The subject of the study was to determine the reliable characteristics of the traffic flow variability for the purpose of estimating the annual average daily traffic, including the year of the forecast. In order to achieve this objective, there was performed traffic volume data analysis between 2000–2010. These studies helped to identify traffic flow variability at different periods of time, its determinants, as well as their impact on traffic flow characteristics which are relevant for estimating the AADT.The research presented: division of the road networks into uniforms traffic sections (cluster analysis, functional/geographic classification); representative traffic volume profiles (by definition); model relationships between time–related characteristics of traffic volume variability and AADT (regression analysis, artificial neural network); model intended to complete missing traffic data (SARIMA). Conclusions from the conducted research create theoretical and empirical basis to enhance the quality and reliability of determining AADT and, consequently, the quality of road solutions.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The subject of the study was to determine the reliable characteristics of the traffic flow variability for the purpose of estimating the annual average daily traffic, including the year of the forecast. In order to achieve this objective, there was performed traffic volume data analysis between 2000-2010. These studies helped to identify traffic flow variability at different periods of time, its determinants, as well as their impact on traffic flow characteristics which are relevant for estimating the AADT.The research presented: division of the road networks into uniforms traffic sections (cluster analysis, functional/geographic classification); representative traffic volume profiles (by definition); model relationships between time-related characteristics of traffic volume variability and AADT (regression analysis, artificial neural network); model intended to complete missing traffic data (SARIMA). Conclusions from the conducted research create theoretical and empirical basis to enhance the quality and reliability of determining AADT and, consequently, the quality of road solutions. 56 pp. Englisch. N° de réf. du vendeur 9783659810237
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The subject of the study was to determine the reliable characteristics of the traffic flow variability for the purpose of estimating the annual average daily traffic, including the year of the forecast. In order to achieve this objective, there was performed traffic volume data analysis between 2000-2010. These studies helped to identify traffic flow variability at different periods of time, its determinants, as well as their impact on traffic flow characteristics which are relevant for estimating the AADT.The research presented: division of the road networks into uniforms traffic sections (cluster analysis, functional/geographic classification); representative traffic volume profiles (by definition); model relationships between time-related characteristics of traffic volume variability and AADT (regression analysis, artificial neural network); model intended to complete missing traffic data (SARIMA). Conclusions from the conducted research create theoretical and empirical basis to enhance the quality and reliability of determining AADT and, consequently, the quality of road solutions. N° de réf. du vendeur 9783659810237
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Splawinska MalwinaMalwina Splawinska received her PhD degrees in Civil Engineering at the Cracow University of Technology (CUT), in 2014. Since 2004 she has been working in Department of Highway and Traffic Engineering at CUT in Crac. N° de réf. du vendeur 158429724
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The subject of the study was to determine the reliable characteristics of the traffic flow variability for the purpose of estimating the annual average daily traffic, including the year of the forecast. In order to achieve this objective, there was performed traffic volume data analysis between 2000-2010. These studies helped to identify traffic flow variability at different periods of time, its determinants, as well as their impact on traffic flow characteristics which are relevant for estimating the AADT.The research presented: division of the road networks into uniforms traffic sections (cluster analysis, functional/geographic classification); representative traffic volume profiles (by definition); model relationships between time-related characteristics of traffic volume variability and AADT (regression analysis, artificial neural network); model intended to complete missing traffic data (SARIMA). Conclusions from the conducted research create theoretical and empirical basis to enhance the quality and reliability of determining AADT and, consequently, the quality of road solutions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. N° de réf. du vendeur 9783659810237
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Characteristics of traffic flow variability and their impact on AADT | Malwina Sp¿awi¿ska | Taschenbuch | 56 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659810237 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 104048520
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