Yi Peng

TL;DR: The CrackNet, an efficient architecture based on the Convolutional Neural Network, is proposed in this article for automated pavement crack detection on 3D asphalt surfaces with explicit objective of pixel‐perfect accuracy.

TL;DR: This paper develops a finite element method (FEM)-based skid resistance simulation framework using in-situ 3D pavement surface texture andSkid resistance data, and principal component analysis (PCA) regression analysis is conducted to quantify the relationship between various texture characteristics and the interface friction parameters.

TL;DR: In this paper, the authors explored novel 3D areal texture parameters to represent pavement texture characteristics at both micro- and macro-scales and their usage for friction prediction, and the random forest algorithm was implemented to determine the most important texture parameters for friction predictive model development.

TL;DR: The high friction surface treatment (HFST) is an effective countermeasure to roadway departure crashes as discussed by the authors, and the field performance of the HFST system was evaluated from seven field monitoring trials on seven different road surfaces.

TL;DR: In this article, a laser three-dimensional imaging sensor support device, which comprises a bracket body, the last camera connect portion that is provided with the laser lamp-house connecting portion that are used for fixed laser lamp -house and is used for a fixed camera of support subject, is presented.