STOPKA, Ondrej and Mária STOPKOVÁ. The planning process of transport tasks for autonomous vans. Open Engineering. Warsaw, Poland: DE GRUYTER Poland, Bogumiła Zuga 32A Str. 01-811 Warsaw, Poland, 2021, vol. 11, No 1, p. 871-879. ISSN 2391-5439.
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Basic information
Original name The planning process of transport tasks for autonomous vans
Authors STOPKA, Ondrej (703 Slovakia, guarantor, belonging to the institution) and Mária STOPKOVÁ (703 Slovakia, belonging to the institution).
Edition Open Engineering, Warsaw, Poland, DE GRUYTER Poland, Bogumiła Zuga 32A Str. 01-811 Warsaw, Poland, 2021, 2391-5439.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 50703 Transport planning and social aspects of transport
Country of publisher Poland
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/75081431:_____/21:00002281
Organization unit Institute of Technology and Business in České Budějovice
Keywords in English autonomous vehicles; transport planning; probabilistic evaluation; vehicle routing problem
Tags N_TCL, RIV21, SCOPUS
Links LTC19009, research and development project.
Changed by Changed by: Mgr. Nikola Petříková, učo 28324. Changed: 4/4/2022 07:58.
Abstract
Recently, we have seen an increase in interest in autonomous mobility around the world. Autonomous vehicles have enormous potential, and the development of radar, information, communication, and measurement technologies brings us closer and closer to this type of mobility. This article considers the principles of planning and selecting routes for transport tasks. The research on the values of indicators characterizing the transport process was carried out for a simple case, when vehicles move along a fixed route without disturbances. The research used mathematical modelling based on the theory of Markov random systems to determine the capacity of the system, the average length of the queue for service, and the average number of transport tasks. The simulations were carried out for the assumed number of vehiclesm= 15 and for points requiring service N = 40. The ranges were obtained wherein the number of occupied vehicles oscillated around 30% (for ρ = 0.1), when all the vehicles were occupied (for ρ = 0.625), and when the system became inefficient.
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