An Examination of Emergency Vehicle Traffic Management and Control Systems
Sandip D. Satav1, Poonam D Lambhate2, Shailesh M Hambarde3, Aparna S Hambarde4, Aarti S Satav5
1Dr. Sandip D. Satav, Associate Professor, Department of Information Technology, JSCOE, Pune (Maharashtra), India.
2Dr. Poonam D Lambhate, Professor, Department of Computer Engineering, JSCOE, Pune (Maharashtra), India.
3Dr. Shailesh M Hambarde, Associate Professor, Department of Electronics & Telecommunication, JSCOE, Pune (Maharashtra), India.
4Dr. Aparna S Hambarde, Assistant Professor, Department of Computer Engineering, KJCOEMR, Pune (Maharashtra), India.
5Mrs. Aarti S Satav, Manager, State Bank of India, Pune (Maharashtra), India.
Manuscript received on 11 October 2024 | First Revised Manuscript received on 19 December 2024 | Second Revised Manuscript received on 01 January 2025 | Manuscript Accepted on 15 January 2025 | Manuscript published on 30 January 2025 | PP: 20-28 | Volume-12 Issue-1, January 2025 | Retrieval Number: 100.1/ijies.D816913041124 | DOI: 10.35940/ijies.D8169.12010125
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Emergency response is crucial for keeping the public safe and ensuring the well-being of individuals in critical situations. The prompt and efficient deployment of emergency vehicles is necessary to minimize response times and reduce potential harm to people and property. This comprehensive survey paper explores various approaches, strategies, and technologies used to optimize traffic flow for emergency vehicles. It begins by emphasizing the importance of swift emergency vehicle response, particularly in medical emergencies and law enforcement. The paperthen examines current methodsfor managing traffic and the challenges that hinder the timely movement of emergency vehicles, such as congestion, infrastructure limitations, and communication problems. Additionally, it presents case studies and real-world examples that demonstrate the effectiveness and challenges of different strategies for optimizing traffic flow. The survey also delves into the ethical considerations, privacy concerns, and societal impacts associated with prioritizing emergency vehicles.
Keywords: Machine Learning, Object Detection, Traffic Optimization.
Scope of the Article: Internet of Things (IoT)