DTA

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Tesi etd-01172020-152549

Type of thesis
Master univ. II liv.
Author
CUPELLINI, FEDERICO
URN
etd-01172020-152549
Title
Retrospective analysis-method for estimating the effect of Advanced Driver Assistance Systems on the costs of car crashes
Structure
Istituto di Management
Course
Corsi Alta Formazione - MASTER IN MANAGEMENT OF INNOVATION - MAINS
Committee
relatore Prof. RAPACCINI, MARIO
Tutor Ing. IANNELLO, CALOGERO
Keywords
  • dynamic capabilities
  • road safety
  • sicurezza stradale
Exam session start date
;
Availability
parziale
Abstract
Advanced driver assistance systems (ADAS) are a type of technologies fitted on vehicles designed to improve<br>safety. ADAS help drivers through warnings or autonomous intervention to avoid dangerous situations or<br>mitigate the effects of a crash. Laboratory tests suggest that ADAS can provide a marked reduction in crash<br>rates, however real-world evidence on ADAS effectiveness is limited. This study investigates a strategy to<br>analyze the impact of ADAS technologies presence on the likelihood of crashes and the monetary impact for<br>the fleet of the largest long-term rental provider in Italy. Vehicle ADAS presence, and characteristics for cars<br>registered since 2016, was identified through quotation-coded options data (n=1,987). ADAS technologies<br>considered include lane keeping assist, parking assist and emergency braking. Arval accident management<br>data (from January 2016 to August 2019) were merged with vehicle data by VIN, identifying vehicles in-<br>volved in accidents (n=483). Data included accident insurance class and total cost of repairs. Using Cox<br>proportional hazards regression modeling (following (Chang and Jovanis 1990)), we calculate the adjusted<br>hazard ratio for accidents among Arval vehicles equipped versus not equipped with ADAS. The percentage<br>reduction in crashes related to ADAS presence is interpreted as one minus the hazard ratio. Moreover a<br>multivariate analysis is performed, creating a model to predict accidents occurence and crash costs. Conclu-<br>sion: This study provides a methodology for the analysis of ADAS technologies effectiveness in the fleet of<br>a major Italian long term vehicle rental provider.
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