Determination of Traffic Patterns on urban roads
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F17%3A00001184" target="_blank" >RIV/75081431:_____/17:00001184 - 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
Determination of Traffic Patterns on urban roads
Original language description
Traffic volume indicates the use and the capacity of road infrastructure. In traffic engineering the traffic volume is generally stated as so-called Annual Average Daily Traffic (AADT), which can be determined from short-time traffic survey according to the TP 189 methodology. The issue of AADT determination is in fact simplified on the urban roads where we can find types of traffic patterns different from those dealt with in the TP 189 methodology. The introductory part of the paper deals with the theory of determination of traffic volumes and theory of traffic flow. The aim of the article is to demonstrate traffic patterns on specific urban roads determined by the authors according to the idea that different types of traffic flows on urban roads within the different urban areas may be found. The paper deals with the issue of factors influencing the traffic flows within the city as well.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
50700 - Social and economic geography
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Communications
ISSN
1335-4205
e-ISSN
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Volume of the periodical
19
Issue of the periodical within the volume
2
Country of publishing house
SK - SLOVAKIA
Number of pages
6
Pages from-to
103-108
UT code for WoS article
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EID of the result in the Scopus database
2.0-85039412425