Modeling the Imperfect Driver: Incorporating Human Factors in a Microscopic Traffic Model

Abstract

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.