E-viri
-
Jordão, Pedro Manuel Rodrigues
01/2022Dissertation
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.
Vnos na polico
Trajna povezava
- URL:
Faktor vpliva
Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
---|---|---|---|---|---|---|---|---|
JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
Ime baze podatkov | Področje | Leto |
---|
Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
---|
Vir: Osebne bibliografije
in: SICRIS
To gradivo vam je dostopno v celotnem besedilu. Če kljub temu želite naročiti gradivo, kliknite gumb Nadaljuj.