LIŽBETIN, Ján, Jan PEČMAN, Jiří HANZL and Ondrej STOPKA. MODELING THE INTELLIGENT TRANSPORT SYSTEMS ELEMENTS FUNCTIONALITY TESTING PLAN: A CASE STUDY. Communications - Scientific Letters of the University of Žilina. Žilina, Slovakia: Žilinská univerzita v Žiline, 2022, vol. 24, No 4, p. 97-108. ISSN 1335-4205.
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Basic information
Original name MODELING THE INTELLIGENT TRANSPORT SYSTEMS ELEMENTS FUNCTIONALITY TESTING PLAN: A CASE STUDY
Authors LIŽBETIN, Ján (703 Slovakia, guarantor, belonging to the institution), Jan PEČMAN (203 Czech Republic, belonging to the institution), Jiří HANZL (203 Czech Republic, belonging to the institution) and Ondrej STOPKA (703 Slovakia, belonging to the institution).
Edition Communications - Scientific Letters of the University of Žilina, Žilina, Slovakia, Žilinská univerzita v Žiline, 2022, 1335-4205.
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 Slovakia
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/75081431:_____/22:00002549
Organization unit Institute of Technology and Business in České Budějovice
Keywords in English autonomous management; intelligent transport systems; planning; testing
Tags N_DOL, N_TCL, RIV23, SCOPUS, TNP_Z
Changed by Changed by: Barbora Kroupová, učo 25655. Changed: 27/4/2023 09:33.
Abstract
Autonomous control and the associated development of relevant intelligent control systems have become an issue of interest in the automotive sector decades ago. This article deals with the issue of subsystem validation planning. The theoretical part describes the issue, characterizes the current state of the researched issues in selected scientific publications and characterizes the data and methods with which the authors work. The practical part of the article analyzes a case study in the form of a model project, its structure, testing requirements and design of a test campaign plan. The output is a calculation and decision tree, which determines the optimal variant of the number of vehicles so that the validation is completed, while minimizing time and financial resources.
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