Lindorfer, M., Mecklenbräuker, C., & Ostermayer, G. (2018). Modeling the Imperfect Driver: Incorporating Human Factors in a Microscopic Traffic Model. IEEE Transactions on Intelligent Transportation Systems, 19(9), 2856–2870. https://doi.org/10.1109/tits.2017.2765694
In this paper we present the Enhanced Human Driver Model (EHDM), a time-continuous microscopic car-following (CF) model which considers numerous characteristics attributable to the human driver. It is based on the popular Intelligent Driver Model (IDM) and the Human Driver Model (HDM), a meta-model which enables the integration of human driving behavior into classical follow-the-leader models. We extend the HDM by adding variable, situation-dependent reaction times, different types of driver distraction and driving errors to the model. Furthermore, we show that the EHDM provides a more thorough representation of human driving behavior compared to the HDM by performing dynamic traffic simulations and by validating both models with the aid of real-word vehicle data captured in an extensive field test.
Sustainable and Low Emission Mobility: 50% Modelling and Simulation: 50%