Trajectory Prediction And Near Miss Detection Using Social Distancing Monitoring And Distance Based Proximal Indicators

Lim, Lek Ming (2025) Trajectory Prediction And Near Miss Detection Using Social Distancing Monitoring And Distance Based Proximal Indicators. PhD thesis, Universiti Sains Malaysia.

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Abstract

Despite efforts to improve road safety, accidents persist due to insufficient evidence from manual police reporting, non-optimized detection algorithms, and technical limitations in real-time video processing and modelling. This study focuses on detecting and tracking vehicles within a monitoring system and analysing near-miss incidents (black spot and blind spot), specifically examining the influence of video quality on detection performance using advanced model detectors (YOLOv3-tiny, YOLOv4-tiny, YOLOv5, YOLOv7, YOLOv7+G3HN, YOLOv7+CNeB, and Faster RCNN). The experiment employed methods for vehicle detection and trajectory prediction through the monitoring system.

Item Type: Thesis (PhD)
Subjects: Q Science > QA Mathematics > QA1-939 Mathematics
Divisions: Pusat Pengajian Sains Matematik (School of Mathematical Sciences) > Thesis
Depositing User: Mr Aizat Asmawi Abdul Rahim
Date Deposited: 18 Sep 2026 00:43
Last Modified: 18 Sep 2026 00:43
URI: http://eprints.usm.my/id/eprint/64971

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