Mikrosimulační model denních sekvencí aktivit
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F08%3A06152285" target="_blank" >RIV/68407700:21260/08:06152285 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A Microsimulation Model of Activity Patterns
Popis výsledku v původním jazyce
This work aims to propose an algorithm that belongs to the field of activity-based approaches to travel demand analysis. Its objective is to simulate individual's daily activity-travel patterns, and to incorporate the interactions among members of particular household. This model uses several tools to simulate the activity patterns. A lot of effort has been dedicated to cluster analysis of activity patterns. The methodology has been studied and an approach that suits this problem is suggested. Decisiontrees, particularly the CHAID algorithm, are used to take into account the personal and household characteristics. The individual's daily activity patterns that carry information about activity participation on a detailed temporal scale are the output ofthis model. These patterns respect individuals' constraints that are implicitly embedded. The model was evaluated using data from the Centre County, Pennsylvania that were collected during fall 2002 and spring 2003.
Název v anglickém jazyce
A Microsimulation Model of Activity Patterns
Popis výsledku anglicky
This work aims to propose an algorithm that belongs to the field of activity-based approaches to travel demand analysis. Its objective is to simulate individual's daily activity-travel patterns, and to incorporate the interactions among members of particular household. This model uses several tools to simulate the activity patterns. A lot of effort has been dedicated to cluster analysis of activity patterns. The methodology has been studied and an approach that suits this problem is suggested. Decisiontrees, particularly the CHAID algorithm, are used to take into account the personal and household characteristics. The individual's daily activity patterns that carry information about activity participation on a detailed temporal scale are the output ofthis model. These patterns respect individuals' constraints that are implicitly embedded. The model was evaluated using data from the Centre County, Pennsylvania that were collected during fall 2002 and spring 2003.
Klasifikace
Druh
B - Odborná kniha
CEP obor
AP - Městské, oblastní a dopravní plánování
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2008
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
ISBN
978-3-639-11122-4
Počet stran knihy
199
Název nakladatele
VDM Verlag Dr. Müller Aktiengesellschaft & Co. KG
Místo vydání
Saarbrücken
Kód UT WoS knihy
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