The DOI matches its Crossref record.
A control theoretic model of driver steering behavior
Abstract
Following well-established feedback control design principles, a control theoretic model of driver steering behavior is presented. While accounting for the inherent manual control limitations of the human, the compensation dynamics of the driver are chosen to produce a stable, robust, closed-loop driver-vehicle system with a bandwidth commensurate with the demands of the driving task being analyzed. A technique for selecting driver model parameters is a natural by-product of the control theoretic modeling approach. Experimental verification shows the ability of the model to produce driver-vehicle responses similar to those obtained in a simulated lane-keeping driving task on a curving road.>
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Predicting the effects of in-car interface use on driver performance: an integrated model approach
SALVUCCI, D. D. (2001) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.2001.0472 · Cited by 195
(2010) · Cited by 186
Adaptive driver modelling in ADAS to improve user acceptance: A study using naturalistic data
Fleming, J. M., Allison, C. K., Yan, X., Lot, R., & Stanton, N. A. (2019) · Safety Science · doi:10.1016/j.ssci.2018.08.023 · Cited by 58
Human dynamics based driver model for autonomous car
Li, L., Liu, Y., Wang, J., Deng, W., & Oh, H. (2016) · IET Intelligent Transport Systems · doi:10.1049/iet-its.2015.0173 · Cited by 36
Metadata
- Authors
- Hess, R. A., & Modjtahedzadeh, A.
- Venue
- IEEE Control Systems Magazine
- Published
- 1990-08
- Volume
- 10
- Issue
- 5
- Pages
- 3-8
- ISSN
- 0272-1708 (ISSN-L)
- OpenAlex
- W2172244602
- Cited by
- 228
- References
- 0
- FWCI
- 6.91
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A control theoretic model of driver steering behavior. https://app.cochat.ai/papers/10.1109/37.60415
- The paper
- Hess, R. A., & Modjtahedzadeh, A. (1990). A control theoretic model of driver steering behavior. IEEE Control Systems Magazine. https://doi.org/10.1109/37.60415
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.