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Li, H., Yang, X. C., Wang, F. L., Rose, T., Chan, G., & Dong, S. (2016). Stochastic State Sequence Model to Predict Construction Site Safety States through Real-Time Location Systems. Safety Science, 84, 78-87.
https://doi.org/10.1016/j.ssci.2015.11.025

has been cited by the following article:

• TITLE: Research on Safety Management of Construction Engineering Personnel under “Big Data + Artificial Intelligence”

  AUTHORS: Xizhe Yi, Jiaye Wu

  KEYWORDS: Management Science, Engineering

  JOURNAL NAME: Open Journal of Business and Management, Vol.8 No.3, April 13, 2020

  ABSTRACT: Under the background of the information age, traditional engineering safety management is undergoing a profound change. The introduction of big data and artificial intelligence technologies in construction project safety management is becoming increasingly widespread. Based on literature analysis, combined with artificial intelligence and big data in construction safety management in the application is still in the primary stage, especially in applied research personnel safety management rarely literature. A review of the exploration and application of construction engineering safety management under the combination of artificial intelligence and big data, the analysis and summary of the current status and trends of the two technologies in construction engineering safety management, and the design of Based on artificial intelligence engineering personnel safety management of large data systems architecture, enrich and improve construction safety of personnel management concepts and technical means.