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100301s2009 xxu| s |||| 0|eng d |
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|a 9780387848129
|9 978-0-387-84812-9
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| 024 |
7 |
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|a 10.1007/978-0-387-84812-9
|2 doi
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| 100 |
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|a Nuzzolo, Agostino.
|e editor.
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| 245 |
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|a Schedule-Based Modeling of Transportation Networks
|b Theory and applications /
|c edited by Agostino Nuzzolo, Nigel H. M. Wilson.
|h [electronic resource] :
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| 264 |
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|a Boston, MA :
|b Springer US,
|c 2009.
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| 300 |
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|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a Operations Research/Computer Science Interfaces Series,
|v 46
|x 1387-666X ;
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| 505 |
0 |
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|a Introduction -- Schedule-based transportation system modeling: recent developments -- Passengers route choices in delayed rail networks -- Multi-day dynamic transit assignment -- Schedule-based dynamic transit assignment -- The potential impact of automated data collection systems on urban public transport planning -- Comparative assessment of alternative transit assignment models -- Large-scale schedule-based transit assignment -- Schedule-based transit assignment: a new dynamic equilibrium model with explicit vehicle capacity constraints -- Micro simulation learning-based approach for transit assignment -- Short-term prediction of vehicle loads in advanced public transportation information systems -- Dynamic transit assignment: the case for a frequency based model -- Schedule-based passenger and freight mode choice models for extra urban trips -- A schedule-based methodology proposal for sea motorways feasibility evaluation -- Estimation of target time distribution for agrifood products by road freight distribution -- A macroscopic model of a container terminal based on diachronic networks.
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| 520 |
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|a Schedule-Based Modeling of Transportation Networks: Theory and Applications follows the book Schedule-Based Dynamic Transit Modeling, published in this series in 2004, recognizing the critical role that schedules play in transportation systems. Conceived for the simulation of transit systems, in the last few years the schedule-based approach has been expanded and applied to operational planning of other transportation schedule services besides mass transit, e.g. freight transport. This innovative approach allows forecasting the evolution over time of the on-board loads on the services and their time-varying performance, using credible user behavioral hypotheses. It opens new frontiers in transportation modeling to support network design, timetable setting, and investigation of congestion effects, as well as the assessment of such new technologies, such as users system information (ITS technologies). The contributors and editors of the book are leading researchers in the field of transportation, and in this volume they build a solid foundation for developing still more sophisticated models. These future models of scheduled transportation systems will continue to improve the accuracy and sensitivity desired in forecasting the performance of public transport systems.
|
| 650 |
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|a Economics.
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| 650 |
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|a Industrial engineering.
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| 650 |
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|a Engineering economy.
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| 650 |
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|a Industrial organization (Economic theory).
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| 650 |
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|a Finance.
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| 650 |
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|a Regional economics.
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| 650 |
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|a Economics/Management Science.
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| 650 |
2 |
4 |
|a Industrial Organization.
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| 650 |
2 |
4 |
|a Public Finance & Economics.
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| 650 |
2 |
4 |
|a Industrial and Production Engineering.
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| 650 |
2 |
4 |
|a Engineering Economics, Organization, Logistics, Marketing.
|
| 650 |
2 |
4 |
|a Regional/Spatial Science.
|
| 650 |
2 |
4 |
|a Operations Research/Decision Theory.
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| 700 |
1 |
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|a Wilson, Nigel H. M.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9780387848112
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| 830 |
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|a Operations Research/Computer Science Interfaces Series,
|v 46
|x 1387-666X ;
|
| 856 |
4 |
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|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-84812-9
|
| 912 |
# |
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|a ZDB-2-SBE
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| 950 |
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|a Business and Economics (Springer-11643)
|