Optimising pedestrian flow in a topological network using various pairwise speed-density models

• Autorzy: Khalid Ruzelan , Nawawi Mohd Kamal Mohd , Ishak Nurhanis , Baten Md Azizul

Identyfikatory

DOI

10.37190/ord230404

• Języki publikacji: EN

Abstrakty

EN

A speed-density model can be utilised to efficiently flow pedestrians in a network. However, how each model measures and optimises the performance of the network is rarely reported. Thus, this paper analyses and optimises the flow in a topological network using various speed-density models. Each model was first used to obtain the optimal arrival rates to all individual networks. The optimal value of each network was then set as a flow constraint in a network flow model. The network flow model was solved to find the optimal arrival rates to the source networks. The optimal values were then used to measure their effects on the performance of each available network. The performance results of the model were then compared with that of other speed-density models. The analysis of the results can help decision-makers understand how arrival rates propagate through traffic and determine the level of the network throughputs.

Słowa kluczowe

EN

topological network; speed-density model; optimal arrival rate; network flow model; pedestrian flow

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Operations Research and Decisions
• Rocznik: 2023
• Tom: Vol. 33, No. 4
• Strony: 53--69
• Opis fizyczny: Bibliogr. 34 poz., rys.

Twórcy

autor

Khalid Ruzelan

• Institute of Strategic Industrial Decision-Modelling (ISIDM), School of Quantitative Sciences, University Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia

• https://orcid.org/0000-0002-4283-0737

autor

Nawawi Mohd Kamal Mohd

• Institute of Strategic Industrial Decision-Modelling (ISIDM), School of Quantitative Sciences, University Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia

• https://orcid.org/0000-0003-4447-9941

autor

Ishak Nurhanis

• Faculty of Management and Information Technology, University Islam Sultan Azlan Shah, 33000 Kuala Kangsar, Perak, Malaysia

autor

Baten Md Azizul

• Department of Statistics, School of Physical Sciences, Shahjalal University of Science and Technology, Sylhet-3114, Bangladesh

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).