Cornell University. What Is the Traffic Volume Cut off between High-Volume and Low Volume? Cornell Local Roads Program.
https://www.clrp.cornell.edu/q-a/151-low-volume.html#:~:text=1%2C000%20vehicles %20per%20day%20is,upon%20context%20including%20functional%20classification

has been cited by the following article:

• TITLE: Safer Design and Less Cost Operation for Low-Traffic Long-Road Illumination Using Control System Based on Pattern Recognition Technique

  AUTHORS: Muhammad M. A. S. Mahmoud, Leyla Muradkhanli

  KEYWORDS: Road Lighting Control, Road Lighting Automation, Vehicle Number-Plate Pattern Recognition, Smart Grid, Power Management, Low Traffic Roads, Image Processing

  JOURNAL NAME: Intelligent Control and Automation, Vol.11 No.3, August 28, 2020

  ABSTRACT: The paper covers analysis and investigation of lighting automation system in low-traffic long-roads. The main objective is to provide optimal solution between expensive safe design that utilizes continuous street lighting system at night for the entire road, or inexpensive design that sacrifices the safety, relying on using vehicles lighting, to eliminate the problem of high cost energy consumption during the night operation of the road. By taking into account both of these factors, smart lighting automation system is proposed using Pattern Recognition Technique applied on vehicle number-plates. In this proposal, the road is sectionalized into zones, and based on smart Pattern Recognition Technique, the control system of the road lighting illuminates only the zone that the vehicles pass through. Economic analysis is provided in this paper to support the value of using this design of lighting control system.