Modelling and Optimization of Commuter Flows as Queuing System Considering Customer and Environmental Costs: a Case Study
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Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023. Hrsg. / Daniel Drotos; Rabab Benotsmane; Attila Karoly Varga; Attila Trohak; Jozsef Vasarhelyi. Institute of Electrical and Electronics Engineers Inc., 2023. S. 495-500 (Proceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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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 -