Freeway Traffic Density Control Based on CMAC

Abstract:

Aiming at the nonlinear and time-variable characteristics of freeway traffic systems, a composition control method based on CMAC (Cerebellar Model Articulation Controller) and PID controller is applied to address the traffic density control problem in a macroscopic level freeway environment with ramp metering. Firstly, the second-order traffic flow model to describe freeway flow process is established. Then the principle of CMAC-PID composition control is formulated, and the learning algorithm is given in detail. Based on the model and in conjunction with feedback control theory, CMAC-PID based traffic density controller is designed. Finally, the controller is simulated in MATLAB software. The results show that this controller designed has fast response, good dynamic and steady-state performance. It can achieve a desired traffic density along the freeway mainline.

• Periodical: Applied Mechanics and Materials (Volumes 220-223)
• Pages: 2726-2729
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.220-223.2726
• Online since: November 2012
• Authors: Xin Rong Liang, Guo Yong Man, Jian Ye Li
• Keywords: CMAC, Freeway Ramp Metering, Traffic Density Control, Traffic Flow Model

References

[1] Z. S. Hou, J. X. Xu, J. W. Yan: Transportation Research Part C. Vol. 16(2008), p.71

[2] X. R. Liang, X. Y. Wu, J. Y. Li: Advanced Materials Research. Vol. 317-319(2011), p.1394

[3] X. M. Cao, B. L. Lin, J. L. Ji: Journal of Systems Science and Information. Vol. 3(2005), p.561

[4] C. Q. Mei, H. J. Huang, T. Q. Tang: Acta Physica Sinica. Vol. 57(2008), p.4786