Results 31 to 40 of about 27,802 (258)
Assessing driving risk through unsupervised detection of anomalies in telematics time series data [PDF]
ASTIN Bulletin: The Journal of the International Actuarial AssociationVehicle telematics provides granular data for dynamic driving risk assessment, but current methods often rely on aggregated metrics (e.g., harsh braking counts) and do not fully exploit the rich time-series structure of telematics data. In this paper, we
I. Chan, Andrei L. Badescu, X. Lin
semanticscholar +1 more source
A Mobile Telematics Pattern Recognition Framework for Driving Behavior Extraction
IEEE transactions on intelligent transportation systems (Print), 2021 Mobile telematics is a relatively new innovation that involves collecting data on driving behavior using the internal sensors in a smartphone rather than from an in-vehicle data recorder.
M. Siami, M. Naderpour, Jie Lu
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print), 2022 A myriad of connected vehicles collects large-scale telematics data throughout cities, enabling data-based infrastructure planning. To truly benefit from this emerging technology, it is important to integrate pervasive telematics data with map data to ...
Patrick Alrassy, Jin-Woo Jang, A. Smyth
semanticscholar +1 more source
Using transport telematics and remote diagnostics to improve vehicle maintenance and repair
Весці Нацыянальнай акадэміі навук Беларусі: Серыя фізіка-тэхнічных навук, 2020 The article considers the possibility of using planned-prevention system in modern conditions. The system of vehicle telematics and remote diagnostics allows you to automate the getting of correction coefficients to determine the standard values of labor
A. S. Gurski, V. S. Ivashko
doaj +1 more source
The revolution that did not happen: Telematics and car insurance in the 2010s
Big Data & Society, 2022 Attempts to use Big Data to transform car insurance pricing in France have failed. Why? Three possible explanations are discussed: organisational and cognitive inertia, normative preventions, and deliberate strategy.
Pierre Francois, Théo Voldoire
semanticscholar +1 more source
Insurance Telematics Using GPS Tracker and Smartphone
, 2017 Insurance telematics is widely used in Europe by young and first-time car drivers[1] [1]. It relies on an insurance premium that is based not only on static measures, but also on dynamic measures. The dynamic measures are the current position of vehicle,
Tomislav Vujinović +2 more
core +2 more sources
Information Systems and E-Business Management, 2022 Internet of Things (IoT) technology transforms freight transport operations by adopting novel data-driven services and enables information sharing among actors involved in global transport chains.
C. Heinbach, P. Meier, O. Thomas
semanticscholar +1 more source
Near‐miss telematics in motor insurance
Journal of Risk and Insurance, 2021 We present a method to integrate telematics data in a pay ‐ how ‐ you ‐ drive insurance pricing scheme that penalizes some near ‐ miss events. We illustrate our method with a sample of drivers for whom information on near ‐ miss events and claims ...
Montserrat Guillén +2 more
semanticscholar +1 more source
How Much Telematics Information Do Insurers Need for Claim Classification? [PDF]
North American Actuarial Journal, 2021 It has been shown several times in the literature that telematics data collected in motor insurance help to better understand an insured’s driving risk.
Francis Duval, J. Boucher, M. Pigeon
semanticscholar +1 more source
Telematics and recent trends in automotive insurance and other types of insurance [PDF]
Anali Ekonomskog fakulteta u Subotici, 2018 Rapid development, innovations and the blend of different technologies have brought about the development of new IT-communication products. Cloud computing, the Internet of things, mobile devices, telematics etc.
Gvozdenović Nebojša, Uzelac Ozren
doaj