Traffic Data Collection and its Standardization

edited by Jaume Barceló, Masao Kuwahara

This book contains twelve selected papers presented at the International Workshop on Traffic Data Collection and its Standardization held on September 8-9th 2008 in Barcelona. Organized and chaired by Barcelo and Kuwahara, the workshop was intended to examine the purposes and quality of data and how it is collected and used in traffic analysis, with the overall intent of improving and standardizing the practice. Traffic data is the cornerstone to everything from the most classical traffic control analysis to the most advanced real-time control and management implementing modern Intelligent Transportation Systems (ITS) applications. These applications are primarily based on the availability of traffic data supplied by a Data Collection System which, equipped with more or less sophisticated technologies, provides measurements on the fundamental traffic variables, ideally with the required level of temporal aggregation, and perhaps, when the technology allows it, additional measurements on other variables of interest, depending on the type of application in which they will be used. The applications are in turn supported by models, and in fact the primary use of the data is to provide the input to traffic models whose quality depends on the quality, consistency, robustness, completion and other characteristics of the data.

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Year of publication:	2010
Authors:	Barceló, Jaume
Other Persons:	Kuwahara, Masao (contributor)
Publisher:	New York, NY : Springer Science+Business Media, LLC
Subject:	Datenerhebung \| Data collection \| Standardisierung \| Standardization \| Statistische Methode \| Statistical method
Description of contents:	Table of Contents [external.dandelon.com]

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Extent:	Online-Ressource v.: digital
Series:	International Series in Operations Research & Management Science ; 144
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index Chapter 1: Traffic Data Collection and Its Standardization; 1.1 Introduction; 1.2 Data Collection; 1.2.1 Data Sources and Measurement Stations; 1.2.2 Data Storage, Provision, and Needs; 1.3 Data Usage; 1.4 Data Standards; 1.5 Data Availability; 1.5.1 Data Storage and Usage; 1.5.2 Privacy Concerns; 1.5.3 Provision Costs; 1.5.4 Other Factors; 1.6 Final Thoughts; Chapter 2: Data Collection, Use and Provision at the Transport Data Centre, New South Wales, Australia; 2.1 Introduction; 2.2 TDC Datasets and Methodology; 2.2.1 Household Travel Survey (HTS); 2.2.2 Journey to Work (JTW) 2.2.3 Commercial Transport Study (CTS)2.2.3.1 Overview of the Estimation Procedure; 2.2.3.2 CTS Validation; 2.2.3.3 Scope of the CTS; 2.2.3.4 Recent Developments - The New Freight Movement Model; 2.2.4 Travel Zone Population and Employment Forecasts; 2.2.5 Strategic Travel Model (STM); 2.3 TDC Use of Traffic Count Data; 2.4 Issues Related to Data Access and Use; 2.5 Summary; References; Chapter 3: Data Collection for Measuring Performance of Integrated Transportation Systems*; 3.1 Introduction; 3.2 Data Needs for Multimodal Transportation Systems; 3.2.1 Data for Measuring Freeway Performance 3.2.2 Data for Measuring Performance of Arterial Highways3.2.3 Data for Measuring Performance of Transit Operations; 3.2.4 Data for Measuring Performance of Integrated Corridor Management; 3.3 California PATH Parsons Traffic and Transit Laboratory; 3.3.1 Data Collection; 3.3.2 Data Management; 3.3.3 Experimental Environment; 3.4 Role of Parsons T2 Lab in Supporting PATH Research; 3.4.1 Evaluation of TSP and Development of New TSP Approaches; 3.4.2 Developing Optimized Control for Urban Railway Crossings; 3.4.3 Development Red-Light-Running Collision Avoidance System; 3.5 Concluding Remarks ReferencesChapter 4: International Traffic Database: Gathering Traffic Data Fast and Intuitive; 4.1 Introduction; 4.2 Contributions to Traffic Engineering; 4.3 Overall System Design; 4.4 Metadata Search Engine; 4.5 Data Storage; 4.5.1 Data Stored in ITDb; 4.5.2 Data Stored in Third Party Locations; 4.6 Universal Data Translator; 4.7 User Front End; 4.8 Services and Tools; 4.9 Future Developments; References; Chapter 5: Data Mining for Traffic Flow Analysis: Visualization Approach; 5.1 Introduction; 5.2 Characteristics of Traffic Detector Data; 5.3 Process for Visualizing Traffic Detector Data 5.3.1 Color Mapping System for TCM5.3.2 Time-and-Day TCM; 5.3.3 Time-and-Value TCM; 5.3.4 Implementation of the Visualization System; 5.4 Empirical Analysis with Visualization; 5.4.1 Analysis of Data Taken on the Hansin Expressway; 5.4.1.1 Detection of Detector's Error; 5.4.1.2 Detection of Effect of Toll Gate Operation; 5.4.1.3 Detection of Traffic Capacity Reduction after Sunset; 5.4.2 Analysis of Data of Traffic on the Metropolitan Expressway; 5.5 Conclusions; References; Chapter 6: The Influence of Spatial Factors on the Commuting Trip Distribution in the Netherlands; 6.1 Introduction 6.2 Data Electronic reproduction; Available via World Wide Web
ISBN:	978-1-4419-6070-2 ; 978-1-4419-6069-6
Other identifiers:	10.1007/978-1-4419-6070-2 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

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