Detalhes bibliográficos
| Resumo: | According 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. |
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| Autores principais: | Jordão, Pedro Manuel Rodrigues |
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| Assunto: | ADAS Car Insurance Generalized Linear Model Insurance Premium Decision Tree |
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| Ano: | 2023 |
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| País: | Portugal |
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| Tipo de documento: | dissertação de mestrado |
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| Tipo de acesso: | acesso aberto |
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| Instituição associada: | Universidade Nova de Lisboa |
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| Idioma: | inglês |
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| Origem: | Repositório Institucional da UNL |
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