Print Email Facebook Twitter Travel demand matrix estimation for strategic road traffic assignment models with strict capacity constraints and residual queues Title Travel demand matrix estimation for strategic road traffic assignment models with strict capacity constraints and residual queues Author Brederode, L.J.N. (TU Delft Transport and Planning; DAT.Mobility) Pel, A.J. (TU Delft Transport and Planning) Wismans, Luc (University of Twente; DAT.Mobility) Rijksen, Bernike (University of Twente) Hoogendoorn, S.P. (TU Delft Transport and Planning) Department Transport and Planning Date 2023 Abstract This paper presents an efficient solution method for the matrix estimation problem using a static capacity constrained traffic assignment (SCCTA) model with residual queues. The solution method allows for inclusion of route queuing delays and congestion patterns besides the traditional link flows and prior demand matrix whilst the tractability of the SCCTA model avoids the need for tedious tuning of application specific algorithmic parameters. The proposed solution method solves a series of simplified optimization problems, thereby avoiding costly additional assignment model runs. Link state constraints are used to prevent usage of approximations outside their valid range as well as to include observed congestion patterns. The proposed solution method is designed to be fast, scalable, robust, tractable and reliable because conditions under which a solution to the simplified optimization problem exist are known and because the problem is convex and has a smooth objective function. Four test case applications on the small Sioux Falls model are presented, each consisting of 100 runs with varied input for robustness. The applications demonstrate the added value of inclusion of observed congestion patterns and route queuing delays within the solution method. In addition, application on the large scale BBMB model demonstrates that the proposed solution method is indeed scalable to large scale applications and clearly outperforms the method mostly used in current practice. Subject Capacity constrainedCongestion patternsDemand matrix estimationLarge scalemathematical propertiesPrior OD demand matrixRoute travel timesStatic traffic assignment modelStrategic To reference this document use: http://resolver.tudelft.nl/uuid:ef08e9a2-48a9-4dc7-b97f-5c39500daf2c DOI https://doi.org/10.1016/j.trb.2022.11.006 ISSN 0191-2615 Source Transportation Research. Part B: Methodological, 167, 1-31 Part of collection Institutional Repository Document type journal article Rights © 2023 L.J.N. Brederode, A.J. Pel, Luc Wismans, Bernike Rijksen, S.P. Hoogendoorn Files PDF 1_s2.0_S0191261522001874_main.pdf 5.96 MB Close viewer /islandora/object/uuid:ef08e9a2-48a9-4dc7-b97f-5c39500daf2c/datastream/OBJ/view