Results 181 to 190 of about 48,663,700 (216)
Some of the next articles are maybe not open access.
Simulation Engine for Adaptive Telematics Data
VarianceThis article introduces a simulation engine for adaptive telematics (SEAT), which flexibly generates insurance claims datasets from driver telematics information that matches the specific profile of a target market.
Banghee So, Himchan Jeong
semanticscholar +1 more source
Ai Explainability In Insurance Applications With Telematics Data
International Journal of Advanced Scientific DiscoveriesThis paper describes a step-by-step process of creating an insurance-based application that predicts insurance premium using Artificial Intelligence (AI) method of machine learning (ML). Artificial Intelligence technologies will have a high impact on all
R. Bhojan +4 more
semanticscholar +1 more source
Auto Insurance Pricing Using Telematics Data: Application of a Hidden Markov Model
North American Actuarial JournalThis study develops a hidden Markov model (HMM)-based clustering framework to predict auto insurance losses using driving characteristics extracted from telematics data.
Qiao Jiang, Tianxiang Shi
semanticscholar +1 more source
Transportation Research Record
Traffic safety analysis relies heavily on the comprehensiveness of traffic crash data. However, crash occurrences are rare events. Researchers have sought alternative measures closely linked to crash occurrences, known as surrogate safety measures, to ...
Manmohan Joshi +5 more
semanticscholar +1 more source
Traffic safety analysis relies heavily on the comprehensiveness of traffic crash data. However, crash occurrences are rare events. Researchers have sought alternative measures closely linked to crash occurrences, known as surrogate safety measures, to ...
Manmohan Joshi +5 more
semanticscholar +1 more source
Journal of Safety Research
INTRODUCTION Driver distraction from handheld cellphone use contributes to fatal crashes every year but is underreported in terms of the proportion of crashes attributed to any distraction or cellphone use specifically.
Ian J. Reagan +2 more
semanticscholar +1 more source
INTRODUCTION Driver distraction from handheld cellphone use contributes to fatal crashes every year but is underreported in terms of the proportion of crashes attributed to any distraction or cellphone use specifically.
Ian J. Reagan +2 more
semanticscholar +1 more source
Using telematics data to find risky driver behaviour.
Accident Analysis and Prevention, 2019Usage-based insurance schemes provide new opportunities for insurers to accurately price and manage risk. These schemes have the potential to better identify risky drivers which not only allows insurance companies to better price their products but it ...
M. Winlaw +3 more
semanticscholar +1 more source
The use of context-sensitive insurance telematics data in auto insurance rate making
Transportation Research Part A: Policy and Practice, 2018Historically, auto insurers use various socio-demographic underwriting factors to differentiate driver risks. With the invention of GPS devices, information such as mileage, traffic condition and driving habits can be incorporated into auto insurance ...
Yu-Luen Ma +3 more
semanticscholar +1 more source
Use of Vehicle Telematics Data to Characterize Drayage Heavy-Duty Truck Idling
, 2020The goal of this study is to evaluate potential air-quality applications of global positioning system (GPS) data from trucks in the Houston–Galveston Area Council’s (H-GAC) Drayage Loan Program (DLP), along with data collection using portable activity ...
Reza Farzaneh +4 more
semanticscholar +1 more source