Origin-Destination Matrix Estimation Using Bush-Based User Equilibrium Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43962665" target="_blank" >RIV/49777513:23520/21:43962665 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-86973-1_20" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-86973-1_20</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-86973-1_20" target="_blank" >10.1007/978-3-030-86973-1_20</a>
Alternative languages
Result language
angličtina
Original language name
Origin-Destination Matrix Estimation Using Bush-Based User Equilibrium Algorithms
Original language description
This paper deals with origin-destination matrix estimation using traffic counts where the traffic assignment subproblem is solved using modern bush-based algorithms that are very powerful. The proposed algorithm for the origin-destination matrix estimation uses the well-known advantages of bushes (the origin-rooted acyclic subgraph) so that the algorithm does not need to enumerate the paths between origins and destinations. The proposed approach saves 5%–17% of the computation time compared to the methods that enumerate the paths and also is less memory demanding. The algorithm especially speeds up the origin-destination matrix estimation on high congested road networks.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20104 - Transport engineering
Result continuities
Project
<a href="/en/project/CK01000096" target="_blank" >CK01000096: Innovative Approaches to Mathematical Traffic Modelling for Sustainable Development of Cities and Regions</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational Science and Its Applications – ICCSA 2021 : proceedings. Part 4
ISBN
978-3-030-86972-4
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
10
Pages from-to
285-294
Publisher name
Springer
Place of publication
Cham
Event location
Cagliari
Event date
Sep 13, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000722424200020