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Traffic Data Collection and its Standardization

Edited by Jaume Barceló () and Masao Kuwahara ()

in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier

Date: 2010
ISBN: 978-1-4419-6070-2
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Chapters in this book:

Ch Chapter 1 Traffic Data Collection and Its Standardization
Jaume Barceló, Masao Kuwahara and Marc Miska
Ch Chapter 10 A Cost-Effective Method for the Detection of Queue Lengths at Traffic Lights
Thorsten Neumann
Ch Chapter 11 Extended Floating Car Data in Co-operative Traffic Management
Thomas Scheider and Martin Böhm
Ch Chapter 12 Microscopic Data for Analyzing Driving Behavior at Traffic Signals
Francesco Viti, Serge P. Hoogendoorn, Henk J. Zuylen, Isabel R. Wilmink and Bart Arem
Ch Chapter 2 Data Collection, Use and Provision at the Transport Data Centre, New South Wales, Australia
Peter Hidas
Ch Chapter 3 Data Collection for Measuring Performance of Integrated Transportation Systems
Wei-Bin Zhang, Alex Skabardonis, Meng Li, Jingquan Li, Kun Zhou and Liping Zhang
Ch Chapter 4 International Traffic Database: Gathering Traffic Data Fast and Intuitive
Marc Miska, Hiroshi Warita, Alexandre Torday and Masao Kuwahara
Ch Chapter 5 Data Mining for Traffic Flow Analysis: Visualization Approach
Takahiko Kusakabe, Takamasa Iryo and Yasuo Asakura
Ch Chapter 6 The Influence of Spatial Factors on the Commuting Trip Distribution in the Netherlands
Tom Thomas and Bas Tutert
Ch Chapter 7 Dynamic Origin–Destination Matrix Estimation Using Probe Vehicle Data as A Priori Information
Rúna Ásmundsdóttir, Yusen Chen and Henk J. Zuylen
Ch Chapter 8 Using Probe Vehicle Data for Traffic State Estimation in Signalized Urban Networks
Henk J. Zuylen, Fangfang Zheng and Yusen Chen
Ch Chapter 9 Floating Car Data Based Analysis of Urban Travel Times for the Provision of Traffic Quality
Jan Fabian Ehmke, Stephan Meisel and Dirk Christian Mattfeld

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Persistent link: https://EconPapers.repec.org/RePEc:spr:isorms:978-1-4419-6070-2

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DOI: 10.1007/978-1-4419-6070-2

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