A Method for Determining Red-Light-Running Fines and Evaluating Intersection Characteristics at Red-Light-Camera Intersections

Currently red light running fines are legislated or based off of red light running camera system costs and not the risk imposed by the runner. This paper seeks to provide a basis for red light running fines through the simulation of the probability of a crash for a given time after red that a runner enters the intersection. The probability of a crash occurring was determined by the use of a physical model based on data from four red light camera intersections in the City of Opelika, Alabama. Data were collected through video taken at the camera intersections and included driver reaction to the signal change and driver acceleration with other variables used in the model such as intersection geometry being available for modification. The model was run as a Monte Carlo simulation in order to generate a crash probability distribution for a discrete time after red that a runner entered the intersection. Furthermore, model variables were altered to examine their impact on probabilistic crash risk to allow municipalities the option to adjust the all-red clearance interval to mitigate intersection geometry effects. Due to the multitude of laws and regulations on the dollar value of red light running fines, probabilities are reported for discrete times and a tiered fine structure is discussed.

Language

  • English

Media Info

  • Media Type: Web
  • Features: Figures; Maps; References; Tables;
  • Pagination: 13p
  • Monograph Title: TRB 95th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01594816
  • Record Type: Publication
  • Report/Paper Numbers: 16-4619
  • Files: TRIS, TRB, ATRI
  • Created Date: Jan 12 2016 6:02PM