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