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Equilibrium Traffic Flow Assignment in a Multi-subnet Urban Road Network. / Krylatov, Alexander.

Mathematical Optimization Theory and Operations Research - 20th International Conference, MOTOR 2021, Proceedings. ed. / Panos Pardalos; Michael Khachay; Alexander Kazakov. Springer Nature, 2021. p. 3-16 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12755 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Krylatov, A 2021, Equilibrium Traffic Flow Assignment in a Multi-subnet Urban Road Network. in P Pardalos, M Khachay & A Kazakov (eds), Mathematical Optimization Theory and Operations Research - 20th International Conference, MOTOR 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12755 LNCS, Springer Nature, pp. 3-16, 20th International Conference on Mathematical Optimization Theory and Operations Research , MOTOR 2021, Virtual, Online, Russian Federation, 5/07/21. https://doi.org/10.1007/978-3-030-77876-7_1

APA

Krylatov, A. (2021). Equilibrium Traffic Flow Assignment in a Multi-subnet Urban Road Network. In P. Pardalos, M. Khachay, & A. Kazakov (Eds.), Mathematical Optimization Theory and Operations Research - 20th International Conference, MOTOR 2021, Proceedings (pp. 3-16). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12755 LNCS). Springer Nature. https://doi.org/10.1007/978-3-030-77876-7_1

Vancouver

Krylatov A. Equilibrium Traffic Flow Assignment in a Multi-subnet Urban Road Network. In Pardalos P, Khachay M, Kazakov A, editors, Mathematical Optimization Theory and Operations Research - 20th International Conference, MOTOR 2021, Proceedings. Springer Nature. 2021. p. 3-16. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-77876-7_1

Author

Krylatov, Alexander. / Equilibrium Traffic Flow Assignment in a Multi-subnet Urban Road Network. Mathematical Optimization Theory and Operations Research - 20th International Conference, MOTOR 2021, Proceedings. editor / Panos Pardalos ; Michael Khachay ; Alexander Kazakov. Springer Nature, 2021. pp. 3-16 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{17420d73e61e49049eba1786c88a4621,
title = "Equilibrium Traffic Flow Assignment in a Multi-subnet Urban Road Network",
abstract = "Today urban road network of a modern city can include several subnets. Indeed, bus lanes form a transit subnet available only for public vehicles. Toll roads form a subnet, available only for drivers who ready to pay fees for passage. The common aim of developing such subnets is to provide better urban travel conditions for public vehicles and toll-paying drivers. The present paper is devoted to the equilibrium traffic flow assignment problem in a multi-subnet urban road network. We formulate this problem as a non-linear optimization program and prove that its solution corresponds to the equilibrium traffic assignment pattern in a multi-subnet road network. Moreover, we prove that obtained equilibrium traffic assignment pattern guarantees less or equal travel time for public vehicles and toll-paying drivers than experienced by all other vehicles. The findings of the paper contribute to the traffic theory and give fresh managerial insights for traffic engineers.",
keywords = "Multi-subnet urban road network, Non-linear optimization, Traffic assignment problem",
author = "Alexander Krylatov",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 20th International Conference on Mathematical Optimization Theory and Operations Research , MOTOR 2021 ; Conference date: 05-07-2021 Through 10-07-2021",
year = "2021",
doi = "10.1007/978-3-030-77876-7_1",
language = "English",
isbn = "9783030778750",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "3--16",
editor = "Panos Pardalos and Michael Khachay and Alexander Kazakov",
booktitle = "Mathematical Optimization Theory and Operations Research - 20th International Conference, MOTOR 2021, Proceedings",
address = "Germany",
url = "https://conference.icc.ru/event/3",

}

RIS

TY - GEN

T1 - Equilibrium Traffic Flow Assignment in a Multi-subnet Urban Road Network

AU - Krylatov, Alexander

N1 - Conference code: 20

PY - 2021

Y1 - 2021

N2 - Today urban road network of a modern city can include several subnets. Indeed, bus lanes form a transit subnet available only for public vehicles. Toll roads form a subnet, available only for drivers who ready to pay fees for passage. The common aim of developing such subnets is to provide better urban travel conditions for public vehicles and toll-paying drivers. The present paper is devoted to the equilibrium traffic flow assignment problem in a multi-subnet urban road network. We formulate this problem as a non-linear optimization program and prove that its solution corresponds to the equilibrium traffic assignment pattern in a multi-subnet road network. Moreover, we prove that obtained equilibrium traffic assignment pattern guarantees less or equal travel time for public vehicles and toll-paying drivers than experienced by all other vehicles. The findings of the paper contribute to the traffic theory and give fresh managerial insights for traffic engineers.

AB - Today urban road network of a modern city can include several subnets. Indeed, bus lanes form a transit subnet available only for public vehicles. Toll roads form a subnet, available only for drivers who ready to pay fees for passage. The common aim of developing such subnets is to provide better urban travel conditions for public vehicles and toll-paying drivers. The present paper is devoted to the equilibrium traffic flow assignment problem in a multi-subnet urban road network. We formulate this problem as a non-linear optimization program and prove that its solution corresponds to the equilibrium traffic assignment pattern in a multi-subnet road network. Moreover, we prove that obtained equilibrium traffic assignment pattern guarantees less or equal travel time for public vehicles and toll-paying drivers than experienced by all other vehicles. The findings of the paper contribute to the traffic theory and give fresh managerial insights for traffic engineers.

KW - Multi-subnet urban road network

KW - Non-linear optimization

KW - Traffic assignment problem

UR - http://www.scopus.com/inward/record.url?scp=85111400626&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/1acff2a7-21e5-3a2b-95a8-d095af15ecc5/

U2 - 10.1007/978-3-030-77876-7_1

DO - 10.1007/978-3-030-77876-7_1

M3 - Conference contribution

AN - SCOPUS:85111400626

SN - 9783030778750

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 3

EP - 16

BT - Mathematical Optimization Theory and Operations Research - 20th International Conference, MOTOR 2021, Proceedings

A2 - Pardalos, Panos

A2 - Khachay, Michael

A2 - Kazakov, Alexander

PB - Springer Nature

T2 - 20th International Conference on Mathematical Optimization Theory and Operations Research , MOTOR 2021

Y2 - 5 July 2021 through 10 July 2021

ER -

ID: 84462774