Classifying Drivers' Behavior in Public Transport using Inertial Measurement Units and Decision Trees

Simple item page
dc.contributor.authorCatalán Salas, Hernán Felipe
dc.contributor.authorLöbel Díaz, Hans-Albert
dc.contributor.authorHerrera Maldonado, Juan Carlos
dc.date.accessioned2022-05-11T20:26:38Z
dc.date.available2022-05-11T20:26:38Z
dc.date.issued2018
dc.description.abstractSantiago's public transit system uses a Passenger Service Quality Index (ICA) to measure the quality of service offered by buses companies. Parts of this index are related to bus driver's behavior, and are obtained in a superficial and very subjective manner. The main objective of this research is to formulate a new methodology that uses data provided by inertial measurement units to classify drivers' behavior. This is achieved by means of a classification method: decision trees. Data are collected to evaluate the method and results show that the use of decision trees delivers good performance and an interpretable output that allows further analysis. The proposal uses elements from the ICA index and produces a methodology that is simple, objective and capable of being implemented on a large scale with good performance at a low cost.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/ITSC.2018.8569404
dc.identifier.eisbn978-1-7281-0323-5
dc.identifier.eissn2153-0017
dc.identifier.isbn9781728103211
dc.identifier.issn2153-0009
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8569404
dc.identifier.urihttps://doi.org/10.1109/ITSC.2018.8569404
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/63804
dc.information.autorucEscuela de ingeniería ; Catalán Salas, Hernán Felipe ; S/I ; 193981
dc.information.autorucEscuela de ingeniería ; Lobel Díaz, Hans Albert ; S/I ; 131278
dc.information.autorucEscuela de ingeniería ; Herrera Maldonado, Juan Carlos ; S/I ; 3146
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final222
dc.pagina.inicio217
dc.publisherIEEE
dc.relation.ispartofInternational Conference on Intelligent Transportation Systems (ITSC) (21° : Maui, Estados Unidos), 2018
dc.rightsacceso restringido
dc.subjectDecision trees
dc.subjectAcceleration
dc.subjectIndexes
dc.subjectTraining
dc.subjectData models
dc.subjectMeasurement units
dc.titleClassifying Drivers' Behavior in Public Transport using Inertial Measurement Units and Decision Treeses_ES
dc.typecomunicación de congreso
sipa.codpersvinculados193981
sipa.codpersvinculados131278
sipa.codpersvinculados3146
Files
Collections
Artículos de conferencia