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原文传递 Frequency and Potential Severity of Red Light Running in Anchorage 鈥?Phase II.

题名：	Frequency and Potential Severity of Red Light Running in Anchorage 鈥?Phase II.
作者：	Abaza, O.; Chowdhury, T. D.
关键词：	Red light running, Severity, Pavement conditions, Intersections, Awareness, Countermeasures
摘要：	Red light running (RLR) is among the leading causes of urban automobile crashes, and the rate of related crashes is increasing. Phase I of the Alaska RLR project was independently conducted by the UAA Civil Engineering Department (Abaza and Strait, 2014). The findings of the Phase I study warranted further investigation as part of this project (Phase II). The Alaska Department of Transportation and Public Facilities would like to better understand the problem so that it can design effective strategies for reducing severe crashes at signalized intersections. Policy and law makers need information as well to produce effective countermeasures as RLR often leads to severe crashes. Frequency of RLR was measured at six different intersections in Anchorage, Alaska. The highest RLR violations in through and right turning movements at all severity levels occur at C Street and 6th Avenue. RLR violations are highest at evening peak period for all pavement surface conditions, and violations generally increase as average daily traffic increases. Alertness during left turning promotes safety and reduces violations for the locations considered. Drivers tend not to stop on slippery pavement as the signal is turning red. Results show crash rates in the studied locations align well with the RLR violation. RLR violation and crashes are considered higher than other localities in the lower forty-eight with insignificant rate of fatalities in the studied locations. Prolonged green interval proved ineffective in limiting RLR violations, even at low traffic volume, and extending yellow interval by 1鈥? seconds might not be sustainable in reducing RLR violation. The literature review supports the effectiveness of using advance warning signs as an effective tool to reduce RLR. ITS solutions, e.g., 鈥渂lue confirmation light,鈥?and vehicle detection technology in signal programming can reduce RLR. Finally, awareness programs and enhanced drivers training manuals (DTM), in combination with the countermeasures mentioned, are effective ways to reduce RLR violations.
报告类型：	科技报告