[HTML][HTML] New innovations in pavement materials and engineering: A review on pavement engineering research 2021

JE Office, J Chen, H Dan, Y Ding, Y Gao, M Guo… - Journal of Traffic and …, 2021 - Elsevier
Sustainable and resilient pavement infrastructure is critical for current economic and
environmental challenges. In the past 10 years, the pavement infrastructure strongly …

[HTML][HTML] Tire road friction coefficient estimation: review and research perspectives

Y Wang, J Hu, F Wang, H Dong, Y Yan, Y Ren… - Chinese Journal of …, 2022 - Springer
Many surveys on vehicle traffic safety have shown that the tire road friction coefficient
(TRFC) is correlated with the probability of an accident. The probability of road accidents …

An alternative method for traffic accident severity prediction: using deep forests algorithm

J Gan, L Li, D Zhang, Z Yi… - Journal of advanced …, 2020 - Wiley Online Library
Traffic safety has always been an important issue in sustainable transportation development,
and the prediction of traffic accident severity remains a crucial challenging issue in the …

[HTML][HTML] A distributed big data analytics architecture for vehicle sensor data

T Alexakis, N Peppes, K Demestichas, E Adamopoulou - Sensors, 2022 - mdpi.com
The unceasingly increasing needs for data acquisition, storage and analysis in
transportation systems have led to the adoption of new technologies and methods in order to …

Fusion attention mechanism bidirectional LSTM for short-term traffic flow prediction

Z Li, H Xu, X Gao, Z Wang, W Xu - Journal of Intelligent …, 2022 - Taylor & Francis
Short term forecasting is essential and challenging in time series data analysis for traffic flow
research. A novel deep learning architecture on short-term traffic flow prediction was …

[HTML][HTML] A hybrid neural network for driving behavior risk prediction based on distracted driving behavior data

X Fu, H Meng, X Wang, H Yang, J Wang - PLoS one, 2022 - journals.plos.org
Distracted driving behavior is one of the main factors of road accidents. Accurately predicting
the risk of driving behavior is of great significance to the active safety of road transportation …

Ionogel Fiber‐Based Flexible Sensor for Friction Sensing

B Lv, G Zhao, H Wang, Q Wang, B Yang… - Advanced Materials …, 2023 - Wiley Online Library
The ability of flexible sensors to detect and recognize the perception of different mechanical
stimuli is a prerequisite for meeting the challenges of flexible sensing in many applications …

FriC-PM: Machine Learning-based road surface friction coefficient predictive model using intelligent sensor data

M Rasol, F Schmidt, S Ientile - Construction and Building Materials, 2023 - Elsevier
Providing a robust traffic management system is a given for road authorities today, for safer
mobility and reliable day-to-day operations. Therefore, to improve traffic management …

A novel approach for pavement texture characterisation using 2D-wavelet decomposition

Y Du, Z Weng, F Li, G Ablat, D Wu… - International Journal of …, 2022 - Taylor & Francis
In this paper, a 2D-wavelet approach is proposed to characterize the pavement texture
acquired from the 3D laser scanner. The texture is decomposed into nine levels (from 0.1 …

A review of dynamic state estimation for the neighborhood system of connected vehicles

Y Wang, H Wei, L Yang, B Hu, C Lv - SAE International Journal of Vehicle …, 2023 - sae.org
Precise vehicle state and the surrounding traffic information are essential for decision-
making and dynamic control of intelligent connected vehicles. Tremendous research efforts …