01477174

Component

Due to technological innovations the driving task is becoming increasingly complex. Complexity of the driving task is however not only determined by an increased amount of information directed at road users, but also by other external conditions (e.g., the road design, weather and interactions with other road users). In this contribution the authors assume that the complexity of the driving tasks leads to adaptation effects in longitudinal driving behavior, in which the authors distinguish between compensation effects and performance effects. However, it was not yet clear how these effects can best be modeled. Current models, such as the Intelligent Driver Model insufficiently incorporate human factors and are therefore less adequate in describing and predicting effects due to changes in the complexity of the driving task. To this end in this contribution the authors introduce a new theoretical framework and as an example implement this framework into the Intelligent Driver Model. Through two case studies using the microscopic simulation software package MOTUS the authors show that the model performs relatively well and clearly shows the effect of a changing balance between the demand of the driving task and the capability of the driver. In this sense the authors show that an increase and relaxation in the capability of the driver provides a relatively good explanation for the capacity funnel phenomenon. Furthermore the authors show the effect of the provision of an ”optimal” amount of information versus ”information overload” on individual driving behavior and traffic flow operations. The contribution finishes with a discussion section as well as recommendations for future research.

This paper was sponsored by TRB committee AHB45 Traffic Flow Theory and Characteristics.

01470560

13-3666

English

21p

2013

Transportation Research Board 92nd Annual Meeting

Digital/other

Behavior; Driver performance; Driver support systems; Driving; Human factors; Mathematical models; Traffic flow; Traffic simulation

Intelligent Driver Model (IDM)

Complexity

Highways; Operations and Traffic Management; I73: Traffic Control

Transportation Research Board Annual Meeting 2013 Paper #13-3666

TRIS, TRB, ATRI

Feb 5 2013 12:43PM