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Fawaz Alharbi, Meshal I. Almoshaogeh, Anwar H. Ibrahim, Husnain Haider, Abd Elaziz M. Elmadina and Ibrahim Alfallaj
Saudi Arabian urban roads and highways have witnessed a large number of traffic crashes. Road lighting is one of the most important factors influencing drivers? safety during the nighttime. Street-lighting design (e.g., spacing and height), visibility (e...
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Wenwen Xie, Binchao Deng, Yilin Yin, Xindong Lv and Zhenhua Deng
Construction industries have poor cost performance in terms of finishing projects within a budget. A fuzzy model for evaluating the critical factors of cost overrun for construction projects in China is developed by identifying, classifying and ranking c...
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Majed Alinizzi, Husnain Haider and Mohammad Alresheedi
In addition to a wide range of socio-economic impacts, traffic congestion during the era of the COVID-19 pandemic has been identified as a critical issue to be addressed. In urban neighborhoods, the timespan of traffic congestion hazard (HTC) after the c...
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Jinyu Guo and Lizhen Wang
The goal of spatial co-location pattern mining is to find subsets of spatial features whose instances are often neighbors in a geographical space. In many practical cases, instances of spatial features contain not only spatial location information but al...
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Wenbin Zhao, Changlai Xiao, Yunxu Chai, Xiaoya Feng, Xiujuan Liang and Zhang Fang
The existing weighting methods mainly comprise subjective and objective weighting and have a certain degree of subjectivity, with certain requirements for the professional ability of the users and unstable results. Therefore, an improved weighting method...
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Douglas Omoregie Aghimien, Matthew Ikuabe, Clinton Aigbavboa, Ayodeji Oke, Wealthy Shirinda
The construction industry has been producing massive data that can be transformed for improved decision-making and better construction project delivery. However, the industry has been adjudged as a slow adopter of digital technologies such as big data an...
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Alfredo Cuzzocrea, Enzo Mumolo and Giorgio Mario Grasso
In this paper we describe a novel algorithm, inspired by the mirror neuron discovery, to support automatic learning oriented to advanced man-machine interfaces. The algorithm introduces several points of innovation, based on complex metrics of similarity...
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Hong Wang, Lei Nie, Yan Xu, Yan Lv, Yuanyuan He, Chao Du, Tao Zhang and Yuzheng Wang
Rockburst intensity prediction is one of the basic works of underground engineering disaster prevention and mitigation. Considering the dynamic variability and fuzziness in rockburst intensity prediction, variable fuzzy sets (VFS) are selected for evalua...
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Bo Wang, Chencong Mo, Chuan He and Qixiang Yan
A tunnel is a coupled system of the surrounding rock and the supporting structure. The health status of a tunnel structure is complex and is influenced by various factors. In addition, these factors are coupled and interacted with each other, which calls...
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