title: Non-linear optimization for continuous travel demand estimation
metadata.name: dc.contributor.author
metadata.value: Raevskaya, Anastasiya P.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Krylatov, Alexander Y.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2021-05-04T14:16:28Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2021-05-04T14:16:28Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2021-03
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Raevskaya A.P., Krylatov A.Y. Non-linear optimization for continuous travel demand estimation. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2021, vol. 17, iss. 1, pp. 40–46.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/11701/spbu10.2021.104
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/28422
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: Models and methods of traffic distribution are being developed by researchers all over the
  world. The development of this scientific field contributes to both theory and practice. In this
  article, the non-linear optimization of traffic flow re-assignment is examined in order to solve
  continuously the travel demand estimation problem. An approach has been developed in
  the form of computational methodology to cope with the network optimization problem.
  A uniqueness theorem is proved for a certain type of road network. Explicit relations
  between travel demand and traffic flow are obtained for a single-commodity network of
  non-intersecting routes with special polynomial travel time functions. The obtained findings
  contribute to the theory and provide a fresh perspective on the problem for transportation
  engineers.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The work was supported by the Russian Science Foundation (project N 20-71-00062).
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 17; Issue 1
metadata.lang: -
metadata.name: dc.subject
metadata.value: travel demand estimation
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: traffic assignment problem
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: non-linear optimization
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: bi-level optimization
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Non-linear optimization for continuous travel demand estimation
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 04_Raevskaya.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/28422/1/04_Raevskaya.pdf
resources.format: Adobe PDF
resources.size: 241,16 kB