Modelling and Optimization of Commuter Flows as Queuing System Considering Customer and Environmental Costs: a Case Study

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • Lisa Zora Hering
  • Paolo Mercorelli
  • Murillo Ferreira Dos Santos
  • Fernanda Mara Fernandes

Passenger flows in transportation systems need to be controlled in such a way that costs are minimized. To be able to do it, discrete event systems can be used for the first model and then optimize in transportation systems. Queuing systems in particular are often the means of choice to model transportation systems in order to minimize costs. In the past, the focus has been on minimizing customer or supplier costs. In this paper, the theory of queuing systems is applied to model commuter flows between a fixed origin and destination, considering the L-BFGS-B optimization algorithm. It is known that limited-memory BFGS (L-BFGS or LM-BFGS) is an optimization algorithm in the family of quasi-Newton methods and that the L-BFGS-B algorithm extends L-BFGS to handle simple box constraints variables. Due to climate change, environmental factors are increasingly important, which is why not only customer costs but also environmental costs are considered in the novel model, presented in this paper.

Original languageEnglish
Title of host publicationProceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023
EditorsDaniel Drotos, Rabab Benotsmane, Attila Karoly Varga, Attila Trohak, Jozsef Vasarhelyi
Number of pages6
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication date12.06.2023
Pages495-500
ISBN (print)979-8-3503-1023-8
ISBN (electronic)979-8-3503-1022-1
DOIs
Publication statusPublished - 12.06.2023
Event24th International Carpathian Control Conference - Sinaia, Romania
Duration: 12.05.202314.05.2023
Conference number: 24

Bibliographical note

Funding Information:
ACKNOWLEDGMENT The authors acknowledge support from Leuphana University of Lueneburg, CEFET-MG, and Deutscher Akademischer Austauschdienst (DAAD). This work was inspired by the master lecture entitled ”Optimization Techniques” within the scope of the Complementary Studies Programme at Leuphana University of Lueneburg during the summer semester of 2021 held by Prof. Dr.-Ing Paolo Mercorelli. In this framework, students can explore other disciplinary and methodological approaches from the second-semester on-wards, focusing on additional aspects in parallel with their subjects and giving them the opportunity to sharpen skills across disciplines.

Publisher Copyright:
© 2023 IEEE.

    Research areas

  • Commuter Flow, L-BFGS-B Optimization Algorithm, Queuing Systems
  • Engineering