Dan Danhui, Zeng Gang, Yu Xuewen
School of Civil Engineering, Tongji University, Shanghai 200092, China.
Sensors (Basel). 2024 Mar 18;24(6):1934. doi: 10.3390/s24061934.
During a vertical vortex-induced vibration (VVIV), an undulating bridge deck will affect drivers' sightlines, causing the phenomenon of drifting and changes in the far blind area, thus presenting a potential threat to driving safety. Consequently, to ensure the safety of driving on a suspension bridge deck under VVIV, it is necessary to perceive the far blind spot caused by the occlusion of the driving sightlines under this condition, and to establish an online perception and evaluation mechanism for driving safety. With a long-span suspension bridge experiencing VVIV as the engineering background, this paper utilizes the acceleration integration algorithm and the sine function fitting method to achieve the online perception of real-time dynamic configurations of the main girder. Then, based on the configurations, the maximum height of the driver's far blind area and effective sight distance are calculated accordingly, and the impact of different driving conditions on them is discussed. The proposed technical framework for driving safety perception in far blind spots is feasible, as it can achieve real-time estimation of the maximum height and effective distance of the far blind area, thereby providing technical support for bridge-vehicle-human collaborative perception and traffic control during vortex-induced vibration.
在竖向涡激振动（VVIV）过程中，起伏的桥面板会影响驾驶员视线，导致漂移现象以及远盲区的变化，从而对行车安全构成潜在威胁。因此，为确保在竖向涡激振动作用下悬索桥桥面板上行车的安全，有必要了解在此工况下因驾驶视线受阻所造成的远盲区，并建立行车安全的在线感知与评估机制。本文以一座经历竖向涡激振动的大跨度悬索桥为工程背景，利用加速度积分算法和正弦函数拟合方法实现对主梁实时动态形态的在线感知。然后，基于这些形态，相应计算出驾驶员远盲区的最大高度和有效视距，并探讨不同驾驶工况对它们的影响。所提出的远盲区行车安全感知技术框架是可行的，因为它能够实现对远盲区最大高度和有效距离的实时估计，从而为涡激振动期间的桥-车-人协同感知和交通控制提供技术支持。
