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Accident Analysis & Prevention, 2021
The question of whether "people drive as they live" or whether "they are transformed behind the wheel" has been addressed in previous research but it mainly focused on anger and aggressive behaviors. Current research tries to go further and compares driving styles with their analogous living styles to analyze both convergence and divergence in both ...
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The question of whether "people drive as they live" or whether "they are transformed behind the wheel" has been addressed in previous research but it mainly focused on anger and aggressive behaviors. Current research tries to go further and compares driving styles with their analogous living styles to analyze both convergence and divergence in both ...
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Driving Style Recognition Considering Different Driving Scenes
2022 6th CAA International Conference on Vehicular Control and Intelligence (CVCI), 2022Lubing Zhang +5 more
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Driving style recognition using fuzzy logic
2012 IEEE International Conference on Vehicular Electronics and Safety (ICVES 2012), 2012Detection and classification of aggressive driving can be based on the use of physiological signals or biometric information like electrocardiogram, electro dermal activity, and respiration. This research proposes a driving performance inference system based on the signature of acceleration in the two dimensions and speed.
Ahmad Aljaafreh +2 more
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Multi-scenario driving style research based on driving behavior pattern extraction
Accident Analysis & PreventionAccurately analyzing drivers' driving styles is crucial for road safety and enhancing intelligent driving systems. However, existing studies have not fully explored the hidden information in driving sequences or considered the influence of driving environments on driving styles. Based on natural driving data from electric vehicles in Wuhan, a framework
Yi He +4 more
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Cognitive Driving Data Visualization and Driving Style Transfer
2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2021openaire +1 more source
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2022
Zheng Ma, Yiqi Zhang
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Zheng Ma, Yiqi Zhang
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Driving Style Identification with Unsupervised Learning
2016One way to optimise insurance prices and policies is to collect and to analyse driving trajectories: sequences of 2D-points, where time distance between any two consequitive points is a constant. Suppose that most of the drivers have safe driving style with similar statistical characteristics.
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A Personalized Driving Risk Evaluation Method Considering Driving Style
SAE Technical Paper Series, 2019Lei He, Qingxin Wang, Hu Hongyu
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