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Schedule-Based Modeling of Transportation Networks

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Cover of 'Schedule-Based Modeling of Transportation Networks'

Table of Contents

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    Book Overview
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    Chapter 1 The schedule-based modeling of transportation systems: recent developments.
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    Chapter 2 Passenger delay models for rail networks
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    Chapter 3 Multi-day dynamic transit assignment
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    Chapter 4 Schedule-based dynamic transit assignment
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    Chapter 5 The potential impact of automated data collection systems on urban public transport planning.
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    Chapter 6 Using automated fare collection data, GIS, and dynamic schedule queries to improve transit data and transit assignment model.
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    Chapter 7 Large-scale schedule-based transit assignment – further optimization of the solution algorithms
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    Chapter 8 Schedule-based transit assignment: new dynamic equilibrium model with vehicle capacity constraints
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    Chapter 9 MILATRAS: a new modeling framework for the transit assignment problem
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    Chapter 10 Simulation-based evaluation of Advanced Public Transportation Information Systems (APTIS)
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    Chapter 11 The build-up of capacity problems during the peak hour
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    Chapter 12 Schedule-based passenger and freight mode choice models for ex- urban trips
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    Chapter 13 A schedule-based methodology proposal for Sea Motorways feasibility evaluation
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    Chapter 14 Estimation of target time distribution for agri-food products by road transport
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    Chapter 15 A macroscopic model of a container terminal based on diachronic networks
Attention for Chapter 5: The potential impact of automated data collection systems on urban public transport planning.
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Chapter title
The potential impact of automated data collection systems on urban public transport planning.
Chapter number 5
Book title
Schedule-Based Modeling of Transportation Networks
Published in
Schedule-Based Modeling of Transportation Networks, January 2009
DOI 10.1007/978-0-387-84812-9_5
Book ISBNs
978-0-387-84811-2, 978-0-387-84812-9
Authors

Nigel H.M. Wilson, Jinhua Zhao, Adam Rahbee

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

Geographical breakdown

Country Count As %
Netherlands 1 3%
Switzerland 1 3%
Brazil 1 3%
Unknown 37 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 20%
Student > Ph. D. Student 8 20%
Student > Bachelor 3 8%
Professor > Associate Professor 3 8%
Lecturer 2 5%
Other 6 15%
Unknown 10 25%
Readers by discipline Count As %
Engineering 15 38%
Computer Science 5 13%
Business, Management and Accounting 3 8%
Social Sciences 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 1 3%
Unknown 13 33%