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master's thesis
Origin-Destination Flow and Traffic Parameter Estimation Based on Cellular Network Data and Vehicle Movement Historical Records
Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences, 2021. urn:nbn:hr:119:515723
Mardešić, Nikola
University of Zagreb
Faculty of Transport and Traffic Sciences
Division of Intelligent Transport Systems and Logistics
Department of Intelligent Transport Systems

Institutional repository: Faculty of Transport and Traffic Sciences

Cite this document

Mardešić, N. (2021). Origin-Destination Flow and Traffic Parameter Estimation Based on Cellular Network Data and Vehicle Movement Historical Records (Master's thesis). Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:119:515723

Mardešić, Nikola. "Origin-Destination Flow and Traffic Parameter Estimation Based on Cellular Network Data and Vehicle Movement Historical Records." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:119:515723

Mardešić, Nikola. "Origin-Destination Flow and Traffic Parameter Estimation Based on Cellular Network Data and Vehicle Movement Historical Records." Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:119:515723

Mardešić, N. (2021). 'Origin-Destination Flow and Traffic Parameter Estimation Based on Cellular Network Data and Vehicle Movement Historical Records', Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, accessed 31 July 2024, https://urn.nsk.hr/urn:nbn:hr:119:515723

Mardešić N. Origin-Destination Flow and Traffic Parameter Estimation Based on Cellular Network Data and Vehicle Movement Historical Records [Master's thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2021 [cited 2024 July 31] Available at: https://urn.nsk.hr/urn:nbn:hr:119:515723

N. Mardešić, "Origin-Destination Flow and Traffic Parameter Estimation Based on Cellular Network Data and Vehicle Movement Historical Records", Master's thesis, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:119:515723

Metadata
TitleOrigin-Destination Flow and Traffic Parameter Estimation Based on Cellular Network Data and Vehicle Movement Historical Records
Title (croatian)Određivanje izvorišno-odredišnih protoka vozila te prometnih parametara zasnovano na podatcima celularne mreže i povijesnih zapisa kretanja vozila
AuthorNikola Mardešić
MentorTonči Carić (mentor)
MentorLeo Tišljarić (komentor)
Committee memberEdouard Ivanjko (predsjednik povjerenstva)
Committee memberPero Škorput (član povjerenstva)
Committee memberMiroslav Vujić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Transport and Traffic Sciences
(Division of Intelligent Transport Systems and Logistics)
(Department of Intelligent Transport Systems)
Zagreb
Defense date and country2021-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Intelligent Transport Systems and Logistics
Abstract
With suitable algorithms, it is possible to ascertain a certain spatiotemporal logic for a given area by combining cellular and vehicular data. This thesis proposes a set of methods that aim to estimate trajectories of sparse cellular data by reconstructing a road network using the Floating Car Data (FCD). Thenceforth, generating a pool of alternative paths of the reconstructed network with a shortest-path algorithm and conclusively computing an algorithm that allocates the user an alternative route with the highest spatial and temporal similarity to the observed ground-truth origin-destination pair (user) trajectory. With the data on the user trajectories used through a transportation network, this thesis aims to develop a model which calculates the networks traffic flow estimates.
Abstract (croatian)
Pomoću prikladnih algoritama, moguće je utvrditi određenu prostorno-vremensku zakonitost prometnog toka obuhvaćenog područja kombiniranjem podataka o celularnoj mreži i povijesnih zapisa kretanja vozila. U ovom se radu predlaže skup metoda kojima je cilj procijeniti putanje kretanja korisnika celularne mreže rekonstrukcijom cestovne mreže pomoću plutajućih podataka o vozilu (FCD). Nadalje, nad rekonstruiranom cestovnom mrežom se izvršava algoritam najkraćeg puta te se generira n alternativnih trajektorija. Konačni korak procjene trajektorije predstavlja izvršavanje algoritma koji korisniku dodjeljuje alternativni put s najvećom prostornom i vremenskom sličnošću s promatranim parom ishodišno-odredišne putanje korisnika. Pomoću podataka o korisničkim putanjama korištenim kroz prometnu mrežu, ovaj rad teži razviti model koji izračunava procjene protoka prometa na mreži.
Keywords
Keywords (croatian)
Languageenglish
URN:NBNurn:nbn:hr:119:515723
Study programmeTitle: Intelligent Transport Systems and Logistics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka prometa (magistar/magistra inženjer/inženjerka prometa)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-10-25 15:07:25