TY - CHAP

T1 - Modelling and Optimization of Commuter Flows as Queuing System Considering Customer and Environmental Costs

T2 - 24th International Carpathian Control Conference

AU - Hering, Lisa Zora

AU - Mercorelli, Paolo

AU - Dos Santos, Murillo Ferreira

AU - Fernandes, Fernanda Mara

N1 - Conference code: 24

PY - 2023/6/12

Y1 - 2023/6/12

N2 - 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.

AB - 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.

KW - Commuter Flow

KW - L-BFGS-B Optimization Algorithm

KW - Queuing Systems

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85166488299&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/55f1f1ef-9936-3e68-9481-a402fa4a0f42/

U2 - 10.1109/ICCC57093.2023.10178945

DO - 10.1109/ICCC57093.2023.10178945

M3 - Article in conference proceedings

AN - SCOPUS:85166488299

SN - 979-8-3503-1023-8

T3 - Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023

SP - 495

EP - 500

BT - Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023

A2 - Drotos, Daniel

A2 - Benotsmane, Rabab

A2 - Varga, Attila Karoly

A2 - Trohak, Attila

A2 - Vasarhelyi, Jozsef

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 12 May 2023 through 14 May 2023

ER -