Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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.
Original language | English |
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Title of host publication | Mathematical Optimization Theory and Operations Research - 20th International Conference, MOTOR 2021, Proceedings |
Editors | Panos Pardalos, Michael Khachay, Alexander Kazakov |
Publisher | Springer Nature |
Pages | 3-16 |
Number of pages | 14 |
ISBN (Print) | 9783030778750 |
DOIs | |
State | Published - 2021 |
Event | 20th International Conference on Mathematical Optimization Theory and Operations Research , MOTOR 2021 - Virtual, Online, Russian Federation Duration: 5 Jul 2021 → 10 Jul 2021 Conference number: 20 https://conference.icc.ru/event/3 |
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12755 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference | 20th International Conference on Mathematical Optimization Theory and Operations Research , MOTOR 2021 |
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Abbreviated title | MOTOR 2021 |
Country/Territory | Russian Federation |
City | Virtual, Online |
Period | 5/07/21 → 10/07/21 |
Internet address |
ID: 84462774