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人工神经网络在车辆行驶称重技术中的应用 被引量:1

The application of ANN on the technology for weight-in-motion
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摘要 车辆行驶称重技术是通过测量分析车辆轮胎与路面作用力,从而计算车辆的静态载荷和静态轴载等相关参数的车辆载荷检测技术。基于人工神经网络综合分析了影响轮胎作用力的各个因素的影响关系,通过自行研制的油管传感器式车辆行驶称重仪进行了相关试验验证,达到了预定的精度和实用要求。 Weight-in-motion (WIM)is a process of measuring the dynamic tire forces of a moving vehicle and estimating the corresponding tire loads of the static vehicle. The tire force is very complex for the reason of load, velocity and the tire pressure. The paper analyzed those reasons on the basis of artificial neural network (ANN)and also verified the method through the serf-researched weight-in-motion scale of oil-hose sensor.
出处 《汽车科技》 2005年第5期30-33,共4页 Auto Sci-Tech
关键词 行驶称重 人工神经网络 轮胎路面作用力 weigh-in-motion artificial neural network tire force
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参考文献4

  • 1James G.Strathman. The Oregon DOT Slow-speed Weigh-in-motion ( SWIM ) Project[M]. Portland:Portland' State University, December 1998.
  • 2庄继德.计算汽车地面力学[M].北京:机械工业出版社,2001..
  • 3楼顺天 施阳.基于MATLAB的系统分析与设计—神经网络[M].西安:西安电子科技大学出版社,1999..
  • 4Jacob, B. (2000)'Assessment of the accuracy and classification of weigh-in-motion systems:Part 1 Statistical background' ,Heavy Vehicle Systems,A Series of the International Journal of vehicle Design, Vol.7, Nos 2/3 ,pp,136-152.

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