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Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
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Development of a Smart Signalization for Emergency Vehicles.

Muhammad Hameed Siddiqi1, Madallah Alruwaili1, İlhan Tarimer2

  • 1College of Computer and Information Sciences, Jouf University, Sakaka 73211, Saudi Arabia.

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|July 11, 2023
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Summary
This summary is machine-generated.

A new mobile application prioritizes emergency vehicles, like ambulances and fire engines, by communicating with traffic lights. This system aims to reduce travel time and improve emergency response efficiency in congested urban areas.

Keywords:
emergency vehiclessignalingsmart roadssmart traffic lights

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Area of Science:

  • Traffic Management Systems
  • Emergency Response Logistics
  • Urban Planning

Background:

  • Increasing vehicle numbers lead to traffic congestion, delaying essential services.
  • Traditional traffic lights impede emergency vehicle passage, despite priority measures.
  • Time-sensitive missions for emergency services are critically affected by traffic delays.

Purpose of the Study:

  • To develop and evaluate a mobile application-based system for optimizing emergency vehicle transit.
  • To reduce response times for emergency services by dynamically controlling traffic signals.
  • To mitigate the impact of traffic congestion on critical emergency operations.

Main Methods:

  • A mobile application was developed to enable communication between emergency vehicles and traffic light systems.
  • The system determines optimal routes for emergency vehicles and communicates with traffic controllers.
  • Traffic lights are dynamically adjusted to grant passage to prioritized emergency vehicles.

Main Results:

  • The developed system facilitates faster travel for emergency vehicles through intersections.
  • Real-time traffic light control reduces delays for ambulances, fire engines, and police cars.
  • The application enables efficient passage until the emergency vehicle reaches its destination.

Conclusions:

  • The mobile application offers a viable solution to improve emergency vehicle response times in congested cities.
  • Dynamic traffic signal control via a dedicated app enhances the efficiency of emergency services.
  • This technology addresses a critical need for timely emergency response, potentially saving lives and property.