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DKUM
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Title:
Vpliv socioekonomskih podatkov na prognoze cestnoprometnih tokov
Authors:
ID
Smirić, Anja
(
Author
)
ID
Lep, Marjan
(
Mentor
)
More about this mentor...
ID
Mesarec, Beno
(
Comentor
)
Files:
MAG_Smiric_Anja_2018.pdf
(2,85 MB)
MD5: 72595A4E626D81976523F30B6DAA2EDA
PID:
20.500.12556/dkum/ac458964-1d36-4d1b-8273-0b7468906e41
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 so predstavljene teoretične osnove planiranja prometa. Eden izmed korakov v procesu planiranja prometa je prometna raziskava. Osnovni pristop k prometni raziskavi je prometni model. S prometnim modelom lahko napovemo stanje cestnoprometnih tokov v prihodnosti. Namen magistrske naloge je bil ugotoviti, ali je metoda faktorjev rasti primerna za napovedovanje cestnoprometnih tokov ter kakšen vpliv imajo socioekonomski podatki na napovedovanje le-teh.
Keywords:
planiranje prometa
,
prometna raziskava
,
prometni model
,
napovedovanje
Place of publishing:
Maribor
Publisher:
[A. Smirić]
Year of publishing:
2018
PID:
20.500.12556/DKUM-72374
UDC:
005.521:656.021(043.2)
COBISS.SI-ID:
22198294
NUK URN:
URN:SI:UM:DK:RRNQD2U5
Publication date in DKUM:
24.10.2018
Views:
1240
Downloads:
159
Metadata:
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:
21.09.2018
Secondary language
Language:
English
Title:
Impact of socioeconomic data on forecasts of road traffic flows
Abstract:
The master’s thesis presents the theoretical basis of transportation planning. One of the steps in transportation planning process is transportation research. The basic approach to transportation research is the transportation model. Using the transportation model, we can predict the state of road traffic flows in the future. The purpose of the master's thesis was to determine whether the method of growth factors is suitable for forecasting road traffic flows and to determine the impact of socio-economic data on the forecasting.
Keywords:
transportation planning
,
transportation research
,
transportation model
,
forecasting
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