Results 21 to 30 of about 48,663,700 (216)
Driver behavior indices from large-scale fleet telematics data as surrogate safety measures.
Accident Analysis and Prevention, 2022 Large-scale telematics data enable a high-resolution inference of road network's safety conditions and driver behavior. Although many researchers have investigated how to define meaningful safety surrogates and crash predictors from telematics, no ...
Patrick Alrassy, A. Smyth, Jin-Woo Jang
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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, Jin-Woo Jang, A. Smyth
semanticscholar +1 more source
IEEE Access, 2022 With the development of mature communication network technologies such as 5G, edge computing and slicing, business applications in areas such as telematics and intelligent transportation need the support of vehicle-road collaboration technologies. Due to
Zhi Ma, Songlin Sun
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Millennials Acceptance of Insurance Telematics: An Integrative Empirical Study
American Business Review, 2020 Insurance telematics is a recent technology-enabled service innovation advanced by insurance companies and adopted by millions of drivers worldwide.
Xiaoguang Tian +3 more
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Applied Sciences, 2023 Social Complex Networks in communication networks are pivotal for comprehending the impact of human-like interactions on information flow and communication efficiency.
Manuel A. López-Rourich +1 more
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Unravelling the predictive power of telematics data in car insurance pricing
, 2018 A data set from a Belgian telematics product aimed at young drivers is used to identify how car insurance premiums can be designed based on the telematics data collected by a black box installed in the vehicle.
Roel Verbelen +2 more
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NeuroImageAlzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and substantial brain atrophy. Early and accurate prediction of disease progression and staging is crucial for timely intervention and effective ...
A. Hernández +6 more
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Outlier Detection in Wearable Sensor Data for Human Activity Recognition (HAR) Based on DRNNs
IEEE Access, 2019 Wearable sensors provide a user-friendly and non-intrusive mechanism to extract user-related data that paves the way to the development of personalized applications.
Mario Munoz-Organero
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Risks, 2022 In automobile insurance, it is common to adopt a Poisson regression model to predict the number of claims as part of the actuarial pricing process. The Poisson assumption can rarely be justified, often due to overdispersion, and alternative modeling is ...
Jennifer S. K. Chan +4 more
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