Hierarchical control for Connected and Automated Vehicles: From safe vehicle navigation to network congestion alleviation
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School of Engineering |
Doctoral thesis (article-based)
| Defence date: 2024-09-23
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Degree programme
Language
en
Pages
54 + app. 56
Series
Aalto University publication series DOCTORAL THESES, 180/2024
Abstract
Connected and automated vehicles (CAVs) have the potential to revolutionize traffic optimization and significant research efforts are dedicated to ensuring these advancements enhance safety and reduce costs. The capabilities introduced by CAVs are unprecedented and are expected to play a crucial role in coordinating CAV trajectories, promoting cooperation, and improving overall urban network performance. Some new measures are needed, e.g. reducing the amount of exchanged data to simplify protection policies and reduce communication link overload. Despite advancements in computational power within CAVs, it is essential to ensure new algorithms can operate in real-time. This thesis proposes a novel hierarchical framework for managing urban traffic and delves into its foundational components addressing the above-mentioned issues. The focus is devoted to ensuring real-time collision avoidance, optimal time allocation and coordination at intersections, and congestion alleviation at network level. The findings aim to advance our understanding and implementation of CAV systems within urban environments for a safer, smoother, and more sustainable urban future.Description
Supervising professor
Roncoli, Claudio, Assoc. Prof., Aalto University, Department of Built Environment, FinlandOther note
Parts
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[Publication 1]: Vitale, Francesco; Roncoli, Claudio. Reference tracking optimization with obstacle avoidance via task prioritization for automated driving. IEEE Transactions on Intelligent Transportation Systems, 25, 2, 1200-1214, 2024.
Full text in Acris/Aaltodoc: https://urn.fi/URN:NBN:fi:aalto-202403202877DOI: 10.1109/TITS.2023.3312999 View at publisher
- [Publication 2]: Vitale, Francesco; Niroumand, Ramin; Roncoli, Claudio. Distributed signal-free intersection optimization via iterative time slots adjustment for connected and automated vehicles. IEEE Transactions on Intelligent Transportation Systems, Under review
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[Publication 3]: Vitale, Francesco; Roncoli, Claudio. Cooperative traffic dispersion through rerouting of connected and automated vehicles in urban networks. In Transportation Research Record, 03611981241248648, 2024.
DOI: 10.1177/03611981241248648 View at publisher