Differential Analysis of Emergency Vehicle Detection in Urban Traffic : A Systematic Review

Dr. Sheshang Degadwala; Ravindra Baria

doi:10.32628/CSEIT2410585

Authors

Dr. Sheshang Degadwala Professor & Head, Department of Computer Engineering, Sigma University, Vadodara, Gujarat, India Author
Ravindra Baria Research Scholar, Department of Computer Engineering, Sigma University, Vadodara, Gujarat, India Author

DOI:

https://doi.org/10.32628/CSEIT2410585

Keywords:

Emergency Vehicle Detection, Urban Traffic, Differential Analysis, Traffic Management, Systematic Review, Feature Extraction

Abstract

The differential analysis of emergency vehicle detection in urban traffic is crucial for improving response times and reducing traffic-related delays during emergencies. This systematic review aims to analyze various methods and technologies, such as acoustic, visual, and sensor-based systems, used for detecting emergency vehicles in complex urban environments. The motivation behind this study is the growing need for more efficient traffic management systems that prioritize emergency vehicles, minimizing delays caused by congestion. However, limitations include the inconsistent performance of detection systems in varying weather, lighting, and noise conditions, as well as integration challenges with existing infrastructure. The objective is to evaluate current detection methods, identify their limitations, and propose potential improvements to enhance the accuracy and reliability of emergency vehicle detection in urban traffic systems.

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