2006•Journal of Tsinghua University(Science and Technology)Requires access

Bus-priority traffic signal multi-layer fuzzy control model

Huapu Lu

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Abstract

A multi-layer fuzzy controller was developed for intersection traffic signal control based on the traffic demand intensity. The first layer in the controller determines the traffic demand intensity for each approach and phase. The second layer is the phase optimization layer which determines the phase sequence of the intersection. The traffic demand intensities and phase sequences are then used in the third layer to determine whether the current signal phase should be extended or terminated. The bus-priority controller was then based on the multi-layer fuzzy control model. The simulation result shows that the bus-priority fuzzy controller gives better performance than the fixed-time traffic signal control model by reducing average bus delays at intersections.

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What this paper is about

A multi-layer fuzzy controller was developed for intersection traffic signal control based on the traffic demand intensity. The first layer in the controller determines the traffic demand intensity for each approach and phase. The second layer is the phase optimization layer which determines the phase sequence of the intersection. The traffic demand intensities and phase sequences are then used in the third layer to determine whether the current signal phase should be extended or terminated. The bus-priority controller was then based on the multi-layer fuzzy control model. The simulation result shows that the bus-priority fuzzy controller gives better performance than the fixed-time traffic signal control model by reducing average bus delays at intersections.

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Available abstract

A multi-layer fuzzy controller was developed for intersection traffic signal control based on the traffic demand intensity. The first layer in the controller determines the traffic demand intensity for each approach and phase. The second layer is the phase optimization layer which determines the phase sequence of the intersection. The traffic demand intensities and phase sequences are then used in the third layer to determine whether the current signal phase should be extended or terminated. The bus-priority controller was then based on the multi-layer fuzzy control model. The simulation result shows that the bus-priority fuzzy controller gives better performance than the fixed-time traffic signal control model by reducing average bus delays at intersections.

Key concepts: Intersection (aeronautics), Controller (irrigation), SIGNAL (programming language), Fuzzy logic, Layer (electronics), Control theory (sociology), Fuzzy control system, Bus priority

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