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Research on a Longitudinal Driver Model Based on Quadratic-Lasso Regression
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    Abstract:

    To better simulate the real driver behavior, a longitudinal driver regression model based on quadratic regression and the Lasso regression method is proposed. Firstly, by collecting longitudinal driving behavior data, state parameters that may affect driving behavior are extracted, and a quadratic regression driver model was estab? lished. Then, the Lasso regression method is applied to screen the state parameters for the multicollinearity problem in the multi-parameter regression model. Finally, a quadratic regression driver model is developed based on the screened data. In order to verify the effectiveness of the model, a simulation comparison is made between the pro? posed model and PI driver and Lasso regression driver models. The simulation results show the driver model devel? oped here not only has a better effect on driving cycle traction when compared with the other two models but can also better reflect the characteristics of actual driving behavior.

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  • Received:
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  • Online: September 07,2022
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