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Volume 8 Issue 1
Jan.  2021

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Xiaoxiang Na and David Cole, "Theoretical and Experimental Investigation of Driver Noncooperative-Game Steering Control Behavior," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 189-205, Jan. 2021. doi: 10.1109/JAS.2020.1003480
Citation: Xiaoxiang Na and David Cole, "Theoretical and Experimental Investigation of Driver Noncooperative-Game Steering Control Behavior," IEEE/CAA J. Autom. Sinica, vol. 8, no. 1, pp. 189-205, Jan. 2021. doi: 10.1109/JAS.2020.1003480

Theoretical and Experimental Investigation of Driver Noncooperative-Game Steering Control Behavior

doi: 10.1109/JAS.2020.1003480
More Information
  • This paper investigates two noncooperative-game strategies which may be used to represent a human driver’s steering control behavior in response to vehicle automated steering intervention. The first strategy, namely the Nash strategy is derived based on the assumption that a Nash equilibrium is reached in a noncooperative game of vehicle path-following control involving a driver and a vehicle automated steering controller. The second one, namely the Stackelberg strategy is derived based on the assumption that a Stackelberg equilibrium is reached in a similar context. A simulation study is performed to study the differences between the two proposed noncooperative- game strategies. An experiment using a fixed-base driving simulator is carried out to measure six test drivers’ steering behavior in response to vehicle automated steering intervention. The Nash strategy is then fitted to measured driver steering wheel angles following a model identification procedure. Control weight parameters involved in the Nash strategy are identified. It is found that the proposed Nash strategy with the identified control weights is capable of representing the trend of measured driver steering behavior and vehicle lateral responses. It is also found that the proposed Nash strategy is superior to the classic driver steering control strategy which has widely been used for modeling driver steering control over the past. A discussion on improving automated steering control using the gained knowledge of driver noncooperative-game steering control behavior was made.

     

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    Highlights

    • Two noncooperative-game driver steering control strategies were investigated
    • The two strategies are derived based on Nash and Stackelberg equilibria, respectively
    • The two strategies are found represent distinct driver steering control behavior
    • The Nash strategy is found capable of representing measured driver steering control
    • The Nash strategy is found superior to a classic strategy in representing driver steering control

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