This paper focused on a before-and-after study to evaluate the impacts of red light camera (RLC) implementation on the stopping propensity of drivers at a cross-junction. Rather than using video cameras, a custom-modified data logger (M660) working in conjunction with loop sensors was used to gather traffic parameters, vehicle stopping/crossing movements, and signal phases. Logistic modelling was employed to model the revealed stopping/crossing decisions of non-platoon vehicle drivers in response to the onset of amber with a number of traffic and behavioural variables. The probability equation of stopping based on a multivariate logistic model was calibrated for the RLC approach. The findings indicate that RLC was associated with an increase in the stopping propensity by up to 8.5 times. It was found that the propensity to stop was less pronounced for weekends (Saturdays and Sundays) and at night. The stopping propensity was also established for traffic volume, speed, and distance from stop-line upon the onset of amber. (a).
Abstract