An active safety control method of collision avoidance for intelligent connected vehicle based on driving risk perception
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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… read more here.
Keywords: control; driving risk; safety; collision ... See more keywords
Evaluation of driving risk at different speeds
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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… read more here.
Keywords: risk different; evaluation driving; driving risk; different speeds ... See more keywords
End-to-End Autonomous Driving Risk Analysis: A Behavioural Anomaly Detection Approach
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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… read more here.
Keywords: end end; end; risk; driving risk ... See more keywords
Dynamic Driving Risk Potential Field Model Under the Connected and Automated Vehicles Environment and Its Application in Car-Following Modeling
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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… read more here.
Keywords: car following; potential field; driving risk; risk potential ... See more keywords
SafeDrive: A New Model for Driving Risk Analysis Based on Crash Avoidance
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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… read more here.
Keywords: surrounding vehicles; risk evaluation; risk; driving risk ... See more keywords
Interactive Trajectory Prediction Using a Driving Risk Map-Integrated Deep Learning Method for Surrounding Vehicles on Highways
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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… read more here.
Keywords: surrounding vehicles; vehicle; driving risk; trajectory ... See more keywords
Driving Risk Assessment Using Non-Negative Matrix Factorization With Driving Behavior Records
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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… read more here.
Keywords: driving behavior; risk; driving risk; method ... See more keywords
Research on Operation Characteristics and Safety Risk Forecast of Bus Driven by Multisource Forewarning Data
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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… read more here.
Keywords: peak hours; risk; driving risk; safety ... See more keywords
Forecasting Travel Speed in the Rainfall Days to Develop Suitable Variable Speed Limits Control Strategy for Less Driving Risk
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DOI: 10.1155/2021/6639559
Abstract: In order to reduce driving risk in the rainfall days, developing the variable speed limits (VSL) is effective. However, it is hard to develop suitable VSL aligning with travel speed of mainstream that it affected… read more here.
Keywords: speed; driving risk; rainfall days; travel speed ... See more keywords
Predicting Future Driving Risk of Crash-Involved Drivers Based on a Systematic Machine Learning Framework
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DOI: 10.3390/ijerph16030334
Abstract: The objective of this paper is to predict the future driving risk of crash-involved drivers in Kunshan, China. A systematic machine learning framework is proposed to deal with three critical technical issues: 1. defining driving… read more here.
Keywords: risk; machine learning; crash; driving risk ... See more keywords