Smart City Emergency System

Abstract

The Smart City Emergency Response System is designed to improve the speed and efficiency of handling emergencies such as accidents, fires, and medical situations in urban areas. The system uses real-time data and advanced Data Structures and Algorithms (DSA) to quickly identify and dispatch the nearest available emergency services. Graph-based algorithms like Dijkstra’s and A* are used to find the fastest routes, while priority queues help in selecting the most suitable emergency unit. The system also applies efficient data management techniques such as hashing to store and retrieve information quickly. This project demonstrates how DSA concepts like graphs, heaps, and hashing can be applied to solve real-world problems by reducing response time, optimizing resource allocation, and improving overall emergency management in smart cities.

Research Team