Construction of airport digital runway based on in-situ sensing data

Performance evaluation of facilities in flight area is a key factor affects the safety of airport, and real-time monitoring of the infrastructures and reporting the performance of the airport runway are the critical methods for ensuring the airport in safe condition. However, traditional way of evaluating the airport infrastructure needs to shutdown the traffic and cannot report the performance of airport infrastructure in real time. Nowadays, many airport authorities are trying to use multiple sensors to measure the properties of airport infrastructure in real time, but the performance evaluation parameters for the airport runway are still needed. This work proposed an airport digital runway construction method based on in-situ sensing data for potentially developing the airport runway performance evaluation parameters in a timely format. The method consists of obtaining real-time multi-source state information of the runway through sensors, analyzing the runway evaluation indexes through the measured data, as well as the architecture and main functions of the digital runway system. The airport digital runway constructed by using 3Dsmax + Datav, can provide the performance information of runway and predict the potential risks of runway, which helps the airport runway management department to better understand the performance of airport runway. This result has been piloted at Chengdu Tianfu International Airport and greatly enhanced the ability to manage safety risks.

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Publication Details

Journal
International Journal of Transportation Science and Technology
Published
2025-01-22
DOI
https://doi.org/10.1016/j.ijtst.2025.01.010
Citations
2
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
2.43

Funders

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article

Construction of airport digital runway based on in-situ sensing data

Han Li-bin, Fan Yang, Jianming Ling, Zhaoyang Li et al.
2 citations
International Journal of Transportation Science and Technology
Simulation and Modeling Applications
2.43
article

Construction of airport digital runway based on in-situ sensing data

Han Li-bin, Fan Yang, Jianming Ling, Zhaoyang Li, Zhang Jiake
article en
2 citations

Abstract

Performance evaluation of facilities in flight area is a key factor affects the safety of airport, and real-time monitoring of the infrastructures and reporting the performance of the airport runway are the critical methods for ensuring the airport in safe condition. However, traditional way of evaluating the airport infrastructure needs to shutdown the traffic and cannot report the performance of airport infrastructure in real time. Nowadays, many airport authorities are trying to use multiple sensors to measure the properties of airport infrastructure in real time, but the performance evaluation parameters for the airport runway are still needed. This work proposed an airport digital runway construction method based on in-situ sensing data for potentially developing the airport runway performance evaluation parameters in a timely format. The method consists of obtaining real-time multi-source state information of the runway through sensors, analyzing the runway evaluation indexes through the measured data, as well as the architecture and main functions of the digital runway system. The airport digital runway constructed by using 3Dsmax + Datav, can provide the performance information of runway and predict the potential risks of runway, which helps the airport runway management department to better understand the performance of airport runway. This result has been piloted at Chengdu Tianfu International Airport and greatly enhanced the ability to manage safety risks.

International Journal of Transportation Science and TechnologyVol. 21
Tongji University (CN), Manchester Airport (GB), Yuntianhua Group (China) (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 14%
Simulation and Modeling Applications
2.43
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Construction of airport digital runway based on in-situ sensing data — Han Li-bin, Fan Yang, et al. · International Journal of Transportation Science and Technology (2025) | TGRS Research Map | TGRS