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Marketing analysis of the global market of telematics transport and information management systems
Вестник университета, 2023 The article presents the results of marketing analysis of the global high-tech market of telematics transport and information management systems. The main trends in and factors of development of automotive telematics devices’ product line are analyzed ...
I. Yu. Okolnishnikova +2 more
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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, Jinwoo Jang, A. Smyth
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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
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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
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From Actuarial to Behavioural Valuation. The impact of telematics on motor insurance
Valuation Studies, 2022 Algorithmic predictions are used in insurance to assess the risk exposure of potential customers. This article examines the impact of digital tools on the field of motor insurance, where telematics devices produce data about policyholders’ driving styles.
Alberto Cevolini, E. Esposito
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Risks, 2022 Quantile regression provides a way to estimate a driver’s risk of a traffic accident by means of predicting the percentile of observed distance driven above the legal speed limits over a one year time interval, conditional on some given characteristics ...
Albert Pitarque, Montserrat Guillen
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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
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Multi-Sensor Data Fusion for Future Telematics Application [PDF]
Journal of Astronomy and Space Sciences, 2003 In this paper, we present multi-sensor data fusion for telematics application. Successful telematics can be realized through the integration of navigation and spatial information.
Seong-Baek Kim +4 more
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Entropy, 2021 This study proposes a method for identifying and evaluating driving risk as a first step towards calculating premiums in the newly emerging context of usage-based insurance.
Shuai Sun +3 more
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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
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