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Jianyu Wang, Shuo Ma, Pengpeng Jiao, Lanxin Ji, Xu Sun and Huapu Lu
This study explores risk factors influencing the at-fault party in traffic accidents and analyzes their impact on traffic accident severity. Based on the traffic accident data of Shenyang City, Liaoning Province, China, from 2018 to 2020, 19 attribute va...
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Yang Shen, Changjiang Zheng and Fei Wu
Urban highway tunnels are frequent accident locations, and predicting and analyzing road conditions after accidents to avoid traffic congestion is a key measure for tunnel traffic operation management. In this paper, 200 traffic accident data from the Yi...
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Zhenxian Peng, Zhonglian Jiang, Xiao Chu and Jianglong Ying
As an important mode of transportation for the global trade, waterborne transportation has become a priority option for import and export trade due to its large load capacity and relatively low cost. Meanwhile, shipping safety has been highly valued. By ...
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David Dias, José Silvestre Silva and Alexandre Bernardino
This work proposes a tool to predict the risk of road accidents. The developed system consists of three steps: data selection and collection, preprocessing, and the use of mining algorithms. The data were imported from the Portuguese National Guard datab...
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Chuyang Yang and Chenyu Huang
Advanced digital data-driven applications have evolved and significantly impacted the transportation sector in recent years. This systematic review examines natural language processing (NLP) approaches applied to aviation safety-related domains. The auth...
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