SALUSLux: Automation for Safer Pedestrian Street Lighting at Intersections [supporting datasets]

Flanigan, Katherine A; Kavee, Korawich; Quick, Stephen L

doi:https://github.com/CMU-SALUS-Lab/saluslux

i

SALUSLux: Automation for Safer Pedestrian Street Lighting at Intersections [supporting datasets]

Dataset

2025-07-01
By Flanigan, Katherine A ; Kavee, Korawich ; Quick, Stephen L

File Language:

English

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Creators:

Flanigan, Katherine A ; Kavee, Korawich ; Quick, Stephen L
Corporate Creators:

Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC)
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:
DOI:

https://github.com/CMU-SALUS-Lab/saluslux
Resource Type:

Dataset
Right Statement:

Open Access; https://creativecommons.org/publicdomain/zero/1.0/
Geographical Coverage:

United States
Corporate Publisher:

Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC)
Abstract:

ALUSLux is an open-source Python package for simulating and optimizing urban street lighting, with a focus on pedestrian safety and light pollution mitigation. Designed for researchers, engineers, and city planners, SALUSLux brings full programmatic control to the lighting simulation process using standardized IES photometric data. ; The total size of the ZIP file is 1,024 KB.
Content Notes:

External Repository Note: This dataset additional data and software in a GitHub repository. This repository is accessible online: https://github.com/CMU-SALUS-Lab/saluslux
Format:

ZIP
Funding:

69A3552344811, 69A3552348316
Download URL:

https://rosap.ntl.bts.gov/view/dot/86187/dot_86187_DS1.zip
File Type:

[ZIP - 1023.74 KB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:db443effc48a6aa9508250cc1f60e1c1cc0f18ef7f1cb085c529e48fb68bd4cf065397b6c91b1536987a01a2e3050375e36719f12e7ba5adf040b4aeecc82804

File Language:

English

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