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What is Metal Halide Road Lighting Models about?

This study focuses on designing metal halide-based road illumination systems in developing countries using regression and artificial neural networks (ANNs) to predict luminance and energy efficiency. Extensive photometric simulations were conducted to analyze 80,000 installation combinations, revealing that luminaire power per unit road length and standard specular factor are critical predictors. The ANN model demonstrated promising accuracy, with low error margins in predicting various photometric paramete

Author

khondekar Lutful Hassan

Language

EN