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dc.contributor.advisorCruzado-Vélez, Ivette
dc.contributor.authorGonzález-Bonilla, Armando
dc.date.accessioned2018-09-11T17:50:17Z
dc.date.available2018-09-11T17:50:17Z
dc.date.issued2017
dc.identifier.urihttps://hdl.handle.net/20.500.11801/848
dc.description.abstractTransportation systems should be designed to move people and goods in an efficient and safe manner. Safety on roads and highways can be measured in terms of the number of traffic crashes that occur in a time period. Although there are many factors that could contribute to the occurrence of a vehicle crash, human factors are usually the most associated with a vehicle crash. Some of the common causes related to human factors that are associated with vehicle crash occurrence are distraction, reckless driving and driving under the influence of alcohol. Identifying drivers whose behavior and characteristics make them prone to being involved in vehicle crashes may be helpful in reducing the number of injuries and fatalities along roads and highways.
dc.description.sponsorshipTransportation Informatics University Transportation Centeren_US
dc.language.isoenen_US
dc.subjectVehicle crashen_US
dc.subjectTraffic violationsen_US
dc.subject.lcshTraffic accidents--Puerto Rico--Forecasting--Mathematical modelsen_US
dc.subject.lcshTraffic violations--Puerto Ricoen_US
dc.titleDevelopment of a vehicle crash prediction model based on driver characteristics and traffic violations historyen_US
dc.typeProject Reporten_US
dc.rights.licenseAll rights reserveden_US
dc.rights.holder(c) 2017 Armando González-Bonillaen_US
dc.contributor.committeeGonzález-Vélez, Enrique
dc.contributor.committeeTorres-Saavedra, Pedro A.
dc.contributor.representativeAlers-Valentín, Hilton
thesis.degree.levelM.S.en_US
thesis.degree.disciplineCivil Engineeringen_US
dc.description.noteEste proyecto no tiene abstract, se utilizó una parte de la introducción en su lugar
dc.contributor.collegeCollege of Engineeringen_US
dc.contributor.departmentDepartment of Civil Engineeringen_US
dc.description.graduationYear2017en_US


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