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Intelligent Transport Systems and Travel Behaviour

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Cover of 'Intelligent Transport Systems and Travel Behaviour'

Table of Contents

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    Book Overview
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    Chapter 1 Development of Various Scenarios of ITS Systems for Urban Area
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    Chapter 2 The Influence of Countdown Timers on the Traffic Safety of Pedestrians and Vehicles at the Signalized Intersection
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    Chapter 3 Air Transport Service in Academic Research at Polish Airports
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    Chapter 4 Underage Pedestrian Road Users in Terms of Road Accidents
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    Chapter 5 Regression Based Emission Models for Vehicle Contribution to Climate Change
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    Chapter 6 The Effect of University Campuses on the Modal Split of Polish Cities
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    Chapter 7 Distance and Frequency of Travels Made with Selected Means of Transport—A Case Study for the Upper Silesian Conurbation (Poland)
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    Chapter 8 Pedestrian Route Search Based on OpenStreetMap
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    Chapter 9 Road Pavement Condition as a Determinant of Travelling Comfort
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    Chapter 10 Risks Arising from Introducing Bicycle Traffic onto Designated Bus Lanes
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    Chapter 11 Support for Green Logistics Using the GTAlg Tool
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    Chapter 12 Application of the Genetic Algorithm for Optimization of the Public Transportation Lines
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    Chapter 13 Analysis of Significance of Differences Between Psychotechnical Parameters for Drivers at the Entries to One-Lane and Turbo Roundabouts in Poland
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    Chapter 14 Towards an Optimal Multimodal Travel Planner—Lessons from the European Experience
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    Chapter 15 A Hybrid Planning Method for Charging Infrastructure for Electrically Driven Buses in Public Transportation
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    Chapter 16 Location of Electric Buses Recharging Stations Using Point Method Procedure
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    Chapter 17 Testing Station-Related Railway Control Systems—Functional and Failure-Response Tests
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2 tweeters

Citations

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Readers on

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28 Mendeley
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Title
Intelligent Transport Systems and Travel Behaviour
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-43991-4
ISBNs
978-3-31-943990-7, 978-3-31-943991-4
Editors

Grzegorz Sierpiński

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 18%
Student > Doctoral Student 4 14%
Student > Master 4 14%
Student > Bachelor 3 11%
Researcher 3 11%
Other 4 14%
Unknown 5 18%
Readers by discipline Count As %
Engineering 12 43%
Environmental Science 4 14%
Social Sciences 2 7%
Sports and Recreations 1 4%
Earth and Planetary Sciences 1 4%
Other 4 14%
Unknown 4 14%