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Traffic Data Collection and its Standardization

Part of the International Series in Operations Research & Management Science Book Series (volume 144)

Editors: Barceló, Jaume; Kuwahara, Masao

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

ISBN: 978-1-4419-6069-6

Publisher: Springer New York - Springer Journals

Apr 27, 2010

1 - 10 of 12 Chapters

LitStream

Chapter 1Traffic Data Collection and Its Standardization

Barceló, Jaume; Kuwahara, Masao; Miska, Marc

Pages: 1 –10

[Traffic engineers are involved in transport modeling, traffic simulation, operation optimization, and the development of methods to control and analyze traffic itself. New developments of individual traffic, public transport as well as pedestrian movements are the hope to ensure mobility and...
LitStream

Chapter 2Data Collection, Use and Provision at the Transport Data Centre, New South Wales, Australia

Hidas, Peter

Pages: 11 –24

[The Transport Data Centre (TDC) within the New South Wales Ministry of Transport is the premier source of transport data for NSW. TDC’s role is to assist those involved in transport and land use planning to make informed decisions by collecting, analysing, processing, and providing reliable and...
LitStream

Chapter 3Data Collection for Measuring Performance of Integrated Transportation Systems

Zhang, Wei-Bin; Skabardonis, Alex; Li, Meng; Li, Jingquan; Zhou, Kun; Zhang, Liping

Pages: 25 –45

[More than ever, traffic congestion is plaguing our heavily populated metropolitan areas. Transportation professionals have recognized that we cannot build our way out of this ever-increasing congestion. The challenge over the next decade is to get more out of the existing transportation system...
LitStream

Chapter 4International Traffic Database: Gathering Traffic Data Fast and Intuitive

Miska, Marc; Warita, Hiroshi; Torday, Alexandre; Kuwahara, Masao

Pages: 47 –56

[Gathering real life data, for whatever type of use, is a time consuming job. A lot of data is measured and stored in several places and different formats around the world. While a lot of it is not used, other institutions gather similar data on different locations or, worse, on the same ones. In...
LitStream

Chapter 5Data Mining for Traffic Flow Analysis: Visualization Approach

Kusakabe, Takahiko; Iryo, Takamasa; Asakura, Yasuo

Pages: 57 –72

[Data mining has attracted considerable attention as a method that can be used to discover certain characteristics from large amounts of data. In traffic flow analysis, a large amount of traffic flow data is continuously collected and stored over several years.]
LitStream

Chapter 6The Influence of Spatial Factors on the Commuting Trip Distribution in the Netherlands

Thomas, Tom; Tutert, Bas

Pages: 73 –87

[Traffic flows are the result of movements of people and goods. They are modeled with the help of behavioral patterns that are supposed to remain relatively constant over time. In traditional transport modeling, some of these patterns are described by trip distribution functions, which represent...
LitStream

Chapter 7Dynamic Origin–Destination Matrix Estimation Using Probe Vehicle Data as A Priori Information

Ásmundsdóttir, Rúna; Chen, Yusen; van Zuylen, Henk J.

Pages: 89 –108

[For most Origin–Destination (OD) matrix estimation methods, a priori information in the form of a matrix (so-called a priori matrix) is necessary as an initial guess. In the estimation process, this matrix is updated with traffic counts until a final estimated matrix has been found. The more...
LitStream

Chapter 8Using Probe Vehicle Data for Traffic State Estimation in Signalized Urban Networks

van Zuylen, Henk J.; Zheng, Fangfang; Chen, Yusen

Pages: 109 –127

[Probe Vehicle Data (PVD) is becoming more and more common for the collection of information about the traffic state. In most cases, the information that can be obtained from a probe vehicle refers to the position, the speed and the direction of movement at certain time intervals. Especially in...
LitStream

Chapter 9Floating Car Data Based Analysis of Urban Travel Times for the Provision of Traffic Quality

Ehmke, Jan Fabian; Meisel, Stephan; Mattfeld, Dirk Christian

Pages: 129 –149

[The management of urban traffic systems demands information for the real-time control of traffic flows as well as for strategic traffic management. In this context, state-of-the-art traffic information systems are mainly used to control varying traffic flows and to provide collective and...
LitStream

Chapter 10A Cost-Effective Method for the Detection of Queue Lengths at Traffic Lights

Neumann, Thorsten

Pages: 151 –160

[Limited road capacities and an increasing traffic volume are, or will become a serious problem for urban mobility in many regions of the world such as Europe, China, Japan, or the USA. To ensure an acceptable level of traffic quality, local authorities need reliable traffic state information...

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