Paper Title:
An Adaptive Network Fuzzy Inference System Controller for Car Following Behavior
  Abstract

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, 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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