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undergraduate thesis
Prepoznavanje opasnih situacija u prometu primjenom sustava GeoPandas
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:049133
Knez, Mirna
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Knez, M. (2024). Prepoznavanje opasnih situacija u prometu primjenom sustava GeoPandas (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:049133

Knez, Mirna. "Prepoznavanje opasnih situacija u prometu primjenom sustava GeoPandas." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:049133

Knez, Mirna. "Prepoznavanje opasnih situacija u prometu primjenom sustava GeoPandas." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:049133

Knez, M. (2024). 'Prepoznavanje opasnih situacija u prometu primjenom sustava GeoPandas', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 February 2025, https://urn.nsk.hr/urn:nbn:hr:168:049133

Knez M. Prepoznavanje opasnih situacija u prometu primjenom sustava GeoPandas [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2025 February 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:049133

M. Knez, "Prepoznavanje opasnih situacija u prometu primjenom sustava GeoPandas", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:049133

Metadata
TitlePrepoznavanje opasnih situacija u prometu primjenom sustava GeoPandas
Title (english)Traffic Incident Alerting using GeoPandas Geospatial Framework
AuthorMirna Knez
MentorDejan Škvorc (mentor)
Committee memberDejan Škvorc (predsjednik povjerenstva)
Committee memberIvan Sabolić (član povjerenstva)
Committee memberStjepan Požgaj (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-09-02, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U današnjem svijetu, gdje su sigurnost i učinkovitost prometa od vitalne važnosti, razvoj sustava za prepoznavanje opasnih situacija predstavlja značajan korak naprijed. Cilj ovog rada implementacija je i ispitivanje sustava za prepoznavanje opasnih situacija u prometu koristeći sustav GeoPandas, alat za geoprostornu analizu unutar Python okruženja. Sustav omogućuje učitavanje, pretraživanje i obradu geoprostornih podataka te prepoznavanje potencijalno opasnih situacija, kao što je vožnja u suprotnom smjeru. Ispitivanje je provedeno na različitim skupovima podataka koji uključuju gradske i ruralne prometne mreže, kako bi se procijenila učinkovitost i skalabilnost sustava.
Abstract (english)
In today's world, where traffic safety and efficiency are of vital importance, the development of systems for recognizing dangerous situations represents a significant step forward. The aim of this paper is to implement and test a system for recognizing dangerous traffic situations using GeoPandas system, a tool for geospatial analysis within the Python environment. The system enables loading, searching, and processing of geospatial data as well as recognizing potentially dangerous situations such as driving in the wrong direction. Testing was conducted on different datasets that include urban and rural traffic networks to evaluate the system's efficiency and scalability.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:049133
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2024-10-12 21:04:15