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Title:Analiza vedenja pešcev v interakciji z avtonomnimi vozili : magistrsko delo
Authors:ID Rainer, Aleksija (Author)
ID Šraml, Matjaž (Mentor) More about this mentor... New window
ID Gruden, Chiara (Comentor)
Files:.pdf Magistrska_naloga_Rainer_Aleksija_2024.pdf (6,87 MB)
MD5: F1F19106C2AD3793FBEC897201D56FBE
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
Abstract:V magistrskem delu smo proučevali interakcije med pešci in avtonomnimi vozili (AV) ter stališča javnosti do sprejemanja avtonomnih vozil. S pomočjo spletne ankete smo analizirali mnenja 108 udeležencev glede varnosti, zanesljivosti in sprejemljivosti AV. Rezultati so pokazali previdnost in zadržanost pri sprejemanju te tehnologije, zlasti glede varnosti ranljivih udeležencev v prometu. Poleg ankete smo izvedli tudi eksperiment sledenja pogledu, kjer smo primerjali odzive pešcev pri prečkanju prehoda pred avtonomnim in navadnim vozilom (NV). Ugotovili smo, da pešci potrebujejo več časa za odločitev o prečkanju prehoda pred avtonomnim vozilom kot pred navadnim vozilom, kar kaže na povečano previdnost in negotovost. Te ugotovitve kažejo na potrebo po izboljšanju varnostnih sistemov in komunikacije med avtonomnimi vozili in pešci.
Keywords:pešci, avtonomna vozila, prometna varnost, eye-tracking, gap acceptance
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[A. Rainer]
Year of publishing:2024
Number of pages:1 spletni vir (1 datoteka PDF (X, 87 str.))
PID:20.500.12556/DKUM-90855 New window
UDC:656.142+629.014.9(043.2)
COBISS.SI-ID:217083907 New window
Publication date in DKUM:14.11.2024
Views:205
Downloads:65
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FG
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:30.09.2024

Secondary language

Language:English
Title:Analysis of pedestrian behaviour in interaction with autonomous vehicles
Abstract:In this master’s thesis, we examined the interactions between pedestrians and autonomous vehicles (AV), as well as public attitudes towards the adoption of autonomous vehicles. Using an online survey, we analyzed the opinions of 108 participants regarding the safety, reliability, and acceptance of AVs. The results showed caution and hesitation in the acceptance of this technology, especially concerning the safety of vulnerable road users. Additionally, we conducted an eye-tracking experiment to compare pedestrian responses when crossing in front of an AV and a regular vehicle (NV). We found that pedestrians take more time to decide to cross in front of an AV compared to an NV, indicating increased caution and uncertainty. These findings highlight the need to improve safety systems and communication with pedestrians.
Keywords:pedestrians, autonomous vehicles, road safety, eye-tracking, gap acceptance


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