INTELLIGENT DATA DEPENDENT MODELING OF TRAFFIC FLOW: Solving Problems in Traffic Flow Classification, Simulation, and Control - Couverture souple

Qiao, Fengxiang

 
9783838329062: INTELLIGENT DATA DEPENDENT MODELING OF TRAFFIC FLOW: Solving Problems in Traffic Flow Classification, Simulation, and Control
Couverture souple
ISBN 10 : 3838329066 ISBN 13 : 9783838329062
Editeur : LAP LAMBERT Academic Publishing, 2010

Synopsis

In this book, several intelligent data dependent (IDD) approaches are applied to relevant modeling problems in the classification, simulation, and control of traffic flow. The studies cover a wide range of traffic flow systems including the analyses of freeway mainline flow, freeway ramp metering system, roadway flow disperson between intersections, and flow simulations at signalized and unsignalized intersections. Most of the proposed approaches reflect recent and advanced technologies in relevant research fields (e.g. computer science, control engineering), which are intelligent and robust to the changing physical environments. The structures and parameters are determined based on surveyed or simulated data sets. Compared with the conventional physical approaches (or models), they are smarter and more widely suitable to the varying traffic conditions. The simulation studies and field data validations illustrate the satisfactory performances of these approaches. Promising applications in the management, control and auto- guidance of traffic flow within the Intelligent Transportation System (ITS) are expected.

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

Présentation de l'éditeur

In this book, several intelligent data dependent (IDD) approaches are applied to relevant modeling problems in the classification, simulation, and control of traffic flow. The studies cover a wide range of traffic flow systems including the analyses of freeway mainline flow, freeway ramp metering system, roadway flow disperson between intersections, and flow simulations at signalized and unsignalized intersections. Most of the proposed approaches reflect recent and advanced technologies in relevant research fields (e.g. computer science, control engineering), which are intelligent and robust to the changing physical environments. The structures and parameters are determined based on surveyed or simulated data sets. Compared with the conventional physical approaches (or models), they are smarter and more widely suitable to the varying traffic conditions. The simulation studies and field data validations illustrate the satisfactory performances of these approaches. Promising applications in the management, control and auto- guidance of traffic flow within the Intelligent Transportation System (ITS) are expected.

Biographie de l'auteur

Dr. Fengxiang Qiao obtained his Ph.D. in Civil Engineering majoring in Transportation from The Hong Kong University of Science and Technology in 2000. He is an expert in Artificial Intelligence and Intelligent Transportation System, and an Assistant Professor in the Department of Transportation Studies at Texas Southern University, USA.

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

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3838329066
ISBN 13 
9783838329062
Reliure
Broché
Nombre de pages
244
Coordonnées du fabricant
non disponible
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