Modelling of daily traffic volumes on urban roads
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F16%3A00303830" target="_blank" >RIV/68407700:21260/16:00303830 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Modelling of daily traffic volumes on urban roads
Original language description
The traffic volume is frequently used as a measure of road capacity. For many types of roads significant changes in traffic intensity occur within 24 hours a day. If the traffic volumes are measured during the day at hourly intervals, usually happens that the course of traffic volumes during the day has two maxima – morning peak hour and another peak hour in the afternoon. The authors of the article deal with modeling of the course of daily traffic volume using known probability distribution, while the authors use data obtained from real measurements of traffic volumes on the various categories of roads. In the paper the authors proposed procedure that can be applied to determine the resulting daily traffic volumes from short-term measurements of traffic volumes. Proposed procedure is suitable for urban planning, construction and upgrading of roadways or land-use planning decisions, while it is necessary to plan the construction of road infrastructure on the basis of prognosis of road traffic.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JO - Land transport systems and equipment
OECD FORD branch
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Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON TRAFFIC AND TRANSPORT ENGINEERING
ISBN
978-86-916153-3-8
ISSN
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e-ISSN
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Number of pages
1174
Pages from-to
1-1174
Publisher name
City Net Scientific Research Center Ltd. Belgrade
Place of publication
Belgrade
Event location
Belgrade
Event date
Nov 24, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000391016300128