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An approach-based formulation for reliability-based stochastic transit assignment

Research output: Contribution to conference - Without ISBN/ISSN Abstractpeer-review

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An approach-based formulation for reliability-based stochastic transit assignment. / Jiang, Yu; Szeto, W.Y.
2015. 45 Abstract from Conference on Advanced Systems in Public Transport(CASPT).

Research output: Contribution to conference - Without ISBN/ISSN Abstractpeer-review

Harvard

Jiang, Y & Szeto, WY 2015, 'An approach-based formulation for reliability-based stochastic transit assignment', Conference on Advanced Systems in Public Transport(CASPT), 19/07/15 - 23/07/15 pp. 45.

APA

Jiang, Y., & Szeto, W. Y. (2015). An approach-based formulation for reliability-based stochastic transit assignment. 45. Abstract from Conference on Advanced Systems in Public Transport(CASPT).

Vancouver

Jiang Y, Szeto WY. An approach-based formulation for reliability-based stochastic transit assignment. 2015. Abstract from Conference on Advanced Systems in Public Transport(CASPT).

Author

Jiang, Yu ; Szeto, W.Y. / An approach-based formulation for reliability-based stochastic transit assignment. Abstract from Conference on Advanced Systems in Public Transport(CASPT).1 p.

Bibtex

@conference{2983077423a349619aa1c69c50db3818,
title = "An approach-based formulation for reliability-based stochastic transit assignment",
abstract = "This paper proposes link-based and approach-based variational inequality (VI) formulations for the stochastic frequency-based transit assignment with soft capacity constraints. An augmented route-section network representation is developed to address the covariance of in-vehicle travel costs between different sections of the same transit line. The augmented route-section network allows us applying the dynamic programming method to compute the mapping function of the VI, even if the correlation of travel times between route sections exists. To solve the problem, an extragradient method that only requires a mild assumption for convergence is proposed. A capacity paradox, a phenomenon in which the network maximum throughput may be reduced after providing new transit lines to a transit network or increasing the frequency of an existing line, is discussed. Numerical examples are provided to illustrate the effects of different parameterson the occurrence of the capacity paradox. Moreover, it is found that the capacity paradox may not occur simultaneously with the Braess-like paradox, a phenomenon in which providing new transit lines to a network may deteriorate the network performance in terms of the total effective travel cost.",
author = "Yu Jiang and W.Y Szeto",
year = "2015",
language = "English",
pages = "45",
note = "Conference on Advanced Systems in Public Transport(CASPT) ; Conference date: 19-07-2015 Through 23-07-2015",

}

RIS

TY - CONF

T1 - An approach-based formulation for reliability-based stochastic transit assignment

AU - Jiang, Yu

AU - Szeto, W.Y

PY - 2015

Y1 - 2015

N2 - This paper proposes link-based and approach-based variational inequality (VI) formulations for the stochastic frequency-based transit assignment with soft capacity constraints. An augmented route-section network representation is developed to address the covariance of in-vehicle travel costs between different sections of the same transit line. The augmented route-section network allows us applying the dynamic programming method to compute the mapping function of the VI, even if the correlation of travel times between route sections exists. To solve the problem, an extragradient method that only requires a mild assumption for convergence is proposed. A capacity paradox, a phenomenon in which the network maximum throughput may be reduced after providing new transit lines to a transit network or increasing the frequency of an existing line, is discussed. Numerical examples are provided to illustrate the effects of different parameterson the occurrence of the capacity paradox. Moreover, it is found that the capacity paradox may not occur simultaneously with the Braess-like paradox, a phenomenon in which providing new transit lines to a network may deteriorate the network performance in terms of the total effective travel cost.

AB - This paper proposes link-based and approach-based variational inequality (VI) formulations for the stochastic frequency-based transit assignment with soft capacity constraints. An augmented route-section network representation is developed to address the covariance of in-vehicle travel costs between different sections of the same transit line. The augmented route-section network allows us applying the dynamic programming method to compute the mapping function of the VI, even if the correlation of travel times between route sections exists. To solve the problem, an extragradient method that only requires a mild assumption for convergence is proposed. A capacity paradox, a phenomenon in which the network maximum throughput may be reduced after providing new transit lines to a transit network or increasing the frequency of an existing line, is discussed. Numerical examples are provided to illustrate the effects of different parameterson the occurrence of the capacity paradox. Moreover, it is found that the capacity paradox may not occur simultaneously with the Braess-like paradox, a phenomenon in which providing new transit lines to a network may deteriorate the network performance in terms of the total effective travel cost.

M3 - Abstract

SP - 45

T2 - Conference on Advanced Systems in Public Transport(CASPT)

Y2 - 19 July 2015 through 23 July 2015

ER -