JOURNAL ARTICLE

Hierarchical Control for Urban Traffic Trunk Roads Based on Multi-Agent

Abstract

This paper applies the principle of hierarchical coordination, fuzzy control theory and rolling horizon technique in coordinated control of urban trunk. The trunk control model includes two layers, manipulative layer and coordinated layer, controlled by different agents with different strategy. The paper gives detail description of coordinated layer control model, which applies fuzzy algorithm for optimizing public signal cycle, and rolling horizon technique based on PSO for optimizing intersection green time. Simulation shows the proposed model has better performances than inductive-loop control model.

Keywords:
Computer science Intersection (aeronautics) Layer (electronics) Fuzzy control system Fuzzy logic Control (management) Control theory (sociology) Horizon Artificial intelligence Engineering Mathematics

Metrics

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FWCI (Field Weighted Citation Impact)
10
Refs
0.10
Citation Normalized Percentile
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Topics

Traffic control and management
Physical Sciences →  Engineering →  Control and Systems Engineering
Simulation and Modeling Applications
Physical Sciences →  Engineering →  Control and Systems Engineering
Transportation Planning and Optimization
Social Sciences →  Social Sciences →  Transportation

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