On the System Optimum Dynamic Traffic Assignment and Earliest Arrival Flow Problems

Hong Zheng (), Yi-Chang Chiu () and Pitu B. Mirchandani ()
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Hong Zheng: Department of Civil Engineering and Engineering Mechanics, University of Arizona, Tucson, Arizona 85721
Yi-Chang Chiu: Department of Civil Engineering and Engineering Mechanics, University of Arizona, Tucson, Arizona 85721
Pitu B. Mirchandani: School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, Arizona 85287

Transportation Science, 2015, vol. 49, issue 1, 13-27

Abstract: This paper investigates the cell-transmission model (CTM)-based single destination system optimum dynamic traffic assignment (SO-DTA) problem, focusing attention on a case where the cell properties are time-invariant. We show the backward propagation of congestion in CTM does not affect the optimal arrival flow pattern of SO-DTA, if the fundamental diagram is of triangular/trapezoidal shape as in the CTM. We mathematically prove that the set of earliest arrival flows (EAFs) not constrained by the traffic wave propagation equations obtained on the node-arc network without cell division is a subset of the SO-DTA. This finding leads to a new approach to the SO-DTA that solves the EAF. Such an EAF can be obtained by merely applying static flow techniques and turning the static flows into dynamic flows over time. Therefore, SO-DTA can theoretically be solved with a run time at the link level depending polynomially on log T . We use numerical examples to verify the results and report the computational benefits of the proposed method by solving SO-DTA on a real-world network.

Keywords: dynamic traffic assignment; earliest arrival flows; flows over time; system optimum; cell-transmission model (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:ortrsc:v:49:y:2015:i:1:p:13-27

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