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Vestnik Sankt-Peterburgskogo Universiteta. Seriya 10. Prikladnaya Matematika. Informatika. Protsessy Upravleniya, 2021, Volume 17, Issue 1, Pages 40–46
DOI: https://doi.org/10.21638/11701/spbu10.2021.104
(Mi vspui476)
 

Applied mathematics

Non-linear optimization for continuous travel demand estimation

A. P. Raevskaya, A. Yu. Krylatov

St. Petersburg State University, 7–9, Universitetskaya nab., St. Petersburg, 199034, Russian Federation
References:
Abstract: 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.
Keywords: travel demand estimation, traffic assignment problem, non-linear optimization, bi-level optimization.
Funding agency Grant number
Russian Science Foundation 20-71-00062
The work was supported by the Russian Science Foundation (project N 20-71-00062).
Received: December 29, 2020
Accepted: January 15, 2021
Document Type: Article
UDC: 519.8
MSC: 90C33
Language: English
Citation: A. P. Raevskaya, A. Yu. Krylatov, “Non-linear optimization for continuous travel demand estimation”, Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 17:1 (2021), 40–46
Citation in format AMSBIB
\Bibitem{RaeKry21}
\by A.~P.~Raevskaya, A.~Yu.~Krylatov
\paper Non-linear optimization for continuous travel demand estimation
\jour Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr.
\yr 2021
\vol 17
\issue 1
\pages 40--46
\mathnet{http://mi.mathnet.ru/vspui476}
\crossref{https://doi.org/10.21638/11701/spbu10.2021.104}
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