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Communication Technologies for Vehicles

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Cover of 'Communication Technologies for Vehicles'

Table of Contents

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    Book Overview
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    Chapter 1 Cellular Networking Technologies in ITS Solutions: Opportunities and Challenges
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    Chapter 2 Effective and Efficient Security Policy Engines for Automotive On-Board Networks
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    Chapter 3 Security Solutions for Highly Dynamic Car2X Networks in the KoFAS Initiative
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    Chapter 4 ICDMS: An Intelligent Cloud Based Disaster Management System for Vehicular Networks
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    Chapter 5 Wireless Driver and Vehicle Surveillance System Based on IEEE 802.11 Networks
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    Chapter 6 Architecture of Car Measurement System for Driver Monitoring
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    Chapter 7 Toward Revocation Data Handling Efficiency in VANETs
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    Chapter 8 Cluster Based Data Aggregation in Vehicular Adhoc Network
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    Chapter 9 Simulations of VANET Scenarios with OPNET and SUMO
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    Chapter 10 Human Participatory Sensing in Fixed Route Bus Information System
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    Chapter 11 Scheduling of Vehicles in Transportation Networks
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    Chapter 12 Design and Prototype of a Train-to-Wayside Communication Architecture
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    Chapter 13 Conceptual Architectural Design of Indian Railway Intelligent Transportation Systems
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    Chapter 14 Automatic Alert Generation from Train to the People at Unmanned Level Crossings Using Principles of IoT
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    Chapter 15 MOFETA: A Network Architecture Based on MObile FEmtocells to Enhance Cellular Connectivity on TrAins
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Communication Technologies for Vehicles
Published by
Springer Berlin Heidelberg, April 2012
DOI 10.1007/978-3-642-29667-3
978-3-64-229666-6, 978-3-64-229667-3

Vinel, Alexey, Mehmood, Rashid, Berbineau, Marion, Garcia, Cristina Rico, Huang, Chung-Ming, Chilamkurti, Naveen, Vinel, Alexey, Mehmood, Rashid, Berbineau, Marion, Garcia, Cristina Rico, Huang, Chung-Ming, Chilamkurti, Naveen

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Professor > Associate Professor 1 33%
Unspecified 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Computer Science 1 33%
Social Sciences 1 33%