The Frontiers of Society, Science and Technology, 2024, 6(5); doi: 10.25236/FSST.2024.060506.
Linlin He, Yanbin Long
University of Science and Technology Liaoning, Anshan, China
This paper proposes an intelligent traffic congestion management system based on the Internet of Things. Through real-time monitoring of traffic conditions, data analysis and the application of adaptive scheduling algorithms, it aims to alleviate traffic congestion and improve road traffic efficiency. Firstly, the paper expounds the advantages and characteristics of the system, including real-time, dynamic, flexibility and adaptability. Then, through the detailed analysis of several experiments and implementation cases, the remarkable effect of the system in improving traffic management efficiency and reducing congestion is verified. The case covers many aspects such as intersection optimization in the core area of the city, expressway congestion warning and evacuation, campus traffic management and safety improvement. Finally, the paper summarizes the research results, looks forward to the future development direction of the system, and emphasizes the great potential of the combination of Internet of Things technology and other emerging technologies in the field of intelligent transportation management.
Internet of Things; Intelligent transportation; Congestion management; Adaptive scheduling; Traffic optimization; Real-time monitoring; Data analysis; Traffic management efficiency
Linlin He, Yanbin Long. Research on Traffic Optimization Based on Internet of Things. The Frontiers of Society, Science and Technology (2024), Vol. 6, Issue 5: 41-47. https://doi.org/10.25236/FSST.2024.060506.
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