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Cited by 296

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

A Safe Longitudinal Control for Adaptive Cruise Control and Stop-and-Go Scenarios

Martinez, John-Jairo, Canudas-de-Wit, Carlos·2007·IEEE Transactions on Control Systems Technology

Abstract

In this paper, we propose a novel reference model-based control approach for automotive longitudinal control. The reference model is nonlinear and provides dynamic solutions consistent with safety constraints and comfort specifications. The model is based on physical laws of compliant contact and has the particularity that its solutions can be explicitly described by integral curves. This allows to characterize the set of initial condition for which the constraints can be met. This model is combined with a simple feedback loop used to compensate unmodeled dynamics and external disturbances. Model simulations together with experimental results are also presented

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Metadata

Authors
Martinez, J.-J., & Canudas-de-Wit, C.
Venue
IEEE Transactions on Control Systems Technology
Published
2007-03
Volume
15
Issue
2
Pages
246-258
ISSN
1063-6536 (ISSN-L)
OpenAlex
W2034190723
Cited by
296
References
8
FWCI
19.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Safe Longitudinal Control for Adaptive Cruise Control and Stop-and-Go Scenarios. https://app.cochat.ai/papers/10.1109/tcst.2006.886432
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Martinez, J.-J., & Canudas-de-Wit, C. (2007). A Safe Longitudinal Control for Adaptive Cruise Control and Stop-and-Go Scenarios. IEEE Transactions on Control Systems Technology. https://doi.org/10.1109/tcst.2006.886432

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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.