The aim of this research paper is to propose a novel approach for managing vehicle density in urban areas through the detection of emergency vehicles.The suggested system employs sophisticated computer vision methodologies to analyse real-time traffic data and effectively detect emergency vehicles, hence facilitating streamlined traffic management and prioritised passage. The empirical findings provide evidence for the efficacy of the suggested approach in mitigating traffic congestion and enhancing emergency response durations.
Vehicle Density and Emergency Vehicle Detection for Smart Traffic Control
01.11.2023
1812602 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Smart Traffic Controller Based on Traffic Density and Prioritized Emergency Vehicle Clearance
British Library Conference Proceedings | 2022
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