Research on Forecasting the State of Driver Based on Chaos Theory

Yun Liu; Zhi Xiang Hou; Dan Yu; Yi Hu Wu

doi:10.4028/www.scientific.net/AMM.48-49.954

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 48-49Research on Forecasting the State of Driver Based...

Research on Forecasting the State of Driver Based on Chaos Theory

Abstract:

Considering ‘The state of car is the outside and mechanized expression of driver character’, the HRV sets of driver are input which could show the chaos characteristic, the constructed variable named ‘safety time coefficient’ is set up as output, and then a forecasting network on the state of driver is established. And a BP algorithm combing with chaos optimize algorithm is used in the network. The simulation results show that the established network could forecast the state of drivers and the reliability is steady.

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Applied Mechanics and Materials (Volumes 48-49)

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954-959

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https://doi.org/10.4028/www.scientific.net/AMM.48-49.954

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Online since:

February 2011

Authors:

Yun Liu, Zhi Xiang Hou, Dan Yu, Yi Hu Wu

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