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Published in 2021 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-020-01605-x
Abstract: As the complex driving scenarios bring about an opportunity for application of deep learning in safe driving, artificial intelligence based on deep learning has become a heatedly discussed topic in the field of advanced driving…
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Keywords:
control;
driving risk;
safety;
collision ... See more keywords
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Published in 2019 at "Insurance: Mathematics and Economics"
DOI: 10.1016/j.insmatheco.2019.06.004
Abstract: Abstract Telematics car driving data describes drivers’ driving characteristics. This paper studies the driving characteristics at different speeds and their predictive power for claims frequency modeling. We first extract covariates from telematics car driving data…
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Keywords:
risk different;
evaluation driving;
driving risk;
different speeds ... See more keywords
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Published in 2024 at "Scientific Data"
DOI: 10.1038/s41597-024-03353-6
Abstract: For highly autonomous vehicles, human does not need to operate continuously vehicles. The brain-computer interface system in autonomous vehicles will highly depend on the brain states of passengers rather than those of human drivers. It…
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Keywords:
risk;
highly automated;
automated driving;
risk cognition ... See more keywords
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Published in 2024 at "SLEEP"
DOI: 10.1093/sleep/zsae067.0539
Abstract: Continuous Positive Airway Pressure (CPAP) therapy is effective in reducing Excessive Daytime Sleepiness (EDS) and driving risk in the vast majority of Obstructive Sleep Apnea Syndrome (OSAS) patients. There is a need to identify predictors…
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Keywords:
near misses;
cpap treated;
cpap;
risk cpap ... See more keywords
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Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.2975043
Abstract: Autonomous vehicles (AV) have advanced considerably over the past decade and their potential to reduce road accidents is without equal. That said, the evolution towards fully automated driving will be accompanied by new and unfamiliar…
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Keywords:
end end;
end;
risk;
driving risk ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3008284
Abstract: This paper proposes a new dynamic driving risk potential field model under the connected and automated vehicles environment that fully considers the dynamic effect of the vehicle’s acceleration and steering angle. The statistical analysis of…
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Keywords:
car following;
potential field;
driving risk;
risk potential ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3033276
Abstract: Driving risk evaluation is a critical issue in driving safety analysis. In traditional driving risk evaluation models, vehicles are analyzed as isolated units. Nevertheless, vehicles are surrounded by other vehicles during driving in a real…
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Keywords:
surrounding vehicles;
risk evaluation;
risk;
driving risk ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3160630
Abstract: Accurate trajectory prediction of surrounding vehicles is vital for automated vehicles to achieve high-level driving safety in complex situations. However, most state-of-the-art approaches for multi-vehicle trajectory prediction ignore vehicle motion uncertainty caused by different driving…
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Keywords:
surrounding vehicles;
vehicle;
driving risk;
trajectory ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3193125
Abstract: Aggressive driving behavior (ADB) is a major cause of traffic accidents. As ADB is controllable, ADB-based driving risk assessment is an effective method for drivers and transportation companies to ensure driving safety. Conventionally, the relationships…
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Keywords:
driving behavior;
risk;
driving risk;
method ... See more keywords
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Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2025.3601620
Abstract: Quantifying the driving risks is the primary prerequisite for improving intelligent vehicles’ driving safety. However, the time-varying nature of driving risks brought on by the dynamic and complicated traffic environment makes it challenging to precisely…
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Keywords:
modeling method;
vehicle;
risk;
driving risk ... See more keywords
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Published in 2020 at "Journal of Advanced Transportation"
DOI: 10.1155/2020/6623739
Abstract: To prevent and control public transport safety accidents in advance and guide the safety management and decision-making optimization of public transport vehicles, based on the forewarning and other multisource data of public transport vehicles in…
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Keywords:
peak hours;
risk;
driving risk;
safety ... See more keywords