A General Stochastic Process for Day-to-Day Dynamic Traffic Assignment: Formulation, Asymptotic Behaviour, and Stability Analysis
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 12 - Engineering
- Output identifier
- ITS-22
- Type
- D - Journal article
- DOI
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10.1016/j.trb.2016.05.005
- Title of journal
- Transportation Research Part B: Methodological
- Article number
- -
- First page
- 3
- Volume
- 92
- Issue
- Part A
- ISSN
- 0191-2615
- Open access status
- Access exception
- Month of publication
- May
- Year of publication
- 2016
- URL
-
https://doi.org/10.1016/j.trb.2016.05.005
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper develops a theoretical framework for modelling the dynamics of traffic flow over a network that arise from drivers’ adaptive route choice decisions. The significance of the work is that it represents uncertainty and unpredictability in these phenomena as a stochastic process, as it emerges from the interplay between route choice and traffic congestion. These features are important for traffic engineers understanding and designing in resilience to transport networks. With solid theoretical foundation the model will produce a unique, repeatable, stochastic prediction for any given scenario, allowing comparison of interventions robustly and with confidence.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
