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Open AccessArticle

Model Calibration Methodology to Assess the Actual Lighting Conditions of a Road Infrastructure

1
School of Industrial Engineering, University of Vigo, Campus Universitario, 36310 Vigo, Spain
2
ENEDI Research Group, Department of Thermal Engineering, University of the Basque Country, UPV, EHU, Alda. Urquijo s/n, 48013 Bilbao, Spain
*
Author to whom correspondence should be addressed.
Infrastructures 2020, 5(1), 2; https://doi.org/10.3390/infrastructures5010002
Received: 29 November 2019 / Revised: 22 December 2019 / Accepted: 24 December 2019 / Published: 27 December 2019
(This article belongs to the Special Issue Resilience of Inland Transport Networks to Extreme Events)
Street lighting plays an important role in the comfort and safety of drivers and pedestrians, so the control and management of the lighting systems operation and consumption is an essential service for a city. In this document, a methodology is presented to calibrate lighting models in order to assess the lighting performance through simulation techniques. The objective of this calibration is to identify the maintenance factor of the street lamps, determine the real average luminance coefficient of the road pavement and adapt the reflection properties of the road material. The method is applied in three stages and is based on the use of Radiance and GenOpt software suits for the modeling, simulation, and calibration of lighting scenes. The proposed methodology achieves errors as low as 13% for the calculation of illuminance and luminance, evincing its potential to assess the actual lighting conditions of a road. View Full-Text
Keywords: GenOpt; illuminance; luminance; model calibration; pavement reflection properties; Radiance; simulation; street lighting GenOpt; illuminance; luminance; model calibration; pavement reflection properties; Radiance; simulation; street lighting
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MDPI and ACS Style

Ogando-Martínez, A.; Troncoso-Pastoriza, F.; Eguía-Oller, P.; Granada-Álvarez, E.; Erkoreka, A. Model Calibration Methodology to Assess the Actual Lighting Conditions of a Road Infrastructure. Infrastructures 2020, 5, 2.

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