Driving style recognition and quantification for heavy-duty truck drivers

QIN Wen-wen, YAN Qi-yang, GU Jin-jing… - Journal of …, 2022 - tseit.org.cn
Aggressive driving styles of heavy-duty truck drivers may lead to serious traffic accidents
with mass casualties, since aggressive styles have strong habitual characteristics and …

Comprehensive identification of driving style based on vehicle's driving cycle recognition

K Liang, Z Zhao, W Li, J Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The driving style of human automobile drivers plays a vital role in vehicle energy
management and driving safety. Human drivers often exhibit different driving styles during …

Research on driving style recognition method based on driver's dynamic demand

Y Lei, K Liu, Y Fu, X Li, Z Liu… - Advances in Mechanical …, 2016 - journals.sagepub.com
Drivers usually show different driving styles in a transportation system. In analyzing the
explicit linkage between driving style and driver's dynamic demand, driving style can be …

Research on Driving Style Recognition Model Considering Different Traffic Density and Driving Behavior

X Niyang, Y Yunbing, T Xuequan… - 2022 6th CAA …, 2022 - ieeexplore.ieee.org
Aiming at the problems of single result and poor adaptability of existing driving style
recognition models, a driving style recognition model considering different traffic densities …

Statistical‐based approach for driving style recognition using Bayesian probability with kernel density estimation

W Han, W Wang, X Li, J Xi - IET Intelligent Transport Systems, 2019 - Wiley Online Library
Driving style recognition plays a crucial role in eco‐driving, road safety, and intelligent
vehicle control. This study proposes a statistical‐based recognition method to deal with …

Research on Driver Driving Style and Driving Condition Recognition Model Based on SVM and XGBoost

S Shi, T Wang, Y Ding, Y Qian, X Zou, W Song - 2022 - sae.org
At present, the remote monitoring cloud platform of many automobile companies only
displays the collected data information, and it does not fully mine the deeplevel information …

Machine learning-based driving style identification of truck drivers in open-pit mines

Q Wang, R Zhang, Y Wang, S Lv - Electronics, 2019 - mdpi.com
The significance in constructing a driving style identification model for open-pit mine truck
drivers is to reduce diesel consumption and improve training. First, we developed a driving …

Research on classification and recognition of driving styles based on feature engineering

Y Liu, J Wang, P Zhao, D Qin, Z Chen - IEEE Access, 2019 - ieeexplore.ieee.org
Accurate classification and the effective recognition of driving styles are critical for improving
control performance of the vehicle powertrain. In this research, a set of driving style …

[HTML][HTML] Driving style recognition based on driver behavior questionnaire

P Li, J Shi, X Liu - Open Journal of Applied Sciences, 2017 - scirp.org
The ability to classify driver behavior lays the foundation for more advanced driver
assistance systems. The present study aims to research driver pattern and classification …

Driving style identification and its association with risky driving behaviors among truck drivers based on GPS, load condition, and in-vehicle monitoring data

C Zhang, Y Ma, AJ Khattak, S Chen… - … Safety & Security, 2024 - Taylor & Francis
This study provides an approach to identify driving style of truck drivers by using GPS, load
condition, and in-vehicle monitoring data and investigates the association of driving styles …