Work

Optimization of Urban Traffic Through Integration of Dijkstra’s Algorithm with Edge Computing

Year: 2025

Type: article

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.

Source: Journal of Applied Mathematics and Physics

DOI: 10.4236/jamp.2025.137139

Authors: Mahamat Abdel Aziz Assoul, Abakar Mahamat Tahir, Taibi Mahmoud, Fabien Kenmogne

Institutions: University of N'Djamena, Badji Mokhtar-Annaba University, University of Douala

Language: English

Topic: Traffic control and management

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: diamond

OpenAlex ID: W4412763150