Schedule-Based Dynamic Transit Modeling: theory and applications [electronic resource] /

Schedule-Based Dynamic Transit Modeling: Theory and Applications outlines the new schedule-based dynamic approach to mass transit modeling. In the last ten years the schedule-based dynamic approach has been developed and applied especially for operational planning. It allows time evolution of on-board loads and travel times for each run of each line to be obtained, and uses behavioral hypotheses strictly related to transit systems and user characteristics. It allows us to open new frontiers in transit modelling to support network design, timetable setting, investigation of congestion effects, as well as the assessment of new technologies introduction, such as information to users (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 mass transit systems will continue to add higher levels of accuracy and sensitivity desired in forecasting the performance of public transport systems.

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Bibliographic Details
Main Authors: Wilson, Nigel H. M. editor., Nuzzolo, Agostino. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Boston, MA : Springer US : Imprint: Springer, 2004
Subjects:Operations research., Decision making., Complexity, Computational., Civil engineering., Industrial organization., Regional economics., Spatial economics., Economics., Regional/Spatial Science., Operation Research/Decision Theory., Civil Engineering., Complexity., Industrial Organization.,
Online Access:http://dx.doi.org/10.1007/978-1-4757-6467-3
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record_format koha
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Operations research.
Decision making.
Complexity, Computational.
Civil engineering.
Industrial organization.
Regional economics.
Spatial economics.
Economics.
Regional/Spatial Science.
Operation Research/Decision Theory.
Civil Engineering.
Complexity.
Industrial Organization.
Operations research.
Decision making.
Complexity, Computational.
Civil engineering.
Industrial organization.
Regional economics.
Spatial economics.
Economics.
Regional/Spatial Science.
Operation Research/Decision Theory.
Civil Engineering.
Complexity.
Industrial Organization.
spellingShingle Operations research.
Decision making.
Complexity, Computational.
Civil engineering.
Industrial organization.
Regional economics.
Spatial economics.
Economics.
Regional/Spatial Science.
Operation Research/Decision Theory.
Civil Engineering.
Complexity.
Industrial Organization.
Operations research.
Decision making.
Complexity, Computational.
Civil engineering.
Industrial organization.
Regional economics.
Spatial economics.
Economics.
Regional/Spatial Science.
Operation Research/Decision Theory.
Civil Engineering.
Complexity.
Industrial Organization.
Wilson, Nigel H. M. editor.
Nuzzolo, Agostino. editor.
SpringerLink (Online service)
Schedule-Based Dynamic Transit Modeling: theory and applications [electronic resource] /
description Schedule-Based Dynamic Transit Modeling: Theory and Applications outlines the new schedule-based dynamic approach to mass transit modeling. In the last ten years the schedule-based dynamic approach has been developed and applied especially for operational planning. It allows time evolution of on-board loads and travel times for each run of each line to be obtained, and uses behavioral hypotheses strictly related to transit systems and user characteristics. It allows us to open new frontiers in transit modelling to support network design, timetable setting, investigation of congestion effects, as well as the assessment of new technologies introduction, such as information to users (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 mass transit systems will continue to add higher levels of accuracy and sensitivity desired in forecasting the performance of public transport systems.
format Texto
topic_facet Operations research.
Decision making.
Complexity, Computational.
Civil engineering.
Industrial organization.
Regional economics.
Spatial economics.
Economics.
Regional/Spatial Science.
Operation Research/Decision Theory.
Civil Engineering.
Complexity.
Industrial Organization.
author Wilson, Nigel H. M. editor.
Nuzzolo, Agostino. editor.
SpringerLink (Online service)
author_facet Wilson, Nigel H. M. editor.
Nuzzolo, Agostino. editor.
SpringerLink (Online service)
author_sort Wilson, Nigel H. M. editor.
title Schedule-Based Dynamic Transit Modeling: theory and applications [electronic resource] /
title_short Schedule-Based Dynamic Transit Modeling: theory and applications [electronic resource] /
title_full Schedule-Based Dynamic Transit Modeling: theory and applications [electronic resource] /
title_fullStr Schedule-Based Dynamic Transit Modeling: theory and applications [electronic resource] /
title_full_unstemmed Schedule-Based Dynamic Transit Modeling: theory and applications [electronic resource] /
title_sort schedule-based dynamic transit modeling: theory and applications [electronic resource] /
publisher Boston, MA : Springer US : Imprint: Springer,
publishDate 2004
url http://dx.doi.org/10.1007/978-1-4757-6467-3
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spelling KOHA-OAI-TEST:2027972018-07-30T23:30:31ZSchedule-Based Dynamic Transit Modeling: theory and applications [electronic resource] / Wilson, Nigel H. M. editor. Nuzzolo, Agostino. editor. SpringerLink (Online service) textBoston, MA : Springer US : Imprint: Springer,2004.engSchedule-Based Dynamic Transit Modeling: Theory and Applications outlines the new schedule-based dynamic approach to mass transit modeling. In the last ten years the schedule-based dynamic approach has been developed and applied especially for operational planning. It allows time evolution of on-board loads and travel times for each run of each line to be obtained, and uses behavioral hypotheses strictly related to transit systems and user characteristics. It allows us to open new frontiers in transit modelling to support network design, timetable setting, investigation of congestion effects, as well as the assessment of new technologies introduction, such as information to users (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 mass transit systems will continue to add higher levels of accuracy and sensitivity desired in forecasting the performance of public transport systems.General Aspects -- 1 The Schedule-Based approach in dynamic transit modelling: a general overview -- 2 A dynamic mode transit service choice model to design ex-urban transport service timetables -- 3 Finding shortest time-dependent paths in Schedule-Based transit networks: a Label Setting algorithm -- 4 A large scale Stochastic Multi-Class Schedule-Based transit model with random coefficients -- 5 Schedule-Based Dynamic Assignment models for public transport networks -- Application to Its -- 6 Simulation-Based Evaluation of Advanced Public Transportation Systems -- 7 Short-term prediction of vehicle occupancy in Advanced Public Transportation Information Systems (APTIS) -- 8 DY-RT: a tool for Schedule-Based planning of regional transit networks -- 9 A Schedule-Based transit assignment model addressing the passengers’ choice among competing connections -- 10 Estimation of transit passenger Origin-Destination matrices from passenger counts in congested transit networks -- 11 Evaluation of O/D trip matrices by traffic counts in transit systems -- 12 Application for comparing frequency and Schedule-Based approaches in the simulation of a low frequency transit system -- 13 Minimum path algorithms for a Schedule-Based transit network with a general fare structure -- 14 A Solution to the transit assignment problem.Schedule-Based Dynamic Transit Modeling: Theory and Applications outlines the new schedule-based dynamic approach to mass transit modeling. In the last ten years the schedule-based dynamic approach has been developed and applied especially for operational planning. It allows time evolution of on-board loads and travel times for each run of each line to be obtained, and uses behavioral hypotheses strictly related to transit systems and user characteristics. It allows us to open new frontiers in transit modelling to support network design, timetable setting, investigation of congestion effects, as well as the assessment of new technologies introduction, such as information to users (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 mass transit systems will continue to add higher levels of accuracy and sensitivity desired in forecasting the performance of public transport systems.Operations research.Decision making.Complexity, Computational.Civil engineering.Industrial organization.Regional economics.Spatial economics.Economics.Regional/Spatial Science.Operation Research/Decision Theory.Civil Engineering.Complexity.Industrial Organization.Springer eBookshttp://dx.doi.org/10.1007/978-1-4757-6467-3URN:ISBN:9781475764673