Multi-agent dynamic routing of a fleet of cybercars


Reference:
R. Luo, T.J.J. van den Boom, and B. De Schutter, "Multi-agent dynamic routing of a fleet of cybercars," IEEE Transactions on Intelligent Transportation Systems, vol. 19, pp. 1340-1352, May 2018.

Abstract:
Due to the lack of efficient control methods for a fleet of vehicles throughout a road network, the large-scale application of cybercars, which are fully automatic road vehicles providing on-demand and door-to-door transportation service, is still hindered. Although the fleet control problem for cybercars can be straightforwardly addressed in a centralized control setting, for reasons of scalability and fast computation, a centralized control method will not be tractable for the large-scale use of cybercars in the future. In this paper, we focus on the dynamic routing of a fleet of cybercars considering minimization of the combined system cost including the total time spent and the total energy consumption by all cybercars. We first propose a model of the dynamics and the energy consumption of a fleet of cybercars based on a description of the dynamics of every single cybercar and the states of the road network. After that, we propose several tractable and scalable multi-agent control methods including multi-agent model predictive control and parameterized control for the dynamic routing of cybercars. Finally, experiments by means of numerical simulations illustrate the performance of the proposed control methods.


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Bibtex entry:

@article{Luovan:17-010,
        author={R. Luo and T.J.J. van den Boom and B. {D}e Schutter},
        title={Multi-agent dynamic routing of a fleet of cybercars},
        journal={IEEE Transactions on Intelligent Transportation Systems},
        volume={19},
        pages={1340--1352},
        month=may,
        year={2018},
        doi={10.1109/TITS.2017.2710480}
        }



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