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Li, X., Zhang, Y. and Yu, S. (2021) 5G-Enabled Edge Computing for Intelligent Transport Systems: Challenges and Solutions. IEEE Network, 35, 198-205.

has been cited by the following article:

• 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.