Results 71 to 80 of about 27,802 (258)
Integration of logistic services quality in telematics [PDF]
, 2008 Article is present talk away integration quality services telematics. Presentation of result of author research is purpose of article over quality of logistical services at utilization of instrument among chosen operators of logistical functioning ...
Figura, J.
core
IDEALS, a Telematics Based Training Environment for the Future
, 2022 S.102-106Based on the results of and experience gathered during several national and international training and teaching projects, this paper addresses key issues in the design, realisation and usage of a Telematics based training environment for the ...
Brisson Lopes, J.M. +3 more
core +1 more source
Predicting Motor Insurance Claims Using Telematics Data—XGBoost versus Logistic Regression
Risks, 2019 XGBoost is recognized as an algorithm with exceptional predictive capacity. Models for a binary response indicating the existence of accident claims versus no claims can be used to identify the determinants of traffic accidents.
Jessica Pesantez-Narvaez +2 more
semanticscholar +1 more source
Atmosphere, 2021 The combine harvester (CH) is one of the most important machines with the most powerful engine used in the agricultural sector. It consumes significant amounts of diesel fuel and harms ambient air by releasing emissions.
Dainius Savickas +2 more
semanticscholar +1 more source
Driven by risk: Understanding reference‐dependent preferences using simulated auto racing
Journal of Risk and Insurance, EarlyView.Abstract Using data from over 56,000 simulated auto races worldwide, we analyze risk‐taking at the margins, consistent with reference‐dependent preferences. We show that participants' risk‐taking changes when a desired intermittent outcome is presented, sometimes at the expense of a more favorable expected end state.
James Hilliard +2 more
wiley +1 more source
Journal of Road Safety, 2018 Recent developments in telematics technology provide the opportunity to improve driver behaviour by rewarding good driving. Vehicle insurance companies in Europe and North America have successfully introduced pay-how-you-drive (PHYD) insurance policies ...
Michael Paine
doaj
Journal of Risk and Insurance, EarlyView.Abstract High‐emission private vehicles disproportionately contribute to urban air pollution and road accidents, both major public health threats and leading causes of death among young adults. Balancing individual driving behavior with collective environmental responsibility necessitates strategies that promote safer and cleaner driving.
Juan Sebastian Yanez +3 more
wiley +1 more source
Fairness‐aware insurance pricing: A multi‐objective optimization approach
Journal of Risk and Insurance, EarlyView.Abstract Machine‐learning models can provide accurate predictions in insurance pricing, but can also increase disparities between protected groups. Existing fairness‐aware pricing approaches typically target one fairness notion at a time, making it difficult to compare trade‐offs between predictive accuracy, group fairness, individual fairness, and ...
Tim J. Boonen, Xinyue Fan, Zixiao Quan
wiley +1 more source
Boosting Poisson regression models with telematics car driving data
Machine-mediated learning, 2020 With the emergence of telematics car driving data, insurance companies have started to boost classical actuarial regression models for claim frequency prediction with telematics car driving information.
Guangyuan Gao +2 more
semanticscholar +1 more source
Obesity Reviews, EarlyView.ABSTRACT Background Obesity arises from complex interactions among genetic, biological, behavioral, and environmental factors. Traditional “one‐size‐fits‐all” interventions often yield modest, short‐term outcomes, failing to account inter‐individual variability.
Eva Karaglani +34 more
wiley +1 more source