Travel demand matrix estimation for strategic road traffic assignment models with strict capacity constraints and residual queues

Luuk Brederode, Adam Pel, Luc Wismans, Bernike Rijksen and Serge Hoogendoorn

Transportation Research Part B: Methodological, 2023, vol. 167, issue C, 1-31

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.

Keywords: Demand matrix estimation; Static traffic assignment model; Capacity constrained; Congestion patterns; Route travel times; Prior OD demand matrix; Large scale; Strategic; mathematical properties (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1016/j.trb.2022.11.006

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