Regional Traffic Control System Study Based on Pattern Identification

Bai Zhan Xia; Huai Wen He

doi:10.4028/www.scientific.net/AMM.121-126.4552

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Regional Traffic Control System Study Based on Pattern Identification
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 121-126Regional Traffic Control System Study Based on...

Regional Traffic Control System Study Based on Pattern Identification

Abstract:

The thesis introduces traffic patterns definition and identification. Combined with actual project it has established the regional traffic signal coordination and control system based on particle swarm K-means clustering algorithm pattern identification. It puts forward system structure and working principles with discussions focused on several key problems existing in traffic pattern identification process.

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Periodical:

Applied Mechanics and Materials (Volumes 121-126)

Pages:

4552-4559

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.121-126.4552

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Online since:

October 2011

Authors:

Bai Zhan Xia, Huai Wen He

Keywords:

Clustering Analysis (CA), Intelligent Traffic, Particle Swarm Optimization Algorithm (PSO), Pattern Identification

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References

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