Optimizing longitudinal control model parameters of connected and automated vehicles using empirical trajectory data of human drivers in risky car-following scenarios
Author:
Publisher
Springer Science and Business Media LLC
Subject
Metals and Alloys,General Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11771-023-5413-6.pdf
Reference36 articles.
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3. OROSZ G. Connected automated vehicle design among human-driven vehicles [J]. IFAC - Papers Online, 2019, 51(34): 403–406. DOI: https://doi.org/10.1016/j.trc.2018.04.005.
4. GUO Hong-yan, LIU Jun, DAI Qi-kun, et al. A distributed adaptive triple-step nonlinear control for a connected automated vehicle platoon with dynamic uncertainty [J]. IEEE Internet of Things Journal, 2020, 7(5): 3861–3871. DOI: https://doi.org/10.1109/JIOT.2020.2973977.
5. LI Ye, CHEN Zhi-bin, YIN Ya-feng, et al. Deployment of roadside units to overcome connectivity gap in transportation networks with mixed traffic [J]. Transportation Research Part C: Emerging Technologies, 2020, 111: 496–512. DOI: https://doi.org/10.1016/j.trc.2020.01.001.
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