# Online Collaborative Perception of Full Bridge Deck Driving Visual of Far Blind Area on Suspension Bridge during Vortex-Induced Vibration

## TL;DR

This paper introduces a method to enhance driving safety on suspension bridges during vibrations by detecting and evaluating far blind areas in real time.

## Contribution

A novel technical framework for online collaborative perception of far blind areas during bridge vibrations is proposed.

## Key findings

- The acceleration integration algorithm and sine function fitting method effectively perceive dynamic bridge configurations.
- The framework calculates the maximum height and effective sight distance of far blind areas in real time.
- Different driving conditions significantly impact the blind area and sight distance metrics.

## Abstract

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.