Abstract
In order to study types of motorized vehicles red light running and their characteristics, the concept of critical distance was introduced, combining with the start and end of red light, to classify motorized vehicles red light running into three categories: deliberate and unintentional red light violation at red onset and red light violation at red end. Based on video observation data, the number of motorized vehicles that commit any of the afore-mentioned three types of red light violation was statistically analyzed, and then their characteristics under various traffic control and management conditions were explored using z-test method. The results show that the majority of red light runners at red start are deliberate, while the unintentional red light violators also share some proportion. At the end of red light, there are a few vehicles violating red light as well. Additionally, the rates of red light running are obviously varying between those three classifications of red light running under the conditions of countdown timer, automatic red light camera, green flashing device, different speed limits and peak period.
Highlights
Red light running is a common traffic violation, and one main reason to lead to the intersection traffic accident
Retting et al [14,15,16] studied the impact of the red light camera, the results showed that red light camera could significantly reduce the rate of red light running
This study classified the type of red light running according to red start and red end based on the video
Summary
Red light running is a common traffic violation, and one main reason to lead to the intersection traffic accident. The traffic accident caused by running a red light accounts for 2.5% of the total number of intersection accidents[1]and the frequency of this behavior is about one time per every 3.5 minutes[2,3]. Lum et al [9]compared the number of red light running vehicle before and after the installation of countdown timer. They found that it reduced by 65% within the first two months and later gradually restored to the level before the installation. Elimitiny et al [20] pointed out that with the increasing of traffic volume, red light running rate would be higher. This paper derives and calculates the critical distance based on the observation data, classify the type of red light running and analyzes the characteristics of every type
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