In the
last few decades, a number of driving models have been put forward
based on the analogy with self-driven many particle systems. Examples
of such models are the social-forces type models for car-following
behavior, the Intelligent Driver Model, and the MOBIL model describing
lane-changing behavior.
We present the main behavioral assumptions, the derivation of the mathematical model, and the resulting car-following and lane changing models. We also show the analogy and differences between the proposed model and other driving models, and discuss under which behavioral assumptions the proposed model reduces to well known driving models based on principles from physics (e.g. social forces). Finally, other model properties (such as the fundamental diagram and emergent lane distributions) will be presented.
Talk