On-demand Robotic Fleet Routing in Capacitated Networks with Time-varying Transportation Demand
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00347055" target="_blank" >RIV/68407700:21230/21:00347055 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.5220/0010261009070915" target="_blank" >https://doi.org/10.5220/0010261009070915</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0010261009070915" target="_blank" >10.5220/0010261009070915</a>
Alternative languages
Result language
angličtina
Original language name
On-demand Robotic Fleet Routing in Capacitated Networks with Time-varying Transportation Demand
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
ISBN
978-989-758-484-8
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
907-915
Publisher name
SCITEPRESS – Science and Technology Publications, Lda
Place of publication
Lisboa
Event location
Vídeň
Event date
Feb 4, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000661455800101