Results 171 to 180 of about 48,663,700 (216)

Handheld Cellphone Use and Risky Driving in Adolescents.

open access: yesJAMA Netw Open
McDonald CC   +6 more
europepmc   +1 more source

The value of vehicle telematics data in insurance risk selection processes

open access: yesDecision Support Systems, 2017
The advent of the Internet of Things enables companies to collect an increasing amount of sensor generated data which creates plenty of new business opportunities.
Philippe Baecke, Lorenzo Bocca
semanticscholar   +2 more sources

Context-aware driver risk prediction with telematics data.

Accident Analysis and Prevention, 2023
Driving risk prediction is crucial for safety and risk mitigation. While traditional methods rely on demographic information for insurance pricing, they may not fully capture actual driving behavior. To address this, telematics data has gained popularity.
Sobhan Moosavi, Rajiv Ramnath
semanticscholar   +1 more source

Data Mining of Telematics Data: Unveiling the Hidden Patterns in Driving Behavior

, 2023
With the advancements in technology, telematics data that capture vehicle movement information are becoming available to more insurers. Because these data capture the actual driving behavior, they are expected to improve our understanding of driving risk
I. Chan   +3 more
semanticscholar   +1 more source

Intelligent Transportation System: Application of Telematics Data for Road Safety

International Conference on Information Management, 2023
Road safety is a growing concern as the number of vehicles on road increase yearly. Road related accidents is within the top ten cause of death globally and number one cause of death for youth between the ages of 19-29 years old.
F. Tarlochan, Semira O. Mohammed
semanticscholar   +1 more source

Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data

Statistical analysis and data mining, 2022
With the development of vehicle telematics and data mining technology, usage‐based insurance (UBI) has aroused widespread interest from both academia and industry.
Yaqian Gao, Yifan Huang, Shengwang Meng
semanticscholar   +1 more source

High-Fidelity Heavy-Duty Vehicle Modeling Using Sparse Telematics Data

SAE technical paper series, 2022
H eavy-duty commercial vehicles consume a significant amount of energy due to their large size and mass, directly leading to vehicle operators prioritizing energy efficiency to reduce operational costs and comply with environmental regulations.
Kyle Carow   +6 more
semanticscholar   +1 more source

Automobile Usage-Based-Insurance: : Improving Risk Management using Telematics Data

Iberian Conference on Information Systems and Technologies, 2022
The development of in-vehicle telecommunication devices (telematics)-technology, wireless connectivity, machine-to-machine communication, and mobile applications powered the development of usage-based insurance tracking vehicle distance driven and ...
Lourenco Cunha, J. Bravo
semanticscholar   +1 more source

Extracting Insights from Large-Scale Telematics Data for ITS Applications: Lessons and Recommendations

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)
Over 90% of new vehicles in the United States now collect and transmit telematics data. Similar trends are seen in other developed countries. Transportation planners have previously utilized telematics data in various forms, but its current scale offers ...
Gibran Ali   +4 more
semanticscholar   +1 more source

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