Results 161 to 170 of about 222,751 (229)

Automated pavement distress segmentation on asphalt surfaces using a deep learning network

International Journal of Pavement Engineering, 2022
Recently, many deep learning methods have achieved great results in the field of automated pavement distress detection, but most of them ignore other types of distresses beyond cracks.
Tian Wen, Shuo Ding, H. Lang, J. Lu, Ye Yuan, Yichuan Peng, Jiang Chen, Aidi Wang   +7 more
semanticscholar   +1 more source

Asphalt Pavements with High Reclaimed Asphalt Pavement Content

Transportation Research Record: Journal of the Transportation Research Board, 2014
Today's sustainability-driven systems require a product or process to be environmentally beneficial as well as cost-effective. This study used life-cycle cost analysis (LCCA) and life-cycle assessment (LCA) to consider the economic and environmental feasibility of using a high content of reclaimed asphalt pavement (RAP) in asphalt mixtures.
Qazi Aurangzeb, Imad L. Al-Qadi
openaire   +1 more source

Pixel-Level Cracking Detection on 3D Asphalt Pavement Images Through Deep-Learning- Based CrackNet-V

IEEE transactions on intelligent transportation systems (Print), 2020
A few recent developments have demonstrated that deep-learning-based solutions can outperform traditional algorithms for automated pavement crack detection.
Yue Fei, Kelvin C. P. Wang, Allen A. Zhang, Cheng Chen, J. Li, Yang Liu, Guangwei Yang, Baoxian Li   +7 more
semanticscholar   +1 more source

Comparative assessments for environmental impacts from three advanced asphalt pavement construction cases

, 2021
Applying advanced asphalt pavement technology is a promising trend for future sustainable road construction. However, the environmental impacts of different advanced asphalt pavements remain unclear, thus hindering their future applications.
Fusong Wang, I. Hoff, Fei Yang, Shaopeng Wu, Jun Xie, N. Li, Lei Zhang   +6 more
semanticscholar   +1 more source

High-viscosity modified asphalt mixtures for double-layer porous asphalt pavement: Design optimization and evaluation metrics

, 2021
Porous asphalt mixture has been extensively exploited as a surfacing layer on highways because it contributes to controlling pavement runoff, enhancing driving safety, mitigating urban-heat island, and reducing tire-pavement noise.
Jianying Hu, T. Ma, Yuhao Zhu, Xiaoming Huang, Jian Xu, Li-biao Chen   +5 more
semanticscholar   +1 more source

Research on heat reflective coating technology of asphalt pavement

International Journal of Pavement Engineering, 2021
A new asphalt pavement heat reflective coating was prepared with epoxy resin emulsion as the coating subs-trate, titanium dioxide, silicon dioxide, diatomite and hollow glass bead as the functional fillers, added fumed silica and other materials as the ...
Yuanzhao Chen, Zhenxia Li, Siqing Ding, Xiaolan Yang, Tengteng Guo   +4 more
semanticscholar   +1 more source

Measurement of particle agglomeration and aggregate breakdown of reclaimed asphalt pavement

, 2021
Cold milling of old asphalt pavement is widespread in pavement resurfacing. It produces reclaimed asphalt pavement (RAP) and changes the state of the old asphalt pavement; the pavement is cut into particles, known as RAP particles.
Jiangang Yang, W. Tao, Jie Gao, Di Yu, Jian Zhou, Liang He, Yuquan Yao   +6 more
semanticscholar   +1 more source

Monitoring Asphalt Pavement Aging and Damage Conditions from Low-Altitude UAV Imagery Based on a CNN Approach

Canadian journal of remote sensing, 2021
Conventional methods for monitoring pavement healthy states have the disadvantages of low efficiency and being time-consuming and destructive. Current studies indicate that traditional machine learning algorithms showed poor performance and low ...
Yifan Pan, Xiao Chen, Quan Sun, Xianfeng Zhang   +3 more
semanticscholar   +1 more source

An integrated approach to automatic pixel-level crack detection and quantification of asphalt pavement

Automation in Construction, 2020
Discovering and assessing cracks is widely thought to be critical for maintaining the healthy conditions of asphalt pavement. Unfortunately, the inspection of pavement for cracks is not only labor-intensive, time-consuming, inefficient, and costly, but ...
Ankang Ji, X. Xue, Yuna Wang, Xiaowei Luo, Weirui Xue   +4 more
semanticscholar   +1 more source

Asphalt pavement paving segregation detection method using more efficiency and quality texture features extract algorithm

, 2021
The segregation of asphalt pavement is the main reason for the decrease of safety, comfort and actual service life of the road, and the paving segregation is the main inducement for asphalt pavements segregation.
Xun Zhao, Lige Xue, Feiyun Xu
semanticscholar   +1 more source