In earlier work, we established a decentralized optimal control framework for coordinating online connected and automated vehicles (CAVs) in specific transportation segments, e.g., urban intersections, merging roadways, roundabouts, and speed reduction zones. In this paper, we address coordination of CAVs in a corridor with multiple such scenarios and derive a closed-form analytical solution that includes interior boundary conditions. We evaluate the effectiveness of the solution through simulation in VISSIM. The proposed approach reduces significantly both fuel consumption and travel time for the CAVs compared to the baseline scenario where traditional human-driven vehicles without control are considered.


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    Title :

    Decentralized Optimal Control of Connected and Automated Vehicles in a Corridor


    Contributors:


    Publication date :

    2018-11-01


    Size :

    1717851 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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