Vehicle telematics for safer, cleaner and more sustainable urban transport: A review

O Ghaffarpasand, M Burke, LK Osei, H Ursell… - Sustainability, 2022 - mdpi.com
Urban transport contributes more than a quarter of the global greenhouse gas emissionns
that drive climate change; it also produces significant air pollution emissions. Furthermore …

A proactive crash risk prediction framework for lane-changing behavior incorporating individual driving styles

Y Zhang, Y Chen, X Gu, NN Sze, J Huang - Accident Analysis & Prevention, 2023 - Elsevier
Driving style may have an important effect on traffic safety. Proactive crash risk prediction for
lane-changing behaviors incorporating individual driving styles can help drivers make safe …

Driving style recognition and comparisons among driving tasks based on driver behavior in the online car-hailing industry

Y Ma, W Li, K Tang, Z Zhang, S Chen - Accident Analysis & Prevention, 2021 - Elsevier
As a product of the shared economy, online car-hailing platforms can be used effectively to
help maximize resources and alleviate traffic congestion. The driver's behavior is …

Using naturalistic driving data to identify driving style based on longitudinal driving operation conditions

N Lyu, Y Wang, C Wu, L Peng… - Journal of intelligent and …, 2022 - ieeexplore.ieee.org
Purpose-An individual's driving style significantly affects overall traffic safety. However,
driving style is difficult to identify due to temporal and spatial differences and scene …

Cooperative decision-making of multiple autonomous vehicles in a connected mixed traffic environment: A coalition game-based model

M Fu, S Li, M Guo, Z Yang, Y Sun, C Qiu… - … research part C …, 2023 - Elsevier
Advances in vehicle-networking technologies have enabled vehicles to cooperate in mixed
traffic. However, realizing the cooperative decision-making of multiple connected …

Effect of daily car-following behaviors on urban roadway rear-end crashes and near-crashes: A naturalistic driving study

X Wang, X Zhang, F Guo, Y Gu, X Zhu - Accident Analysis & Prevention, 2022 - Elsevier
The rear-end crash is one of the most common types of crashes, and key risk factors have
been broadly identified in the car-following behaviors preceding a crash. However, the …

Do drivers change their manual car-following behaviour after automated car-following?

T Louw, R Goncalves, G Torrao… - Cognition, Technology & …, 2021 - Springer
There is evidence that drivers' behaviour adapts after using different advanced driving
assistance systems. For instance, drivers' headway during car-following reduces after using …

Unsupervised driving style analysis based on driving maneuver intensity

XS Li, XT Cui, YY Ren, XL Zheng - IEEE Access, 2022 - ieeexplore.ieee.org
This paper proposes a novel unsupervised clustering framework to identify driving style not
in terms of the discrete features of driving behavior data, but rather the time-varying patterns …

Self-perception versus objective driving behavior: Subject study of lateral vehicle guidance

J Haselberger, B Schick, S Müller - arXiv preprint arXiv:2402.13104, 2024 - arxiv.org
Advancements in technology are steering attention toward creating comfortable and
acceptable driving characteristics in autonomous vehicles. Ensuring a safe and comfortable …

How drivers perform under different scenarios: ability-related driving style extraction for large-scale dataset

Y Zang, L Wen, P Cai, D Fu, S Mao, B Shi, Y Li… - Accident Analysis & …, 2024 - Elsevier
The extraction and analysis of driving style are essential for a comprehensive understanding
of human driving behaviours. Most existing studies rely on subjective questionnaires and …