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Erschienen in:
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2021 | OriginalPaper | Buchkapitel

An Online Processing Method for the Cooperative Control of Connected and Automated Vehicle Platoons

verfasst von : Xiangyu Kong, Jiaming Wu, Xiaobo Qu

Erschienen in: Smart Transportation Systems 2021

Verlag: Springer Singapore

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Abstract

The recent development of connected and autonomous vehicles (CAVs) makes it increasingly realistic to develop the next generation of transportation systems with the potential to improve operational performance and flexibility. The cooperative control of CAV platoons remains one of the most crucial yet challenging problems before the CAVs can be widely implemented in practice. The present study focuses on an application of CAVs at signalized intersections to realize a well-organized CAV permutation as well as improving the performance of the intersection. An online processing A* (OPA*) algorithm is developed to improve the optimality and computation performance. A comparative analysis between the proposed OPA* algorithm and an existing A* method is made. In summary, the OPA* could result in stable and scalable results which makes it possible for widely industrial usage.

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Vorheriges Kapitel Driving Style Recognition Incorporating Risk Surrogate by Support Vector Machine
Nächstes Kapitel Modeling Measurements Towards Effect of Past Behavior on Travel Behavior
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Metadaten
Titel
An Online Processing Method for the Cooperative Control of Connected and Automated Vehicle Platoons
verfasst von
Xiangyu Kong
Jiaming Wu
Xiaobo Qu
Copyright-Jahr
2021
Verlag
Springer Singapore
Buch
Smart Transportation Systems 2021

Print ISBN: 978-981-16-2323-3

Electronic ISBN: 978-981-16-2324-0

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-981-16-2324-0_14

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