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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    Title :

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


    Additional title:

    Smart Innovation, Systems and Technologies


    Contributors:
    Qu, Xiaobo (editor) / Zhen, Lu (editor) / Howlett, Robert J. (editor) / Jain, Lakhmi C. (editor) / Kong, Xiangyu (author) / Wu, Jiaming (author) / Qu, Xiaobo (author)


    Publication date :

    2021-06-06


    Size :

    7 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English