Abstract Generalized Linear Models (GLMs) and XGBoost are widely used in insurance risk
pricing and claims prediction, with GLMs dominant in the insurance industry. The increasing …

Usage-based insurance has allowed insurers to dynamically tailor insurance premiums by
understanding when and how safe policyholders drive. However, telematics information can …

Advanced driver assistance systems (ADAS) present promising benefits in mitigating road
collisions. However, these benefits are limited when risky drivers continue engaging in …

A telematics device is a vehicle instrument that comes preinstalled by the vehicle
manufacturer or can be added later. The device records information about driving behavior …

Road accident fatalities and accident severity costs have become top priorities and concerns
for Chinese policymakers. Understanding the principal factors that explain accident severity …

Autonomous vehicles (AVs) are expected to considerably improve road safety. That said,
accident risk will continue to inflict societal costs. The ability to manage and measure these …

Traffic incidents occurring on the road interrupt the smooth mobility of traffic flow and lead to
traffic congestion. Although there has been a proliferation of studies that attempt to estimate …

The transition to semiautonomous driving is set to considerably reduce road accident rates
as human error is progressively removed from the driving task. Concurrently, autonomous …

Road safety analysis is typically performed by domain experts on the basis of the information
contained in accident reports. The main challenges are the difficulty of considering a large …

This study investigates the impact that delta-V, the relative change in vehicle velocity pre-
and post-crash, has on the severity of motor vehicle collisions (MVCs). We study injury …