eprintid: 10195155 rev_number: 7 eprint_status: archive userid: 699 dir: disk0/10/19/51/55 datestamp: 2024-07-30 09:52:34 lastmod: 2024-07-30 09:52:34 status_changed: 2024-07-30 09:52:34 type: article metadata_visibility: show sword_depositor: 699 creators_name: de la Paz Guala, Ricardo creators_name: Cortés, Cristián E creators_name: Heydecker, Benjamin creators_name: Rey, Pablo A title: An arc-based approach for stochastic dynamic traffic assignment ispublished: pub divisions: UCL divisions: B04 divisions: F44 keywords: Stochastic DTA, arc-based model, probabilistic route choice note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. abstract: In dynamic traffic assignment (DTA) models, it seems relevant to consider the uncertainty inherent to motorist route choices. Particularly, choices on realistic transport networks are mostly made using motorists' perceived costs of all routes from their origins to their destinations. We present an approach to address stochastic DTA based on nested cost operators, where motorists choose according to the perceived costs of the remaining trip, namely, from current position to destination. We integrate the Markovian traffic equilibrium by Baillon and Cominetti with the DTA formulation by Addison and Heydecker obtaining an arc-based stochastic DTA model, which we denote in short as ABSDTA. The resulting approach accommodates overlapping routes, respecting costs' correlation as well as the first-in-first-out rule. We present a solution method for discrete time periods, computational results on an illustrative network, including sensitivity analyses of the parameters, and comparisons with a previous suitable stochastic DTA model from the literature. date: 2024-07-25 date_type: published publisher: Taylor & Francis full_text_type: other language: eng verified: verified_manual elements_id: 2301423 doi: 10.1080/21680566.2024.2380914 lyricists_name: Heydecker, Benjamin lyricists_id: BGHEY05 actors_name: Heydecker, Benjamin actors_id: BGHEY05 actors_role: owner full_text_status: restricted publication: Transportmetrica B volume: 12 number: 1 article_number: 2380914 issn: 2168-0566 citation: de la Paz Guala, Ricardo; Cortés, Cristián E; Heydecker, Benjamin; Rey, Pablo A; (2024) An arc-based approach for stochastic dynamic traffic assignment. Transportmetrica B , 12 (1) , Article 2380914. 10.1080/21680566.2024.2380914 <https://doi.org/10.1080/21680566.2024.2380914>. document_url: https://discovery.ucl.ac.uk/id/eprint/10195155/1/TTRB-2023-0218.R2_Proof_hi.pdf