Implementation of a Multivariable Modular Structure for Fuzzy Taxi Scheduling System (FTSS)

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dc.contributor.author Kouatli, Issam
dc.date.accessioned 2017-11-10T13:37:18Z
dc.date.available 2017-11-10T13:37:18Z
dc.date.copyright 2014 en_US
dc.date.issued 2017-11-10
dc.identifier.isbn 9.78148E+12 en_US
dc.identifier.uri http://hdl.handle.net/10725/6584 en_US
dc.description.abstract Taxi scheduling problem represent the heart of management problems for most Taxi companies. This is due to the fact that information in such environment is dynamic in nature with a high degree of uncertainty. Fuzzy logic can be utilized to deal with such uncertainty in the information. Genetic algorithm can be utilized for optimization of solution. This paper describes the implementation of a hybridized intelligent algorithm to reach a decision under uncertainty and to tune the possible solution using genetic algorithm. This hybridization is one type of Genetic Fuzzy system termed the Genetic Fuzzimetric Technique (GFT). GFT was used with AHP technique to develop a prototype system to illustrate the proposed solution to the taxi scheduling problem termed as “Fuzzy Taxi Scheduling System” (FTSS). The developed prototype can also act as an educational tool towards illustrating the mechanism of building modular multivariable fuzzy system. Using FTSS, five criteria were chosen as inputs and one needed output which is the score of specific driver/taxi. An example of 4 Taxis/Drivers with different characteristic values was executed on FTSS to achieve the final optimized Taxi choice. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Vehicular ad hoc networks (Computer networks) -- Congresses en_US
dc.subject Electronics in transportation -- Congresses en_US
dc.subject Intelligent transportation systems -- Congresses en_US
dc.title Implementation of a Multivariable Modular Structure for Fuzzy Taxi Scheduling System (FTSS) en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SOB en_US
dc.author.idnumber 200301034 en_US
dc.author.department Department of Information Technology and Operations Management (ITOM) en_US
dc.description.embargo N/A en_US
dc.publication.place Piscataway, N.J. en_US
dc.keywords Public transportation en_US
dc.keywords Biological cells en_US
dc.keywords Vehicles en_US
dc.keywords Fuzzy logic en_US
dc.keywords Shape en_US
dc.keywords Optimization en_US
dc.keywords MIMO en_US
dc.description.bibliographiccitations Includes bibliographical references and author index. en_US
dc.identifier.doi http://dx.doi.org/10.1109/ICCVE.2014.7297700 en_US
dc.identifier.ctation Kouatli, I. (2014, November). Implementation of a multivariable modular structure for Fuzzy Taxi Scheduling System (FTSS). In Connected Vehicles and Expo (ICCVE), 2014 International Conference on (pp. 959-965). IEEE. en_US
dc.author.email issam.kouatli@lau.edu.lb en_US
dc.conference.date 3-7 November 2014 en_US
dc.conference.pages 959-965 en_US
dc.conference.place Vienna, Austria en_US
dc.conference.subtitle proceedings en_US
dc.conference.title 2014 International Conference on Connected Vehicles and Expo (ICCVE) en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://ieeexplore.ieee.org/abstract/document/7297700/ en_US
dc.publication.date 2014 en_US
dc.author.affiliation Lebanese American University en_US

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