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A Workable Solution for Reducing the Large Number of Vehicle and Pedestrian Accidents Occurring on a Yellow Light
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作者 Pranav Gupta Silki Arora 《Journal of Transportation Technologies》 2024年第1期82-87,共6页
Traffic intersections are incredibly dangerous for drivers and pedestrians. Statistics from both Canada and the U.S. show a high number of fatalities and serious injuries related to crashes at intersections. In Canada... Traffic intersections are incredibly dangerous for drivers and pedestrians. Statistics from both Canada and the U.S. show a high number of fatalities and serious injuries related to crashes at intersections. In Canada, during 2019, the National Collision Database shows that 28% of traffic fatalities and 42% of serious injuries occurred at intersections. Likewise, the U.S. National Highway Traffic Administration (NHTSA) found that about 40% of the estimated 5,811,000 accidents in the U.S. during the year studied were intersection-related crashes. In fact, a major survey by the car insurance industry found that nearly 85% of drivers could not identify the correct action to take when approaching a yellow traffic light at an intersection. One major reason for these accidents is the “yellow light dilemma,” the ambiguous situation where a driver should stop or proceed forward when unexpectedly faced with a yellow light. This situation is even further exacerbated by the tendency of aggressive drivers to inappropriately speed up on the yellow just to get through the traffic light. A survey of Canadian drivers conducted by the Traffic Injury Research Foundation found that 9% of drivers admitted to speeding up to get through a traffic light. Another reason for these accidents is the increased danger of making a left-hand turn on yellow. According to the National Highway Traffic Safety Association (NHTSA), left turns occur in approximately 22.2% of collisions—as opposed to just 1.2% for right turns. Moreover, a study by CNN found left turns are three times as likely to kill pedestrians than right turns. The reason left turns are so much more likely to cause an accident is because they take a driver against traffic and in the path of oncoming cars. Additionally, most of these left turns occur at the driver’s discretion—as opposed to the distressingly brief left-hand arrow at busy intersections. Drive Safe Now proposes a workable solution for reducing the number of accidents occurring during a yellow light at intersections. We believe this fairly simple solution will save lives, prevent injuries, reduce damage to public and private property, and decrease insurance costs. 展开更多
关键词 traffic accidents Yellow Light traffic Light Signals INTERSECTION Crashes Collision traffic Fatalities traffic Injuries vehicles SAFETY Speed Limit Driving pedestrians bicyclists MOTORCYCLISTS Caution Line Yellow Light Dilemma Left Hand Turn on Yellow Distance Smart Road Technology Signs Signage Autonomous vehicles AVs Road Safety IoT Internet of Things Infrastructure accident Reduction Driving Habits Stop Line Red Light Jumping pedestrian Safety Caution Light Stopping at Intersection Safety at Intersections
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汽车撞行人和骑自行车人事故特征参数对比研究 被引量:5
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作者 袁泉 李一兵 梅冰松 《交通运输工程与信息学报》 2005年第3期92-99,共8页
汽车碰撞行人事故与汽车碰撞骑自行车人事故的某些特点相类似,具有一定的可比性。基于综合人-车-路-环境的交通事故信息模型,对事故再现研究室近年来承担的北京市行人事故和自行车事故鉴定案例资料进行统计分析,根据研究目的和统计样本... 汽车碰撞行人事故与汽车碰撞骑自行车人事故的某些特点相类似,具有一定的可比性。基于综合人-车-路-环境的交通事故信息模型,对事故再现研究室近年来承担的北京市行人事故和自行车事故鉴定案例资料进行统计分析,根据研究目的和统计样本的实际情况,选取典型的特征参数,将两类事故进行综合对比研究,得出了行人事故和自行车事故的一些相似的发生规律和各自不同的特点,并对统计结果在事故再现及交通安全研究方面的应用进行了初步探讨。 展开更多
关键词 交通事故 汽车碰撞 行人 骑自行车人 事故特点
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道路弱势群体头部碰撞特性研究 被引量:1
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作者 刘珍海 高坡 +1 位作者 陈现岭 陈晶晶 《汽车实用技术》 2020年第7期152-155,共4页
为了解碰撞事故中道路弱势群体(vulnerable road users,VRU)头部撞击车辆前端的运动特性,基于VRU实际交通事故数据,以VRU头部碰撞位置、碰撞速度和碰撞角度为研究对象,利用虚拟仿真分析工具,开展车辆(SUV和Sedan)撞击VRU(行人、自行车... 为了解碰撞事故中道路弱势群体(vulnerable road users,VRU)头部撞击车辆前端的运动特性,基于VRU实际交通事故数据,以VRU头部碰撞位置、碰撞速度和碰撞角度为研究对象,利用虚拟仿真分析工具,开展车辆(SUV和Sedan)撞击VRU(行人、自行车骑行人、摩托车骑行人)典型碰撞工况中头部撞击特性分析,结果表明:随着VRU两轮车参考高度增大,VRU骑行人头部碰撞位置靠近车后方,头部碰撞速度和碰撞角度逐渐降低;随着汽车速度增大,VRU骑行人头部碰撞位置靠近车后方,头部碰撞速度逐渐增大。研究结论为行人保护法规及NCAP规程更新提供参考。 展开更多
关键词 道路弱势群体 头部碰撞特性 行人保护 车辆前端 交通事故
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