School of Transportation, Southeast University, China; Jiangsu Key Laboratory of Urban ITS, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, China.
School of Transportation, Southeast University, China; Jiangsu Key Laboratory of Urban ITS, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, China.
J Safety Res. 2022 Jun;81:313-325. doi: 10.1016/j.jsr.2022.03.008. Epub 2022 Mar 28.
Pedestrians are more vulnerable to traffic crashes than other road users, particularly at non-signalized crosswalks. Safety measures (such as law enforcement cameras) can be implemented to regulate road users' behavior and traffic safety. This study evaluates the effects of such cameras on pedestrian-vehicle conflicts by investigating different interaction patterns of pedestrian risk perception and driving style.
Field investigations were conducted at four non-signalized crosswalks. Video data were collected using unmanned aerial vehicles and roadside cameras.
Two-step cluster analysis and k-means cluster analysis were employed to classify the pedestrian's behavior and driving style, respectively. Surrogate safety measures were adopted to measure the pedestrian-vehicle conflicts.
The results suggest that the implementation of cameras would decrease both the actual and perceived risks of pedestrians, while the heterogeneity between the actual and perceived risk is more obvious at camera sites. They also indicate that the cameras have a positive influence on reducing drivers' aggressiveness and conflict severity. In terms of pedestrian-vehicle interaction patterns, the most severe conflicts occur when the pedestrian perceived risk level is low and the driving style is aggressive. Such dangerous interactions are observed more frequently at camera sites. In contrast, a safer interaction pattern is associated with a moderate driving style and cautious crossing behavior, which is more frequently observed at comparison sites. However, regardless of which interaction pattern is observed, the conflict severity is found to be lower at camera sites, indicating the effectiveness of the cameras.
Supplementary facilities, such as warning signs, flash lights, and speed control measures, should be implemented to maintain the effectiveness of the law enforcement cameras.
行人比其他道路使用者更容易在交通事故中受到伤害，尤其是在没有信号灯的人行横道处。可以采取安全措施（例如执法摄像头）来规范道路使用者的行为和交通安全。本研究通过调查行人风险感知和驾驶风格的不同交互模式，评估这些摄像头对行人和车辆冲突的影响。
在四个无信号的人行横道处进行了实地调查。使用无人机和路边摄像头收集视频数据。
采用两步聚类分析和 K 均值聚类分析分别对行人的行为和驾驶风格进行分类。采用替代安全措施来衡量行人和车辆的冲突。
结果表明，安装摄像头可以降低行人和驾驶员的实际风险和感知风险，而在摄像头安装地点，实际风险和感知风险之间的异质性更为明显。此外，摄像头还可以减少驾驶员的攻击性和冲突严重程度，从而产生积极的影响。在行人和车辆的相互作用模式方面，当行人感知风险水平较低且驾驶风格较为激进时，冲突最为严重。这种危险的相互作用在摄像头安装地点更为常见。相比之下，观察到更频繁的是一种更安全的相互作用模式，即适度的驾驶风格和谨慎的穿越行为，这种模式在对比地点更为常见。然而，无论观察到哪种相互作用模式，冲突严重程度在摄像头安装地点都较低，这表明了摄像头的有效性。
应实施补充设施，如警告标志、闪光灯和速度控制措施，以保持执法摄像头的有效性。
