UTDrive

Research Platform for In-Vehicle Safety Systems and Driver Behavior Modeling

Analogy between speech recognition and route recognition.

HMM (Hidden Markov Models) is an effective statistical tool to model driver behavior for the following reasons:

 

· HMM can model the stochastic nature of the driving behavior, providing sufficient statistical smoothing while offering effective temporal modeling,

 

· The variations in driving signals across the drivers can be modeled (driver identification) or suppressed (driver-independent route models) according to the requirements of the desired task.

Phone: +1-972-883-6237

E-mail: pinar.boyraz@utdallas.edu

             John.Hansen@utdallas.edu

Contact Information

Stochastic Driver Behaviour Modeling

Copyright by Pinar Boyraz © 2008