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Smart Cities, Green Technologies, and Intelligent Transport Systems

Overview of attention for book
Cover of 'Smart Cities, Green Technologies, and Intelligent Transport Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Smart City Concepts: Chances and Risks of Energy Efficient Urban Development
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    Chapter 2 Smart Cities Concept and Challenges: Bases for the Assessment of Smart City Projects
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    Chapter 3 Constructing Human Smart Cities
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    Chapter 4 An Open Platform for Children’s Independent Mobility
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    Chapter 5 Architectures and Requirements for the Development of Smart Cities: A Literature Study
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    Chapter 6 People in Smart Buildings: Daily Practices in Automated Areas
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    Chapter 7 Introducing Flexibility into Data Centers for Smart Cities
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    Chapter 8 Automatic Validation for Crowd Simulation: Test Suite for a Pedestrian Simulator Based on Different Scenarios
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    Chapter 9 Smart Cities, Green Technologies, and Intelligent Transport Systems
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    Chapter 10 Voltage Control in Low Voltage Grids with Distributed Energy Resources: A Droop-Based Approach
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    Chapter 11 A Sensitivity Based Approach for Efficient PMU Deployment on Smart Grid
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    Chapter 12 Using Flexibility Information for Planning the Energy Demand of Households
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    Chapter 13 Laser Scanner and Camera Fusion for Automatic Obstacle Classification in ADAS Application
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    Chapter 14 Vehicle Routing to Minimizing Hybrid Fleet Fuel Consumption
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    Chapter 15 Service Oriented Big Data Management for Transport
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    Chapter 16 An Integrated Architecture for Simulation and Modeling of Small- and Medium-Sized Transportation and Communication Networks
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    Chapter 17 Privacy Endangerment from Protocol Data Sets in VANETs and Countermeasures
Overall attention for this book and its chapters
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Citations

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Title
Smart Cities, Green Technologies, and Intelligent Transport Systems
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-27753-0
ISBNs
978-3-31-927752-3, 978-3-31-927753-0
Editors

Markus Helfert, Karl-Heinz Krempels, Cornel Klein, Brian Donnellan, Oleg Gusikhin

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 1%
Canada 1 1%
Brazil 1 1%
Unknown 80 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 17%
Student > Ph. D. Student 8 10%
Student > Bachelor 5 6%
Researcher 4 5%
Student > Doctoral Student 3 4%
Other 8 10%
Unknown 41 49%
Readers by discipline Count As %
Engineering 12 14%
Computer Science 11 13%
Business, Management and Accounting 5 6%
Social Sciences 4 5%
Arts and Humanities 2 2%
Other 8 10%
Unknown 41 49%