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 languageEnglish
Title of host publicationMathematical Optimization Theory and Operations Research - 20th International Conference, MOTOR 2021, Proceedings
EditorsPanos Pardalos, Michael Khachay, Alexander Kazakov
PublisherSpringer Nature
Pages3-16
Number of pages14
ISBN (Print)9783030778750
DOIs
StatePublished - 2021
Event20th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2021 - Irkutsk, Russian Federation
Duration: 5 Jul 202110 Jul 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12755 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2021
Country/TerritoryRussian Federation
CityIrkutsk
Period5/07/2110/07/21

    Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

    Research areas

  • Multi-subnet urban road network, Non-linear optimization, Traffic assignment problem

ID: 84462774