title: A study of stopping propensity at matured red light camera T-intersections.
abstract: OBJECTIVE
  This paper evaluates the stopping propensity of drivers at matured in-service red light camera (RLC) signalized T-intersections after a number of years of camera operation.
  
  
  METHODS
  A special-purpose data logger working in conjunction with loop sensors was used to gather traffic parameters, vehicle stopping/crossing movements, and signal phases at camera (treatment) and noncamera (comparison) approaches. Logistic modeling was employed to determine the stopping/crossing decisions of civilian vehicle drivers in response to the onset of yellow (amber) with traffic and the associated situational and behavioral variables, including their interactions.
  
  
  CONCLUSIONS
  The propensity to stop at camera approaches was about 17 times more than at noncamera approaches. This finding strongly affirmed the positive effect of RLC in encouraging drivers to stop. The likelihood to stop was about 6.5 times higher for an approach that faces an opposing right-turn conflict immediately after the onset of red. Higher stopping propensity was also more prevalent during weekdays and in periods of low traffic volumes.
  
  
  CONCLUSIONS
  The findings provided an objective measure on the effectiveness of RLC that would be useful to evaluate intersections for camera installation as well as on the implementation and operational aspects of RLC program.
authors.affiliation: Nanyang Technological University, Centre for Transportation Studies, Nanyang Avenue, Singapore 639798, Singapore. ckmlum@ntu.edu.sg
authors.forename: K M
authors.initials: KM
authors.lastname: Lum
authors.forename: Y D
authors.initials: YD
authors.lastname: Wong
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control / Q000523:psychology; D001334:Automobile Driving / Q000523:psychology*; D003654:Deceleration; D003657:Decision Making; D006804:Ergonomics; D006801:Humans; D008027:Light; D016015:Logistic Models; D010781:Photography; D017751:Safety Management / Q000379:methods*; D012846:Singapore