An Adaptive Network Fuzzy Inference System Controller for Car Following Behavior

Abstract:

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This article focuses on modeling and intelligent control of car following behavior. The car following behavior has been modeled by nonlinear equations, and this model has been validated by measured data of different drivers and cars and has been simulated in MATLAB software. An ANFIS controller for car following behavior has been designed and simulated in this paper. The simulated relative distance between the LV and the FV and relative speed measured by the radar sensor are sent into the ANFIS controller to simulate the car following performance. The simulation results show that the ANFIS controller has better effect than the real drivers to obtain objective of setting the least relative speed and safe distance. The presented controller can be used in analyzing and correcting driver’s behaviors, developing cooperative systems and safety systems of driving, intelligent car and traffic flow.

Info:

Periodical:

Advanced Materials Research (Volumes 179-180)

Edited by:

Garry Zhu

Pages:

1156-1161

DOI:

10.4028/www.scientific.net/AMR.179-180.1156

Citation:

Z. J. Long and J. F. Li, "An Adaptive Network Fuzzy Inference System Controller for Car Following Behavior", Advanced Materials Research, Vols. 179-180, pp. 1156-1161, 2011

Online since:

January 2011

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Price:

$35.00

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