Paper
14 February 2024 Spatial interpolation-based method for tunnel lighting quality assessment
Hongqing Chen, Yunfei Su, Ruhao Wei, Chunfa Jiang
Author Affiliations +
Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130183D (2024) https://doi.org/10.1117/12.3024764
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China
Abstract
In the tunnel traffic environment, good lighting conditions are essential not only for ensuring safe driving but also for improving tunnel passage efficiency. Highway tunnel lighting differs from general road lighting as the luminaires are required to operate under all weather conditions. However, due to various factors, some lighting fixtures may experience light decay, which affects the lighting quality of the highway tunnel[1]. By drawing the tunnel road surface illuminance curve, the operational status of the tunnel lighting system can be understood, enabling an accurate assessment of the lighting quality. This study utilizes the inverse distance weighting (IDW) interpolation method and the kriging interpolation method to perform plane interpolation of tunnel road surface illuminance, resulting in the generation of the tunnel road surface illuminance curve. It is observed that the kriging interpolation method using the exponential function as the theoretical model for the semivariogram produces the best interpolation results.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Hongqing Chen, Yunfei Su, Ruhao Wei, and Chunfa Jiang "Spatial interpolation-based method for tunnel lighting quality assessment", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130183D (14 February 2024); https://doi.org/10.1117/12.3024764
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KEYWORDS
Interpolation

Light sources and illumination

Roads

Error analysis

Data storage

Data modeling

Mathematical modeling

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