A Bounded Rational Driver Model

TL;DR

This paper presents a novel stochastic car-following model that incorporates bounded rationality and human decision-making deficiencies, featuring continuous acceleration and a non-Newtonian formulation for improved realism.

Contribution

It introduces a bounded rational driver model that accounts for human decision-making limitations and improves upon existing models with continuous acceleration and stochastic elements.

Findings

Model captures human driving behavior more accurately.

Provides a continuous acceleration framework.

Addresses shortcomings of previous models.

Abstract

This paper introduces a car following model where the driving scheme takes into account the deficiencies of human decision making in a general way. Aditionally, it improves certain shortcomings of most of the models currently in use: it is stochastic but has a continuous acceleration. This is achieved at the cost of formulating the model in terms of the time derivative of the acceleration, making it non-Newtonian.