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Solving multi-objective traffic assignment

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Solving multi-objective traffic assignment. / Raith, Andrea; Wang, Judith Y. T.; Ehrgott, Matthias et al.
In: Annals of Operations Research, Vol. 222, No. 1, 11.2014, p. 483-516.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Raith, A, Wang, JYT, Ehrgott, M & Mitchell, SA 2014, 'Solving multi-objective traffic assignment', Annals of Operations Research, vol. 222, no. 1, pp. 483-516. https://doi.org/10.1007/s10479-012-1284-1

APA

Raith, A., Wang, J. Y. T., Ehrgott, M., & Mitchell, S. A. (2014). Solving multi-objective traffic assignment. Annals of Operations Research, 222(1), 483-516. https://doi.org/10.1007/s10479-012-1284-1

Vancouver

Raith A, Wang JYT, Ehrgott M, Mitchell SA. Solving multi-objective traffic assignment. Annals of Operations Research. 2014 Nov;222(1):483-516. doi: 10.1007/s10479-012-1284-1

Author

Raith, Andrea ; Wang, Judith Y. T. ; Ehrgott, Matthias et al. / Solving multi-objective traffic assignment. In: Annals of Operations Research. 2014 ; Vol. 222, No. 1. pp. 483-516.

Bibtex

@article{6335ae40be064a90a63c63efd9b6c9fe,
title = "Solving multi-objective traffic assignment",
abstract = "Traffic assignment is a key component in transport planning models. It models travel behaviour in terms of route choice. This is essential to accurately forecast travel demand and most importantly to enable the correct assessment of the benefits of changes in transport policies and infrastructure developments. The route choice of travellers may be influenced by multiple objectives, for example travel time but also travel associated toll costs. Here, travellers may avoid a fast route because of toll costs associated with it. We explicitly distinguish those functions as separate route choice objectives. This leads to the concept of multi-objective traffic assignment (MTA). We discuss the concept of MTA, and develop heuristic solution methods to obtain equilibrium solutions of MTA and present some computational results.",
keywords = "Multi-objective optimisation , Traffic assignment, Network equilibrium , Nonlinear value of time",
author = "Andrea Raith and Wang, {Judith Y. T.} and Matthias Ehrgott and Mitchell, {Stuart A.}",
year = "2014",
month = nov,
doi = "10.1007/s10479-012-1284-1",
language = "English",
volume = "222",
pages = "483--516",
journal = "Annals of Operations Research",
issn = "0254-5330",
publisher = "Springer",
number = "1",

}

RIS

TY - JOUR

T1 - Solving multi-objective traffic assignment

AU - Raith, Andrea

AU - Wang, Judith Y. T.

AU - Ehrgott, Matthias

AU - Mitchell, Stuart A.

PY - 2014/11

Y1 - 2014/11

N2 - Traffic assignment is a key component in transport planning models. It models travel behaviour in terms of route choice. This is essential to accurately forecast travel demand and most importantly to enable the correct assessment of the benefits of changes in transport policies and infrastructure developments. The route choice of travellers may be influenced by multiple objectives, for example travel time but also travel associated toll costs. Here, travellers may avoid a fast route because of toll costs associated with it. We explicitly distinguish those functions as separate route choice objectives. This leads to the concept of multi-objective traffic assignment (MTA). We discuss the concept of MTA, and develop heuristic solution methods to obtain equilibrium solutions of MTA and present some computational results.

AB - Traffic assignment is a key component in transport planning models. It models travel behaviour in terms of route choice. This is essential to accurately forecast travel demand and most importantly to enable the correct assessment of the benefits of changes in transport policies and infrastructure developments. The route choice of travellers may be influenced by multiple objectives, for example travel time but also travel associated toll costs. Here, travellers may avoid a fast route because of toll costs associated with it. We explicitly distinguish those functions as separate route choice objectives. This leads to the concept of multi-objective traffic assignment (MTA). We discuss the concept of MTA, and develop heuristic solution methods to obtain equilibrium solutions of MTA and present some computational results.

KW - Multi-objective optimisation

KW - Traffic assignment

KW - Network equilibrium

KW - Nonlinear value of time

U2 - 10.1007/s10479-012-1284-1

DO - 10.1007/s10479-012-1284-1

M3 - Journal article

VL - 222

SP - 483

EP - 516

JO - Annals of Operations Research

JF - Annals of Operations Research

SN - 0254-5330

IS - 1

ER -