Freeway Ramp Metering Based on Cell Transmission Model and Single Neuron

Yan Di Ye; Yan Yan Liu; Xin Rong Liang; Chao Jun Dong

doi:10.4028/www.scientific.net/AMM.423-426.2877

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 423-426Freeway Ramp Metering Based on Cell Transmission...

Freeway Ramp Metering Based on Cell Transmission Model and Single Neuron

Abstract:

In this work, we apply single neuron method to relieve freeway traffic congestion. We consider a freeway composed of cells and entry/exit ramps, and formulate the ramp metering problem as a density tracking process. The cell transmission model (CTM) is firstly formulated and ramp control objective is determined. Based on CTM and single neuron, a freeway ramp metering system is then designed, and the learning algorithm of single neuron is given in detail. Finally, the ramp metering system is simulated in MATLAB software. The results show that this method can effectively deal with this class of control problem, and can achieve a perfect density tracking performance. This ramp metering can eliminate traffic congestion and maintain traffic flow stability.

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Periodical:

Applied Mechanics and Materials (Volumes 423-426)

Pages:

2877-2881

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.423-426.2877

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Online since:

September 2013

Authors:

Yan Di Ye, Yan Yan Liu, Xin Rong Liang, Chao Jun Dong

Keywords:

Cell Transmission Model, Freeway, Ramp Metering, Simulation, Single Neuron

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