Usage-Based Vehicle Insurance: Driving Style Factors of Accident Probability and Severity

• Tác giả: Konstantin Korishchenko, Daria Petrova, Nikolay Pilnik, Ivan Stankevich
• Ngôn ngữ: eng
• Ký hiệu phân loại: 155.936 Accidents
• Thông tin xuất bản: 2019
• Bộ sưu tập: Metadata
• ID: 163431

Tóm tắt

The paper introduces an approach to telematics devices data application in automotive insurance. We conduct a comparative analysis of different types of devices that collect information on vehicle utilization and driving style of its driver, describe advantages and disadvantages of these devices and indicate the most efficient from the insurer point of view. The possible formats of telematics data are described and methods of their processing to a format convenient for modelling are proposed. We also introduce an approach to classify the accidents strength. Using all the available information, we estimate accident probability models for different types of accidents and identify an optimal set of factors for each of the models. We assess the quality of resulting models using both in-sample and out-of-sample estimates.