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Data and Mobility

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Cover of 'Data and Mobility'

Table of Contents

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    Book Overview
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    Chapter 1 A Multimedia-Centric Quality Assurance System for Traffic Messages
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    Chapter 2 Autonomous Multi-sensor Vehicle Classification for Traffic Monitoring
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    Chapter 3 Concepts for Modeling Drivers of Vehicles Using Control Theory
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    Chapter 4 COOPERS: Driver Acceptance Assessment of Cooperative Services
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    Chapter 5 Developments within the Scope of the German Test Site for Road Weather Stations
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    Chapter 6 Documentation of Flood Damage on Railway Infrastructure
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    Chapter 7 ETC-Based Traffic Telematics
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    Chapter 8 Extraction of Visual and Acoustic Features of the Driver for Monitoring Driver Ergonomics Applied to Extended Driver Assistance Systems
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    Chapter 9 How Motorcycle Collisions Depend on Weather
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    Chapter 10 Integrated Nowcasting System for the Central European Area: INCA-CE
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    Chapter 11 Intelligent Transport System Architecture Different Approaches and Future Trends
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    Chapter 12 Looking into Detection, Model Results and Message Quality
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    Chapter 13 Maintenance Decision Support System (MDSS) ASFINAG / Austria
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    Chapter 14 METIS
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    Chapter 15 Naturalistic Driving
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    Chapter 16 Re-thinking Urban Mobility Services and Operations
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    Chapter 17 Road Weather Information Service in Finland
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    Chapter 18 Using Vehicles as Mobile Weather Platforms
Attention for Chapter 18: Using Vehicles as Mobile Weather Platforms
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Citations

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Chapter title
Using Vehicles as Mobile Weather Platforms
Chapter number 18
Book title
Data and Mobility
Published by
Springer, Berlin, Heidelberg, January 2010
DOI 10.1007/978-3-642-15503-1_18
Book ISBNs
978-3-64-215502-4, 978-3-64-215503-1
Authors

Sheldon Drobot, Michael Chapman, Paul A. Pisano, Benjamin B. McKeever, Drobot, Sheldon, Chapman, Michael, Pisano, Paul A., McKeever, Benjamin B.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 50%
Lecturer 1 25%
Researcher 1 25%
Readers by discipline Count As %
Engineering 2 50%
Computer Science 1 25%
Unknown 1 25%