Origin-based algorithms for combined travel forecasting models

Hillel Bar-Gera; David Boyce

doi:10.1016/S0191-2615(02)00020-6

Origin-based algorithms for combined travel forecasting models

Hillel Bar-Gera, David Boyce

Department of Industrial Engineering and Management

Research output: Contribution to journal › Article › peer-review

85 Scopus citations

Abstract

Consistent transportation forecasting models that combine travel demand and network assignment are receiving more attention in recent years. A fixed point formulation for the general combined model is presented. Measures for solution accuracy are discussed. An origin-based algorithm for solving combined models is proposed. Experimental results demonstrate the efficiency of the algorithm in comparison with prevailing alternatives.

Original language	English
Pages (from-to)	405-422
Number of pages	18
Journal	Transportation Research Part B: Methodological
Volume	37
Issue number	5
DOIs	https://doi.org/10.1016/S0191-2615(02)00020-6
State	Published - 1 Jan 2003

Keywords

Combined models
Fixed point
Origin-based assignment
Travel forecasting

ASJC Scopus subject areas

Civil and Structural Engineering
Transportation

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10.1016/S0191-2615(02)00020-6

Cite this

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title = "Origin-based algorithms for combined travel forecasting models",

abstract = "Consistent transportation forecasting models that combine travel demand and network assignment are receiving more attention in recent years. A fixed point formulation for the general combined model is presented. Measures for solution accuracy are discussed. An origin-based algorithm for solving combined models is proposed. Experimental results demonstrate the efficiency of the algorithm in comparison with prevailing alternatives.",

keywords = "Combined models, Fixed point, Origin-based assignment, Travel forecasting",

author = "Hillel Bar-Gera and David Boyce",

note = "Funding Information: The authors wish to thank the Chicago Area Transportation Study, Chicago, IL. for providing the Chicago Network Data. Financial support was kindly provided by the Kreitman Foundation, Ben-Gurion University of the Negev, Beer-Sheva, Israel, and by the National Science Foundation through the National Institute of Statistical Sciences, Research Triangle Park, NC. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.",

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AU - Bar-Gera, Hillel

AU - Boyce, David

N1 - Funding Information: The authors wish to thank the Chicago Area Transportation Study, Chicago, IL. for providing the Chicago Network Data. Financial support was kindly provided by the Kreitman Foundation, Ben-Gurion University of the Negev, Beer-Sheva, Israel, and by the National Science Foundation through the National Institute of Statistical Sciences, Research Triangle Park, NC. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.

PY - 2003/1/1

Y1 - 2003/1/1

N2 - Consistent transportation forecasting models that combine travel demand and network assignment are receiving more attention in recent years. A fixed point formulation for the general combined model is presented. Measures for solution accuracy are discussed. An origin-based algorithm for solving combined models is proposed. Experimental results demonstrate the efficiency of the algorithm in comparison with prevailing alternatives.

AB - Consistent transportation forecasting models that combine travel demand and network assignment are receiving more attention in recent years. A fixed point formulation for the general combined model is presented. Measures for solution accuracy are discussed. An origin-based algorithm for solving combined models is proposed. Experimental results demonstrate the efficiency of the algorithm in comparison with prevailing alternatives.

KW - Combined models

KW - Fixed point

KW - Origin-based assignment

KW - Travel forecasting

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U2 - 10.1016/S0191-2615(02)00020-6

DO - 10.1016/S0191-2615(02)00020-6

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JO - Transportation Research Part B: Methodological

JF - Transportation Research Part B: Methodological

IS - 5

ER -

Origin-based algorithms for combined travel forecasting models

Abstract

Keywords

ASJC Scopus subject areas

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