{"title":"Simulation model of public transportation system using multiagent approach by means of Petri Nets: Bogotá study case","authors":"D. Lopez, A. Triana, H. Chamorro","doi":"10.1109/LARC.2011.6086820","DOIUrl":null,"url":null,"abstract":"In this paper a simulation model for a very used public transportation system in Bogotá (Transmilenio) by means of Petri Nets is presented. The modeling of the system is done using a multiagent approach in order to simulate and analyse the resources involved to supply the passengers' demand in rush hour. Petri Nets are used in order to simplify the complexity of the model graphically to describe the system behaviour. Real data are acquired to make the model more realistic. Furthermore, an experimental methodology is used to verify the accuracy of the proposed model and validate the simulation results.","PeriodicalId":419849,"journal":{"name":"IX Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, 2011 IEEE","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IX Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, 2011 IEEE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LARC.2011.6086820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
In this paper a simulation model for a very used public transportation system in Bogotá (Transmilenio) by means of Petri Nets is presented. The modeling of the system is done using a multiagent approach in order to simulate and analyse the resources involved to supply the passengers' demand in rush hour. Petri Nets are used in order to simplify the complexity of the model graphically to describe the system behaviour. Real data are acquired to make the model more realistic. Furthermore, an experimental methodology is used to verify the accuracy of the proposed model and validate the simulation results.