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 travel demand estimation problem in a multi-subnet urban road network. We formulate this problem as a bi-level optimization program and prove that it has a unique solution under quite a natural assumption. Moreover, for the simple case of a road network topology with disjoint routes, we obtain important analytical results that allow us to analyze different scenarios appearing within the travel demand estimation process in a multi-subnet urban road network. The findings of the paper contribute to the traffic theory and give fresh managerial insights for traffic engineers.

Original languageEnglish
Title of host publicationLearning and Intelligent Optimization - 15th International Conference, LION 15, 2021, Revised Selected Papers
EditorsDimitris E. Simos, Panos M. Pardalos, Ilias S. Kotsireas
PublisherSpringer Nature
Pages183-197
Number of pages15
ISBN (Print)9783030921200
DOIs
StatePublished - 2021
Event15th International Conference on Learning and Intelligent Optimization, LION 15 2021 - Virtual, Online
Duration: 20 Jun 202125 Jun 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12931 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Learning and Intelligent Optimization, LION 15 2021
CityVirtual, Online
Period20/06/2125/06/21

    Research areas

  • Bi-level optimization, Multi-subnet urban road network, Travel demand estimation

    Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

ID: 91114933