<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The increase of the utilization of public rail transportations is searched in directions for redistribution of the passenger travels between rail and bus transportation. The rail transport benefits by redistribution of the transportation flows on paths, predominantly supported by rails. The redistribution of the transportation is formalized by bi-level optimization problem. The upper level optimization estimates the maximal flow, which can be transported through a transportation network, supported both by bus and rail transports. The lower level optimization gives priority to the rail transport by decreasing the costs of flow distribution, using rail transport. This bi-level optimization problem was applied for the case of optimization of the rail exploitation in Bulgaria, defining priorities in transportation of the National transport scheme.</p></abstract>

The increase of the utilization of public rail transportations is searched in directions for redistribution of the passenger travels between rail and bus transportation. The rail transport benefits by redistribution of the transportation flows on paths, predominantly supported by rails. The redistribution of the transportation is formalized by bi-level optimization problem. The upper level optimization estimates the maximal flow, which can be transported through a transportation network, supported both by bus and rail transports. The lower level optimization gives priority to the rail transport by decreasing the costs of flow distribution, using rail transport. This bi-level optimization problem was applied for the case of optimization of the rail exploitation in Bulgaria, defining priorities in transportation of the National transport scheme.

Bi-Level Model for Public Rail Transportation under Incomplete Data

Institute of Information and Communication Technologies

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Bi-Level Model for Public Rail Transportation under Incomplete Data"}

The increase of the utilization of public rail transportations is searched in directions for redistribution of the passenger travels between rail and bus...

Bi-Level Model for Public Rail Transportation under Incomplete Data

Data publikacji: 04 paź 2017

Zakres stron: 75 - 91

DOI: https://doi.org/10.1515/cait-2017-0031

Słowa kluczowe
Bi-level optimization, rail transportation, max-flow problem, network design

© 2017 Kristina Pavlova et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Bi-Level Model for Public Rail Transportation under Incomplete Data

Data publikacji: 04 paź 2017

Zakres stron: 75 - 91

DOI: https://doi.org/10.1515/cait-2017-0031

Słowa kluczoweBi-level optimization, rail transportation, max-flow problem, network design

© 2017 Kristina Pavlova et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
Bi-level optimization, rail transportation, max-flow problem, network design