corresponds to a
\r\nquantitative abstraction of some traffics laws and driving secure
\r\ntechniques seeking to approach an expert-driving- criteria
\r\napproximation is presented.
\r\nExperimental testing has been performed in real driving
\r\nconditions. The testing results show that the intelligent driving
\r\ndiagnosis system qualifies driver’s performance quantitatively with
\r\na high degree of reliability.","references":"[1] L. Sminkey, \u201cEl Decenio de Acci\u00f3n para la Seguridad Vial 2011-2020\r\nde la ONU,\u201d 2013.\r\n[2] World Health Organization, Global status report on road safety.\r\nGeneve: World Health Organization, 2013, p. 318.\r\n[3] A. C. Cuervo Pinilla, C. G. Quintero M, and J. O. Lopez, \u201cIntelligent\r\ndriving diagnosis system applied to drivers modeling and high risk\r\nareas identification. An approach toward a real environment\r\nimplementation,\u201d in 2012 IEEE International Conference on Vehicular\r\nElectronics and Safety (ICVES 2012), 2012, pp. 111\u2013116.\r\n[4] C. G. Quintero M., J. O. Lopez, and A. C. Cuervo Pinilla, \u201cDriver\r\nbehavior classification model based on an intelligent driving diagnosis\r\nsystem,\u201d in 2012 15th International IEEE Conference on Intelligent\r\nTransportation Systems, 2012, pp. 894\u2013899.\r\n[5] G. C. M. Quintero, J. A. O. Lopez, and J. M. P. Rua, \u201cIntelligent\r\nerratic driving diagnosis based on artificial neural networks,\u201d in 2010\r\nIEEE ANDESCON, 2010, pp. 1\u20136.\r\n[6] Economic Commission for Europe Inland Transport Committee,\r\n\u201cWorld Forum for Harmonization of Vehicle Regulations 160th\r\nsession Geneva, 25 - 28 June 2013,\u201d Geneva, 25 - 28 June 2013, 2013.\r\n[7] G. Cambourakis, E. Kayafas, V. Loumos, and J. Tsatsakis, \u201cBlack box\r\nfor surface vehicles ARGOS analysis and software development,\u201d in\r\nProceedings of the IEEE International Symposium on Industrial\r\nElectronics, 1995, vol. 2, pp. 564\u2013568.\r\n[8] N. C. Chet, \u201cDesign of black box for moving vehicle warning system,\u201d\r\nStudent Conf. Res. Dev. SCORED 2003, pp. 193\u2013196, 2003.\r\n[9] J. S. Hickman and R. J. Hanowski, \u201cUse of a video monitoring\r\napproach to reduce at-risk driving behaviors in commercial vehicle\r\noperations,\u201d Transp. Res. Part F Traffic Psychol. Behav., vol. 14, no.\r\n3, pp. 189\u2013198, May 2011.\r\n[10] C.-C. Lin and M.-S. Wang, \u201cAn Implementation of a Vehicular Digital\r\nVideo Recorder System,\u201d in 2010 IEEE\/ACM Int\u2019l Conference on\r\nGreen Computing and Communications & Int'l Conference on Cyber,\r\nPhysical and Social Computing, 2010, pp. 907\u2013911.\r\n[11] T. Michler, T. Ehlers, and J.-U. Varchmin, \u201cVehicle diagnosis -","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 92, 2014"}