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Intelligent Transport Systems – From Research and Development to the Market Uptake

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Cover of 'Intelligent Transport Systems – From Research and Development to the Market Uptake'

Table of Contents

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    Book Overview
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    Chapter 1 Impact of Public Transport Priority on Traffic in Chosen Part of the City of Martin
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    Chapter 2 A Smart Application for University Bus Routes Optimization
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    Chapter 3 Car-Pooling Attractiveness Modeling in Greater Cairo Organizations – A Case Study
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    Chapter 4 Assessing Driving Behavior in Macau Public Transportation Through Mobile Crowd Sensing: A Study of the Macau Bus Passenger Profile
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    Chapter 5 Verification and Validation of Railway Control Systems Using an Expert System
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    Chapter 6 A Diagnostic Method for Axle Counting Systems Based on the SNMP Protocol
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    Chapter 7 Intelligent Wagon: A New Approach to Monitoring the Wagon’s Technical Conditions
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    Chapter 8 Using Passenger Personas to Design Technological Innovation for the Rail Industry
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    Chapter 9 Vehicles Recognition Based on Point Cloud Representation
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    Chapter 10 Study of Performance of the Vehicular Ad Hoc Networks in Dense Network Scenarios
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    Chapter 11 Using Deep Learning to Predict Short Term Traffic Flow: A Systematic Literature Review
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    Chapter 12 Microscopic Simulation of New Traffic Organisation in the City of Lučenec
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    Chapter 13 Health Monitoring Strategies for Multifunctional Vessels with Modular Mission-Oriented Architecture
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    Chapter 14 Numerical Simulation of the Hydrodynamic Ship Performance
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    Chapter 15 ITS Safety Ensuring Through Situational Management Methods
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    Chapter 16 Near-Miss Accidents – Classification and Automatic Detection
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    Chapter 17 Model Based Generation of Driving Scenarios
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    Chapter 18 Potential of Plenoptic Cameras in the Field of Automotive Safety
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    Chapter 19 Mathematical Model for Safety Score Calculation for Validation of Coach Operators in the UK
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    Chapter 20 A Safety Transport Model for Validation of UK Coach Operators for School Journeys
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    Chapter 21 Interactive (Intelligent) Integrated System for the Road Vehicles’ Diagnostics
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    Chapter 22 Evaluation of Traffic Control Systems as ITS Infrastructure for Automated Driving
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    Chapter 23 Automated Driver Scheduling for Vehicle Delivery
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    Chapter 24 802.11p: Insights from the MAC and Physical Layers for a Cooperate Car Following Application
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    Chapter 25 Adaptive Traffic Signal Coordinated Timing Decision for Adjacent Intersections with Chicken Game
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    Chapter 26 Detecting Change in the Urban Road Environment Along a Route Based on Traffic Sign and Crossroad Data
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    Chapter 27 Traffic Flow Estimation for Urban Roads Based on Crowdsourced Data and Machine Learning Principles
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    Chapter 28 Understanding of Drivers Speed Decisions to Improve Traffic Management on Highways of the Future
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    Chapter 29 Automatic Relocation of Link Related Data in an Updated Road Map
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    Chapter 30 Comparison of E-Ink and OLED Screens as Train Seat Displays: A User Study
Attention for Chapter 23: Automated Driver Scheduling for Vehicle Delivery
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Chapter title
Automated Driver Scheduling for Vehicle Delivery
Chapter number 23
Book title
Intelligent Transport Systems – From Research and Development to the Market Uptake
Published by
Springer, Cham, November 2017
DOI 10.1007/978-3-319-93710-6_23
Book ISBNs
978-3-31-993709-0, 978-3-31-993710-6
Authors

Shashika R. Muramudalige, H. M. N. Dilum Bandara, Muramudalige, Shashika R., Bandara, H. M. N. Dilum

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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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 33%
Student > Master 2 33%
Researcher 1 17%
Unknown 1 17%
Readers by discipline Count As %
Engineering 2 33%
Computer Science 2 33%
Business, Management and Accounting 1 17%
Unknown 1 17%