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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 15: A macroscopic model of a container terminal based on diachronic networks
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Chapter title
A macroscopic model of a container terminal based on diachronic networks
Chapter number 15
Book title
Schedule-Based Modeling of Transportation Networks
Published by
Springer, Boston, MA, January 2009
DOI 10.1007/978-0-387-84812-9_15
Book ISBNs
978-0-387-84811-2, 978-0-387-84812-9
Authors

Stefano de Luca, Giulio E. Cantarella, Armando Cartenì

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 22%
Researcher 2 22%
Student > Doctoral Student 1 11%
Unspecified 1 11%
Other 1 11%
Other 1 11%
Unknown 1 11%
Readers by discipline Count As %
Economics, Econometrics and Finance 2 22%
Unspecified 1 11%
Computer Science 1 11%
Business, Management and Accounting 1 11%
Social Sciences 1 11%
Other 1 11%
Unknown 2 22%