Evaluation Method of Emergency Drill Effect for Major Traffic Infrastructure Based on Cloud Model

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Smart Transportation and Green Mobility Safety (GITSS 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1181))

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Abstract

To address issues and shortcomings in the evaluation of emergency drill effectiveness, a comprehensive method based on cloud models has been proposed for major transportation infrastructure. First, an evaluation index system for emergency drills is established for major traffic infrastructure, encompassing emergency drill planning and preparation, emergency drill deployment and implementation, and post-drill summary and improvement. Second, the AHP method and the coefficient of variation method are utilized to determine the subjective and objective weights of the evaluation indexes. Game theory is then used to calculate the optimal combination weight. Final, by referring to relevant standards both at home and abroad, the evaluation grade of emergency drill effectiveness is divided, and forward and reverse cloud generators are employed to determine the standard cloud and comprehensive evaluation cloud for each evaluation grade. An emergency drill evaluation method is then proposed. The effectiveness of this method is validated through a case study which evaluated a comprehensive traffic accident drill on the Hong Kong-Zhuhai-Macao Bridge. This research provides a valuable reference for the evaluation of emergency drill effectiveness for major transportation infrastructure.

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Funding

Funding Project

This work was supported by a national key R&D program (the Integrated Application of Intelligent Operation and Maintenance Technology for Hong Kong-Zhuhai-Macao Bridge, 2019YFB1600700).

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Correspondence to Ying Wang .

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Liu, K., Wang, Y., Chang, L. (2024). Evaluation Method of Emergency Drill Effect for Major Traffic Infrastructure Based on Cloud Model. In: Wang, W., **, L., Tan, H. (eds) Smart Transportation and Green Mobility Safety. GITSS 2022. Lecture Notes in Electrical Engineering, vol 1181. Springer, Singapore. https://doi.org/10.1007/978-981-97-2443-7_16

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  • DOI: https://doi.org/10.1007/978-981-97-2443-7_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-2442-0

  • Online ISBN: 978-981-97-2443-7

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