Human Driver Model Development

Delphine Cody, Swekuang Tan and Aurelien Garcia

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

Abstract: This report presents the continuation of the development of a naturalistic driver model (PADRIC) initiated under MOU 369 Human driver model. The development consists of increasing the scope of simulation capabilities to lane-change maneuvers and gathering data for the calibration of the car-following mode already implemented. The first part of the report presents the development of the model architecture for integrating lane change maneuver. The second part is focused on the data collection that was conducted and proposes a discussion of the method and shortcoming for gathering the data of interest.

Keywords: Engineering; cognitive driver model; naturalistic driving (search for similar items in EconPapers)
Date: 2005-06-01
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.escholarship.org/uc/item/0qz9w3jz.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:qt0qz9w3jz

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 ().