Operations Research and Decision Aid Methodologies in Traffic and Transportation Management by Martine LabbeOperations Research and Decision Aid Methodologies in Traffic and Transportation Management by Martine Labbe

Operations Research and Decision Aid Methodologies in Traffic and Transportation Management

byMartine LabbeEditorGilbert Laporte, Katalin Tanczos

Paperback | December 9, 2010

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This is a collection of state-of-the-art surveys on topics at the interface between transportation modeling and operations research given by leading international experts. Based on contributions to a NATO workshop, the surveys are up-to-date and rigorous presentations or applications of quantitative methods in the area. The subjects covered include dynamic traffic simulation techniques and dynamic routing in congested networks, operation and control of traffic management tools, optimized transportation data collection, and vehicle routing problems.
Title:Operations Research and Decision Aid Methodologies in Traffic and Transportation ManagementFormat:PaperbackDimensions:344 pages, 23.5 × 15.5 × 0.07 inPublished:December 9, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642084281

ISBN - 13:9783642084287

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Table of Contents

Transportation Modeling and Operations Research: a Fruitful Connection.- PACSIM: a New Dynamic Behavioural Model for Multimodal Traffic Assignment.- Automatic Control Methods in Traffic and Transportation.- Mobility and Accessibility. The Case of Brussels.- Dynamic Traffic Simulation and Assignment: Models, Algorithms and Application to ATIS/ATMS Evaluation and Operation.- Traffic Modeling and Variational Inequalities using GAMS.- Multicriteria Evaluation Methods and Group Decision Systems for Transport Infrastructure Development Projects.- Recent Advances in Routing Algorithms.- Discrete Choice Models.- Crew Scheduling and Rostering Problems in Railway Applications.- An Introduction to Stochastic Transportation Models.- Facility Location: Models, Methods and Applications.- Eliminating Bias Due to the Repeated Measurements Problem in Stated Preference Data.- An Alternative Model of Spatial Competition.- An Integrated Approach to Extra-Urban Crew and Vehicle Scheduling.