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Cited by 727

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Predictive Cruise Control: Utilizing Upcoming Traffic Signal Information for Improving Fuel Economy and Reducing Trip Time

Asadi, Behrang, Vahidi, Ardalan·2011·IEEE Transactions on Control Systems Technology

Abstract

This brief proposes the use of upcoming traffic signal information within the vehicle's adaptive cruise control system to reduce idle time at stop lights and fuel consumption. To achieve this goal an optimization-based control algorithm is formulated that uses short range radar and traffic signal information predictively to schedule an optimum velocity trajectory for the vehicle. The control objectives are: timely arrival at green light with minimal use of braking, maintaining safe distance between vehicles, and cruising at or near set speed. Three example simulation case studies are presented to demonstrate the potential impact on fuel economy, emission levels, and trip time.

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Metadata

Authors
Asadi, B., & Vahidi, A.
Venue
IEEE Transactions on Control Systems Technology
Published
2011-05
Volume
19
Issue
3
Pages
707-714
ISSN
  • 1063-6536 (ISSN-L)
  • 1558-0865
OpenAlex
W2157525649
Cited by
727
References
0
FWCI
26.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Predictive Cruise Control: Utilizing Upcoming Traffic Signal Information for Improving Fuel Economy and Reducing Trip Time. https://app.cochat.ai/papers/10.1109/tcst.2010.2047860
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Asadi, B., & Vahidi, A. (2011). Predictive Cruise Control: Utilizing Upcoming Traffic Signal Information for Improving Fuel Economy and Reducing Trip Time. IEEE Transactions on Control Systems Technology. https://doi.org/10.1109/tcst.2010.2047860

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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.