Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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.
Язык оригинала | английский |
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Название основной публикации | Learning and Intelligent Optimization - 15th International Conference, LION 15, 2021, Revised Selected Papers |
Редакторы | Dimitris E. Simos, Panos M. Pardalos, Ilias S. Kotsireas |
Издатель | Springer Nature |
Страницы | 183-197 |
Число страниц | 15 |
ISBN (печатное издание) | 9783030921200 |
DOI | |
Состояние | Опубликовано - 2021 |
Событие | 15th International Conference on Learning and Intelligent Optimization, LION 15 2021 - Virtual, Online Продолжительность: 20 июн 2021 → 25 июн 2021 |
Название | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Том | 12931 LNCS |
ISSN (печатное издание) | 0302-9743 |
ISSN (электронное издание) | 1611-3349 |
конференция | 15th International Conference on Learning and Intelligent Optimization, LION 15 2021 |
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Город | Virtual, Online |
Период | 20/06/21 → 25/06/21 |
ID: 91114933