The objective of this paper is to examine the driver’s mental workload experience during extreme nonlinear high slip driving conditions, i.e. with the tyres being close to saturation. This is done for the ISO Double Lane Change manoeuvre, based on extensive test data from two professional test drivers, for different speeds, and with varying tyres. Optimal double lane change closed loop performance is defined and determined and compared to the actual test performance, showing and explaining differences in this performance. A path-tracking driver model has been applied to examine the driver model parameters steering gain and preview time. It is shown that these parameters, which can easily be derived from the closed loop vehicle handling data, vary with mental workload as experienced by these test drivers. This correlation has been demonstrated in previous research for normal driving conditions, where workload, in this paper determined through RSME (Rating Scale Mental Effort) scores, is affected by traffic conditions, where fatigue, experience and learning effects play a significant role. Hence, this paper shows that this, i.e. using the driver model as a virtual sensor to estimate mental workload, can be extended to high slip conditions.Driver model parameters vary in time, and are not independent. Different combinations of preview time and steering gain lead to the same closed loop performance. We have extended the application of the driver model, the relationship between the driver model parameters and closed loop stability to high slip conditions, before we applied it to severe, i.e. high slip lane change performance.


    Access

    Download


    Export, share and cite



    Title :

    The Driver Experience Under Extreme Lane Change Conditions


    Contributors:

    Publication date :

    2018-11-26


    Remarks:

    10.5334/ijds.7
    International Journal of Driving Science; Vol 1, No 1; 1 ; 2397-1959



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    621



    Improving clarity, cooperation and driver experience in lane change manoeuvres

    A. Haar / A.B. Haeske / A. Kleen et al. | DOAJ | 2022

    Free access

    LANE CHANGE ASSIST FOR INEXPERIENCED DRIVER

    GUPTA ROHIT / ABDELRAOUF AMR / HAN KYUNGTAE | European Patent Office | 2024

    Free access

    Driver-Model of Lane Change Maneuvers

    Ehmanns, D. / ITS Congress Association | British Library Conference Proceedings | 2000


    Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions

    Riera, Luis / Ozcan, Koray / Merickel, Jennifer et al. | ArXiv | 2019

    Free access

    Lane change manoeuvre analysis: inter- and intra-driver variability in lane change behaviour

    Koppel, C. N. / Petermeijer, S. M. / Doornik, J. van et al. | TIBKAT | 2019