To quantify the relationship between roadside landscape and δ wave of driver’s EEG signal, real vehicle experiments were conducted in Jilin-Hunchun expressway to collect the required data. Firstly, the relationship model between landscape color and δ wave component of driver’s EEG was developed based on power function. Then considering the cumulative impact of driving time duration on δ wave component, their relationship model was developed based on Gaussian function. Finally, relationship model among driving time duration, landscape color and δ wave was brought forward using joint modeling method. The analysis results of the model show that: the landscape color is negatively correlated with δ wave component, namely the brighter of the landscape color, the lower of driver’s fatigue level. There is a fluctuating relationship between driving time and δ wave component of EEG signal and overall δ wave component would increase with the increase of driving time. Namely the driver will force him in alert state to avoid the driving risks caused by fatigue and there is a game between falling in fatigue and resisting fatigue. The study can provide theoretical foundation for the design of freeway landscape color by considering driving fatigue.