A Traffic Simulation Tool for Data Mining Analysis: A traffic simulation model to generate synthetic and realistic traffic datasets for traffic flow forecasting - Couverture souple

López Gómez, Julio Alberto; Vila Miranda, Amparo; García R., Ricardo

 
9783639865431: A Traffic Simulation Tool for Data Mining Analysis: A traffic simulation model to generate synthetic and realistic traffic datasets for traffic flow forecasting
Couverture souple
ISBN 10 : 363986543X ISBN 13 : 9783639865431
Editeur : Editorial Académica Española, 2017

Synopsis

Nowadays, despite technological advances, traffic continues to be a major worry, not only for governments and political authorities but also to the citizens who see in their daily life the large traffic impact on their routine. In order to prevent all these consequences, historical data provided by CCTV cameras and other devices which allow currently store traffic data, like mobile phones with accelerometers or cars with intelligent sensors, are analysed using data mining and machine learning techniques in order to detect black points in roads, predict traffic flows, speeds etc. However, these data is very difficult to obtain, due to their cost and their sensibility. For that reason, this work addresses the problematic of obtaining realistic traffic data, which is solved through the building of a traffic simulation tool, which generates traffic data in a realistic way, taking into account traffic dynamics and its uncertainty. Finally, the present work addresses a short-term traffic flow forecasting problem in different traffic networks which is solved through different artificial intelligence techniques, like time series, neural networks and regression.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Nowadays, despite technological advances, traffic continues to be a major worry, not only for governments and political authorities but also to the citizens who see in their daily life the large traffic impact on their routine. In order to prevent all these consequences, historical data provided by CCTV cameras and other devices which allow currently store traffic data, like mobile phones with accelerometers or cars with intelligent sensors, are analysed using data mining and machine learning techniques in order to detect black points in roads, predict traffic flows, speeds etc. However, these data is very difficult to obtain, due to their cost and their sensibility. For that reason, this work addresses the problematic of obtaining realistic traffic data, which is solved through the building of a traffic simulation tool, which generates traffic data in a realistic way, taking into account traffic dynamics and its uncertainty. Finally, the present work addresses a short-term traffic flow forecasting problem in different traffic networks which is solved through different artificial intelligence techniques, like time series, neural networks and regression.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Editorial Académica Española
Date d'édition
2017
Langue
anglais
ISBN 10 
363986543X
ISBN 13 
9783639865431
Reliure
Broché
Nombre de pages
184
Coordonnées du fabricant
non disponible
Personne responsable
non disponible