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Use of data from telematic devices to predict the probability of accident


Pilnik N.P., Stankevich I.P., Korischenko K.N.
(about the authors)

Pilnik Nikolay Petrovich – (The National Research University Higher School of Economics (HSE); Advanced Financial Planning, Macroeconomic Analysis and Finance Statistics Center, Financial Research Institute )

Stankevich Ivan Pavlovich – (The National Research University Higher School of Economics (HSE))

Korischenko Konstantin Nikolaevich – (The Russian Presidential Academy of National Economy and Public Administration)

Published in:
Global Markets and Financial Engineering (Russian version)
– Volume 4, Number 3 (July-September 2017)

JEL classification: L62, L69

Keywords: driving style, probability of accident, road traffic accident


Citation:
Pilnik N.P., Stankevich I.P., Korischenko K.N. (2017). Use of data from telematic devices to predict the probability of accident. Global Markets and Financial Engineering (Russian version), 4(3), 165-180. doi: 10.18334/grfi.4.3.38805


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Abstract:

The article analyzes the impact of driving style on the probability of getting into an accident. Driving style indicators are calculated on the basis of data from telematic devices installed in cars, accident data are provided by the insurance company. All accidents are divided into three groups according to severity, depending on the ratio of losses and the sum insured, individual models are considered both for the fact of getting into an accident and for each of the groups. We mark out the main factors that determine the accident rate of cars; they include mileage, sudden acceleration, average speed, maximum speeds at different times of the day, and a number of other factors. We draw conclusions for the state policy in the field of traffic regulation







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