A cultural algorithm for the urban public transportation

Authors:
Laura Cruz Reyes;Carlos Alberto Ochoa Ortíz Zezzatti;Claudia Gómez Santillán;Paula Hernández Hernández;Mercedes Villa Fuerte
Affiliations:
División de Estudios de Posgrado e Investigación Juventino Rosas y Jesús Urueta s/n, Col Los mangos, Instituto Tecnológico de Ciudad Madero, Cd.Madero, Tamp, México;Instituto de Ingeniería y Tecnología, Universidad Autónoma de Ciudad Juárez, Cd Juárez, Chihuahua, México;División de Estudios de Posgrado e Investigación Juventino Rosas y Jesús Urueta s/n, Col Los mangos, Instituto Tecnológico de Ciudad Madero, Cd.Madero, Tamp, México;División de Estudios de Posgrado e Investigación Juventino Rosas y Jesús Urueta s/n, Col Los mangos, Instituto Tecnológico de Ciudad Madero, Cd.Madero, Tamp, México;División de Estudios de Posgrado e Investigación Juventino Rosas y Jesús Urueta s/n, Col Los mangos, Instituto Tecnológico de Ciudad Madero, Cd.Madero, Tamp, México
Venue:
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Year:
2010

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Abstract

In the last years the population of Leon City, located in the state of Guanajuato in Mexico, has been considerably increasing, causing the inhabitants to waste most of their time with public transportation As a consequence of the demographic growth and traffic bottleneck, users deal with the daily problem of optimizing their travel so that to get to their destination on time To give a solution to this problem of obtaining an optimized route between two points in a public transportation, a method based on the cultural algorithms technique is proposed Cultural algorithms are used in the generated knowledge in a set of time periods for a same population, using a belief space These types of algorithms are a recent creation The proposed method seeks a path that minimizes the time of traveling and the number of transfers The results of the experiment show that the technique of the cultural algorithms is applicable to these kinds of multi-objective problems.