Review on Active Risk Perception and Assessment Technologies for Bridge Collision Prevention
LIU Jie
ZHANG Xiaocheng
WANG Lixin
LIN Jianfu
ZHOU Zihan
Abstract：With the accelerated construction of cross-river and cross-sea bridges and the continuously increasing density of vessel traffic,ship-bridge collision incidents have become more frequent,posing severe threats to bridge structural safety and maritime traffic order.This paper systematically reviews the risk perception and assessment technologies for active bridge collision prevention,focusing on multi-source vessel target sensing technologies(AIS,visible light,infrared,radar,etc.)and their multi-source data fusion-based early warning mechanisms.Strategies for multimodal data fusion and ship collision risk assessment methods are analyzed.Current technical bottlenecks are summarized,and future research directions are proposed,including edge intelligence deployment,system-level collaborative integration,digital twin-based collision prevention frameworks,and standardized evaluation systems.This study aims to provide a theoretical foundation and technical support for resilient and intelligent bridge safety assurance.
Keywords：Active bridge collision preventionShip-bridge collisionMulti-source sensingRisk assessment
Publication Date：2025-12-30
Online Publishing Date：2025-12-15(First online date of this platform, not the publication date of the document)
Pages：11( 169-179 )