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Authors: Martin Schaefer ; Michal Čáp ; David Fiedler and Jiří Vokřínek

Affiliation: Artificial Intelligence Center, Computer Science Department, FEE, Czech Technical University in Prague, Czech Republic

Keyword(s): Multi-robot Systems, Fleet Routing, Coordination, Mobility-on-Demand System.

Abstract: In large-scale automated mobility-on-demand systems, the fleet manager is able to assign routes to individual automated vehicles in a way that minimizes formation of congestion. We formalize the problem of on-demand fleet routing in capacitated networks with time-varying demand. We demonstrate the limits of application of the steady-state flows approach in systems with time-varying demand and formulate a linear program to compute congestion-free routes for the vehicles in capacitated networks under time-varying demand. We evaluate the proposed approach in the simulation of a simplified, but characteristic illustrative example. The experiment reveals that the proposed routing approach can route 42% more traffic in congestion-free regime than the steady-state flow approach through the same network.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Schaefer, M.; Čáp, M.; Fiedler, D. and Vokřínek, J. (2021). On-demand Robotic Fleet Routing in Capacitated Networks with Time-varying Transportation Demand. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-484-8; ISSN 2184-433X, SciTePress, pages 907-915. DOI: 10.5220/0010261009070915

@conference{icaart21,
author={Martin Schaefer. and Michal Čáp. and David Fiedler. and Ji\v{r}í Vok\v{r}ínek.},
title={On-demand Robotic Fleet Routing in Capacitated Networks with Time-varying Transportation Demand},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2021},
pages={907-915},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010261009070915},
isbn={978-989-758-484-8},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - On-demand Robotic Fleet Routing in Capacitated Networks with Time-varying Transportation Demand
SN - 978-989-758-484-8
IS - 2184-433X
AU - Schaefer, M.
AU - Čáp, M.
AU - Fiedler, D.
AU - Vokřínek, J.
PY - 2021
SP - 907
EP - 915
DO - 10.5220/0010261009070915
PB - SciTePress

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