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Impact of ADAS in Insurance Pricing

dc.contributor.advisorGuerreiro, Gracinda Rita Diogo
dc.contributor.authorJordão, Pedro Manuel Rodrigues
dc.date.accessioned2023-02-13T18:05:25Z
dc.date.available2023-02-13T18:05:25Z
dc.date.issued2023-01-24
dc.descriptionDissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and Managementpt_PT
dc.description.abstractAccording to EU commission statements dated of 2019, around 95% of car accidents in the EU have some type of human error involved. Autonomous cars may reduce this number significantly and improve road safety thanks to many softwares and driving aids. It is expected that the self-driving vehicles’ market grows exponentially and reaches profits of up to 620 billion euros by 2025. This is due to its environmental footprint and the reduced financial cost of electric energy. However, this increasing autonomy has raised awareness in the insurance industry. Cars’ automation is not currently a factor used in insurance pricing models. The purpose of this project is to detail the difference in claim frequency and claim amount for cars with ADAS (Advanced Driver Assistance Systems) and analyze if this should be taken into account when calculating car insurance premiums. Generalized linear models, along with Decision Trees will be used to analyze the impact of ADAS in aggregated claim amount.pt_PT
dc.identifier.tid203221818pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/149111
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectADASpt_PT
dc.subjectCar Insurancept_PT
dc.subjectGeneralized Linear Modelpt_PT
dc.subjectInsurance Premiumpt_PT
dc.subjectDecision Treept_PT
dc.titleImpact of ADAS in Insurance Pricingpt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Estatística e Gestão de Informação, especialização em Análise e Gestão de Riscopt_PT

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