Research output

Inland Waterway Efficiency Through Skipper Collaboration and Joint Speed Optimization

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Abstract

We address the problem of minimizing the aggregated fuel consumption by the vessels in an inland waterway (a river) with a single lock. The fuel consumption of a vessel depends on its velocity and the slower it moves, the less fuel it consumes. Given entry times of the vessels into the waterway and the deadlines before which they need to leave the waterway, we decide on optimal velocities of the vessels that minimize their private fuel consumption. Presence of the lock and possible congestions on the waterway make the problem computationally challenging. First, we prove that in general Nash equilibria might not exist, i.e., if there is no supervision on the vessels velocities, there might not exist a strategy profile from which no vessel can unilaterally deviate to decrease its private fuel consumption. Next, we introduce simple supervision methods to guarantee existence of Nash equilibria. Unfortunately, though a Nash equilibrium can be computed, the aggregated fuel consumption of such a stable solution is high compared to the consumption in a social optimum, where the total fuel consumption is minimized. Therefore, we propose a mechanism involving payments between vessels, guaranteeing Nash equilibria while minimizing the fuel consumption. This mechanism is studied for both the offline setting, where all information is known beforehand, and online setting, where we only know the entry time and deadline of a vessel when it enters the waterway.

    Research areas

  • Lock scheduling, Congestions, Social Welfare, Mechanism design, Online scheduling
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Details

Original languageEnglish
Title of host publicationMathematical Optimization Theory and Operations Research
Subtitle of host publicationMOTOR 2019: International Conference on Mathematical Optimization Theory and Operations Research
EditorsMichael Khachay, Yury Kochetov, Panos M. Pardalos
Place of PublicationCham
PublisherSpringer
Pages202-217
Number of pages16
Volume11548
ISBN (Electronic)978-3-030-22629-9
ISBN (Print)978-3-030-22628-2
DOIs
Publication statusPublished - 12 Jun 2019
EventMathematical Optimization Theory and Operations Research: 18th International Conference - Ekaterinburg, Russian Federation
Duration: 8 Jul 201912 Jul 2019
Conference number: 18
http://motor2019.uran.ru/index.html

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume11548

Conference

ConferenceMathematical Optimization Theory and Operations Research
Abbreviated titleMOTOR 2019
CountryRussian Federation
CityEkaterinburg
Period8/07/1912/07/19
Internet address