The benefits of both homogeneous and heterogeneous platooning of automated vehicles have been reported by many studies. One commonality among such studies has been that platooning does provide a positive impact on traffic dynamics through increased average speeds, flow and capacity. Also due to platooning, fuel consumption is reduced and hence positively impacts the environment through reduced emissions. This is even more so when the percentage of automated vehicles is significantly higher than non-automated vehicles. While obvious that today's and near future highways will have automated and non-automated vehicles coexisting, research points towards homogeneity in order to fully realize the benefits of platooning. Research also indicates that when platooning allows maneuvers such as merging and splitting of platoons, these maneuvers present reduced benefits in traffic dynamics and consequently its impact on the environment. In light of these observations, this study presents a highway architecture that implements and controls lane and destination based fixed-routed platoons of automated vehicles with minimal lane changes. The study demonstrates that confining platoons to vehicles of same off-ramp destinations reduces the need for lane changes to a predetermined number, allows for more stable and longer strings of vehicle platoons of up to 24 vehicles per platoon. When compared to conventional traffic, the model presented shows between 135% and 156% increase in average speeds, 70% reduction in travel times and between 39% and 43.5% increase in highway throughput. The open-source traffic simulator, Simulation of Urban Mobility (SUMO) is used to simulate the model presented in this study.


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    Titel :

    Lane Based Platoon Control of Homogeneous Platoons


    Beteiligte:
    Mahama, Halid (Autor:in) / Chen, Yangzhou (Autor:in)


    Erscheinungsdatum :

    01.11.2019


    Format / Umfang :

    3506631 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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