SALUSLux: Automation for Safer Pedestrian Street Lighting at Intersections
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2025-07-31
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Edition:Final Report (July 1, 2024 – June 30, 2025)
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Abstract:This study addresses the trade-off between pedestrian visibility, pedestrian safety, and light pollution in nighttime intersection lighting design by analyzing how combinations of light source characteristics (e.g., correlated color temperature, distribution type) and streetlight geometry (e.g., pole height, orientation, offset) affect safety and environmental outcomes. We developed SALUSLux, an open-source, Python-based simulation toolset that evaluates realistic lighting conditions using standardized photometric data, simulating 2,304 intersection scenarios across various spatial configurations and light sources. Results reveal that interaction effects between geometry and luminaire properties are critical, with optimized designs—particularly using lower-correlated color temperature sources and a 45° modified turbine configuration—achieving superior visibility and reduced light pollution. Some designs simultaneously maximized safety and environmental performance, challenging assumptions that brighter or high-correlated color temperature lighting is necessary. This work highlights the potential of tools like SALUSLux to enable data-driven, sustainable streetlighting solutions.
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Main Document Checksum:urn:sha-512:b52921eb7ef1fd1966d121d32162ca4bdb5c8f18310c96ebc85d4253dbf57cafde0413f04272c8644c54162c7df8f0d82a254a662bc580e891dbb9f62af40712
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