ADVANCED TRAFFIC CLEARANCE SYSTEM FOR EMERGENCY VEHICLES

Authors

  • P Chandra Vamshi Yadav Author
  • Dr. Md Asif Author

Keywords:

interoperability, data security, cost considerations

Abstract

Effective traffic management is critical for ensuring that emergency vehicles, such as ambulances, fire trucks, and police cars, can reach their destinations quickly and safely. The integration of Advanced Traffic Management Systems (ATMS) specifically designed for emergency vehicles plays a key role in reducing response times, preventing delays, and improving road safety. This paper discusses various approaches and technologies utilized in developing an advanced traffic management framework for emergency services.
Key technologies include real-time traffic monitoring through sensors and cameras, GPS-based tracking, and communication between traffic lights and emergency vehicles using Vehicle-to-Infrastructure (V2I) systems. These technologies enable dynamic traffic signal control, allowing emergency vehicles to have priority at intersections, clear traffic lanes, and mitigate congestion in real-time. Moreover, predictive algorithms and artificial intelligence (AI) can forecast traffic conditions and adjust traffic signals proactively to ensure optimal routing for emergency vehicles.
This paper explores the benefits of integrating ATMS with smart
cityinfrastructure, including enhanced response times, reduced risk of accidents involving emergency vehicles, and more efficient utilization of road networks.
Additionally, it addresses the challenges associated with deploying such systems, including interoperability, data security, and cost considerations. The study concludes that an advanced traffic management system designed for emergency vehicles can significantly enhance the efficiency and safety of urban transportation systems, saving lives and resources in critical situations.

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Published

09-11-2024

How to Cite

ADVANCED TRAFFIC CLEARANCE SYSTEM FOR EMERGENCY VEHICLES. (2024). International Journal of Information Technology and Computer Engineering, 12(4), 22-27. https://ijitce.org/index.php/ijitce/article/view/757