Asymptotic approximations of transient behaviour for day-to-day traffic models
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 12 - Engineering
- Output identifier
- ITS-49
- Type
- D - Journal article
- DOI
-
10.1016/j.trb.2018.10.010
- Title of journal
- Transportation Research Part B: Methodological
- Article number
- -
- First page
- 90
- Volume
- 118
- Issue
- -
- ISSN
- 0191-2615
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2018
- URL
-
-
- 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
- Yes
- Number of additional authors
-
1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Based on a collaboration with Massey University in New Zealand, the paper sets out new theoretical results that capture both the uncertainty and dynamics when a change occurs to a transportation network, and demonstrates/validates these results in a case study of the network of Leicester. The method is shown to be computationally more efficient than other approaches. The research and collaboration were funded by a grant from the New Zealand Royal Society’s Marsden Fund (grant 14-MAU-017).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
