Title
Algoritam za određivanje tipa i pozicije biciklističkih površina u okviru profila postojećih gradskih saobraćajnica
Creator
Kocić, Dušan,
CONOR:
94890249
Copyright date
2026
Object Links
Select license
Autorstvo-Nekomercijalno-Bez prerade 3.0 Srbija (CC BY-NC-ND 3.0)
License description
Dozvoljavate samo preuzimanje i distribuciju dela, ako/dok se pravilno naznačava ime autora, bez ikakvih promena dela i bez prava komercijalnog korišćenja dela. Ova licenca je najstroža CC licenca. Osnovni opis Licence: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/deed.sr_LATN. Sadržaj ugovora u celini: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/legalcode.sr-Latn
Language
Serbian
Cobiss-ID
Theses Type
Doktorska disertacija
description
Datum odbrane: 12.06.2026.
Other responsibilities
Academic Expertise
Tehničko-tehnološke nauke
University
Univerzitet u Nišu
Faculty
Građevinsko-arhitektonski fakultet
Group
Katedra za saobraćajnice
Alternative title
Algorithm for determining the type and position of bicycle surfaces within the profile of existing city roads
Publisher
[D. D. Kocić]
Format
[10], 242 str.
description
Biografija autora: list 239.
Bibliografija: list. 166-170.
description
Roads
Abstract (en)
The improvement of sustainable mobility in urban areas implies the
reduction of motorized traffic and the development of infrastructure that
supports alternative modes of transport, such as cycling. The incorporation
of cycling infrastructure within already developed urban areas plays a key
role in promoting cycling as a sustainable mode of transport. However, the
existing urban environment requires careful and systematic analysis of
current infrastructure, as well as an assessment of the possibilities for
positioning cycling facilities.
Within this dissertation, an algorithm was developed for determining
the optimal position and type of cycling surface within the existing crosssection
of an urban street. The algorithm consists of several phases,
including data collection, classification, and analysis of geometric and
traffic characteristics of urban streets. The algorithm was tested on 21
streets in the city of Niš, including access, collector, and arterial roads.
Data on geometric and traffic elements of the analyzed streets were
obtained from the Urban Planning Institute of the City of Niš.
The analysis of results showed that the algorithm performed
efficiently and proposed a type and position of cycling surface for 18
streets, while 3 streets did not meet the required criteria. The algorithm
also demonstrated that most of the analyzed streets, despite spatial
limitations, have potential for the integration of cycling traffic. The
application of the algorithm enabled systematic and objective decisionmaking
and solution development in the planning of new or reconstruction
of existing urban streets.
Authors Key words
biciklistička infrastruktura, algoritam, gradske saobraćajnice, urbano
planiranje, održivost,projektovanje, mobilnost
Authors Key words
cycling infrastructure, algorithm, city roads, urban planning,
sustainability, design, mobility
Classification
625.711.4(043.3)
Subject
Т 220, Т 260, Т 280
Type
Tekst
Abstract (en)
The improvement of sustainable mobility in urban areas implies the
reduction of motorized traffic and the development of infrastructure that
supports alternative modes of transport, such as cycling. The incorporation
of cycling infrastructure within already developed urban areas plays a key
role in promoting cycling as a sustainable mode of transport. However, the
existing urban environment requires careful and systematic analysis of
current infrastructure, as well as an assessment of the possibilities for
positioning cycling facilities.
Within this dissertation, an algorithm was developed for determining
the optimal position and type of cycling surface within the existing crosssection
of an urban street. The algorithm consists of several phases,
including data collection, classification, and analysis of geometric and
traffic characteristics of urban streets. The algorithm was tested on 21
streets in the city of Niš, including access, collector, and arterial roads.
Data on geometric and traffic elements of the analyzed streets were
obtained from the Urban Planning Institute of the City of Niš.
The analysis of results showed that the algorithm performed
efficiently and proposed a type and position of cycling surface for 18
streets, while 3 streets did not meet the required criteria. The algorithm
also demonstrated that most of the analyzed streets, despite spatial
limitations, have potential for the integration of cycling traffic. The
application of the algorithm enabled systematic and objective decisionmaking
and solution development in the planning of new or reconstruction
of existing urban streets.
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