Vehicle behaviour estimation for abnormal event detection using distributed fiber optic sensing

• URL: http://arxiv.org/abs/2602.12591v1
• Date: Fri, 13 Feb 2026 04:05:38 GMT
• Title: Vehicle behaviour estimation for abnormal event detection using distributed fiber optic sensing
• Authors: Hemant Prasad, Daisuke Ikefuji, Shin Tominaga, Hitoshi Sakurai, Manabu Otani,
• Abstract summary: This paper presents a method to detect single-lane abnormalities by tracking individual vehicle paths and detecting vehicle lane changes along a section of a road.<n>The evaluation of our proposed method with real traffic data showed 80% accuracy for lane change detection events that represent presence of abnormalities.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The distributed fiber-optic sensing (DFOS) system is a cost-effective wide-area traffic monitoring technology that utilizes existing fiber infrastructure to effectively detect traffic congestions. However, detecting single-lane abnormalities, that lead to congestions, is still a challenge. These single-lane abnormalities can be detected by monitoring lane change behaviour of vehicles, performed to avoid congestion along the monitoring section of a road. This paper presents a method to detect single-lane abnormalities by tracking individual vehicle paths and detecting vehicle lane changes along a section of a road. We propose a method to estimate the vehicle position at all time instances and fit a path using clustering techniques. We detect vehicle lane change by monitoring any change in spectral centroid of vehicle vibrations by tracking a reference vehicle along a highway. The evaluation of our proposed method with real traffic data showed 80% accuracy for lane change detection events that represent presence of abnormalities.

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