吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (6): 1881-1886.doi: 10.13229/j.cnki.jdxbgxb201506023

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Dynamic traveling vehicle length measurement based on fuzzy adaptive of BP neural network

LI Shou-tao1, TIAN Wei1, GUO Peng-cheng1, MA Yong-xue1, ZHANG Hao2, WANG Nan3   

  1. 1.College of Communication Engineering, Jilin University, Changchun 130022, China;
    2.College of Computer Science and Technology, Jilin University, Changchun 130012, China;
    3.College of Automotive Engineering,Jilin University,Changchun 130022,China
  • Received:2014-03-24 Online:2015-11-01 Published:2015-11-01

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Abstract: Based on the analysis of large number of measured data obtained from a free toll lane of highway detection system and experimental research, a vehicle length measurement method is proposed based on BP neural network, which can measure the length when the vehicle is traveling. This method can accelerate the convergent speed of BP neural network by fuzzy adaptively adjusting the learning rate of BP neural network. A large number of real vehicle data have been obtained after this method was applied to the detection system in the highway toll lane of Lalin River, an exit of Jilin Province to Heilongjiang Province. The results show that the proposed method of dynamic vehicle length measurement can effectively improve the measuring precision of traveling vehicles.

Key words: automatic control technology, BP neural network, dynamic vehicle, vehicle length measurement, learning rate

CLC Number: 

  • TP183
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