2019
DOI: 10.1007/978-3-030-32029-4_17
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Big Data Analysis of Structural Defects and Traffic Accidents in Existing Highway Tunnels

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Cited by 3 publications
(2 citation statements)
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“…Secondly, for the tunnel phase, the morphological characteristics of structural defects such as lining cracking, water seepage, and insufficient thickness, and its relationship with the tunnel space position and geological conditions are some important characters of the tunnel (Ding 2019) in which the big data becomes a useful method to defect the structure and traffic accident. In another study by Pan (2019), the important factors in the tunnels have been identified and some kind of big data techniques were implemented to analyze the data.…”
Section: Big Data Applications In Highway Industrymentioning
confidence: 99%
“…Secondly, for the tunnel phase, the morphological characteristics of structural defects such as lining cracking, water seepage, and insufficient thickness, and its relationship with the tunnel space position and geological conditions are some important characters of the tunnel (Ding 2019) in which the big data becomes a useful method to defect the structure and traffic accident. In another study by Pan (2019), the important factors in the tunnels have been identified and some kind of big data techniques were implemented to analyze the data.…”
Section: Big Data Applications In Highway Industrymentioning
confidence: 99%
“…Xue and Zhang 2019), resilience assessment (e.g Khetwal et al 2019),. structural defect identification (e.g Ding et al 2019),. tunnel face stability (e.g Hayashi et al 2019),.…”
mentioning
confidence: 99%