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Connected cruise control among human-driven vehicles: Experiment-based parameter estimation and optimal control design

Ge, Jin I. and Orosz, Gábor (2018) Connected cruise control among human-driven vehicles: Experiment-based parameter estimation and optimal control design. Transportation Research Part C: Emerging Technologies, 95 . pp. 445-459. ISSN 0968-090X. http://resolver.caltech.edu/CaltechAUTHORS:20180808-104915000

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Abstract

In this paper, we consider connected cruise control design in mixed traffic flow where most vehicles are human-driven. We first propose a sweeping least square method to estimate in real time feedback gains and driver reaction time of human-driven vehicles around the connected automated vehicle. Then we propose an optimal connected cruise controller based on the mean dynamics of human driving behavior. We test the performance of both the estimation algorithm and the connected cruise control algorithm using experimental data. We demonstrate that by combining the proposed estimation algorithm and the optimal controller, the connected automated vehicle has significantly improved performance compared to a human-driven vehicle.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.trc.2018.07.021DOIArticle
Additional Information:© 2018 Elsevier Ltd. Received 10 August 2017, Revised 23 July 2018, Accepted 23 July 2018, Available online 8 August 2018.
Subject Keywords:Connected automated vehicle; Human driving behavior; Sweeping least square method; Optimal control
Record Number:CaltechAUTHORS:20180808-104915000
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20180808-104915000
Official Citation:Jin I. Ge, Gábor Orosz, Connected cruise control among human-driven vehicles: Experiment-based parameter estimation and optimal control design, Transportation Research Part C: Emerging Technologies, Volume 95, 2018, Pages 445-459, ISSN 0968-090X, https://doi.org/10.1016/j.trc.2018.07.021. (http://www.sciencedirect.com/science/article/pii/S0968090X18307113)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:88659
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:08 Aug 2018 21:29
Last Modified:08 Aug 2018 21:29

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