Shortest Path Routing Algorithm for Distance

Algorithm: Dijkstra’s Algorithm

Data Structures Used:

• Graph Representation: Adjacency lists.
• Priority Queue: Used for implementing Dijkstra’s algorithm efficiently.

Challenges:

• Handling large graphs efficiently.
• Dealing with negative edge weights (if applicable).
• Implementing efficient priority queue operations.

Benefits:

• Optimizes navigation for drivers.
• Minimizes travel time and fuel consumption.
• Enhances user satisfaction by providing quicker routes.

Example Code (C++):

Shortest Path

Time Complexity:

• Dijkstra’s Algorithm:
  • Time Complexity: O((V + E) log V)

Space Complexity:

• Dijkstra’s Algorithm:
  • Space Complexity: O(V + E)