TITLE:
Optimization of Urban Traffic Through Integration of Dijkstra’s Algorithm with Edge Computing
AUTHORS:
Mahamat Abdel Aziz Assoul, Abakar Mahamat Tahir, Taibi Mahmoud, Fabien Kenmogne
KEYWORDS:
Edge Computing, Urban Traffic, Dijkstra’s Algorithm, IoT, Real-Time Routing
JOURNAL NAME:
Journal of Applied Mathematics and Physics,
Vol.13 No.7,
July
30,
2025
ABSTRACT: This study proposes a decentralized urban traffic optimization approach by integrating Dijkstra’s algorithm with edge computing. The system models road networks as dynamic graphs, using real-time data from IoT sensors to adapt routing decisions. A three-layer architecture reduces latency and improves scalability. Simulation results show a 42% decrease in response time and a 25% reduction in congestion compared to centralized systems. The approach demonstrates high reliability and potential for smart city applications.