Model of Human Vehicle Driving - a Predictive Nonlinear Optimization Approach

Günther Prokop

Institute of Transportation Studies, Research Reports, Working Papers, Proceedings from Institute of Transportation Studies, UC Berkeley

Abstract: When driving a vehicle the human acts as a controller in a highly dynamic environment. Thus human behavior in that control loop has to a large extent been described using control theoretical methodology. We develop a driver model, in which driving is seen as a model predictive control task in such a way that the driver accumulates knowledge about his/her vehicle's handling properties. He/she builds a model out of that knowledge and uses it to predict the vehicle's future reactions on his/her control inputs. The human's behavioral optimization is reflected in the driver model by using that prediction model in order to optimize control inputs such, that a set of criteria, which reflect human well-being, are minimized. Prediction models and criteria depend on the current driving situation and on personal driver preferences. The principal properties of the driver model are discussed using very simple standard maneuvers like driving straight and cornering under different preferences. The method is then applied to a more complex track. The findings from that are backed up by experiments done in real world and in a driving simulator.

Keywords: Engineering; Driving; Models; Predictive control; Control; Optimization; Methodology (search for similar items in EconPapers)
Date: 2000-10-01
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.escholarship.org/uc/item/3b87b41z.pdf;origin=repeccitec (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cdl:itsrrp:qt3b87b41z

Access Statistics for this paper

More papers in Institute of Transportation Studies, Research Reports, Working Papers, Proceedings from Institute of Transportation Studies, UC Berkeley Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().