The Intelligent Vehicle Control System Based on the Fuzzy Neural Network Technology

Abstract:

The intelligent transportation system (ITS) is an important field of technology in which all countries over the world compete to make researches and developments, so the research of the intelligent vehicle, which is the main body of the intelligent transportation, is in the ascendant. This paper will discuss the control system of intelligent vehicle. This paper analyzes the technological parts of the intelligent vehicle control system and proposes that the millimeter radar should be used as the main component of the intelligent vehicle environment identification system; aiming at the anti-collision problems of the speeding intelligent vehicles, it puts forward the car rear-end location algorithm and the safe following distance prediction model based on the neural network technology; and it also gives the criterion for margin of the danger and the hardware composition principles of the vehicle control system.

• Periodical: Advanced Materials Research (Volume 487)
• Pages: 830-835
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.487.830
• Online since: March 2012
• Authors: Jin Yi Lian
• Keywords: Anti-Collision, Intelligent Transportation System (ITS), Intelligent Vehicle, Neural Network (NN)

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DOI: 10.1016/s0389-4304(97)00010-6

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