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Abstract

Collision risk assessment for maritime traffic monitoring in vessel traffic service (VTS) is a key technology for ensuring the safety of both vessels and bridges. This study proposes a risk assessment methodology using a single measure of collision risk ratio that could assist in reducing the cognitive load of VTS operators. To explain the proposed method, we first define the semantic and mathematical relationship of vessel– bridge pier collisions; then, we establish the risk assessment framework using the collision risk ratio by combining deviation angle and stopping distance probabilities. To validate the proposed method, we conducted an experiment in the coastal waters near the Mokpo Bridge, Republic of Korea. First, we obtained automatic identification system data from the vessels; then, we assessed the vessel–bridge pier collision risk. The results confirmed the method’s effectiveness in identifying high-collision potential vessel-pier pairs, allowing the determination of vessels and piers that require intensive traffic monitoring to prevent vessel–bridge collisions.

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