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Khalid Ruzelan (University Utara Malaysia, Kedah, Malaysia), Nawawi Mohd Kamal Mohd (University Utara Malaysia, Kedah, Malaysia), Ishak Nurhanis (University Islam Sultan Azlan Shah, Perak, Malaysia), Baten Md Azizul (Shahjalal University of Science and Technology, Bangladesh)
Optimising Pedestrian Flow in a Topological Network using Various Pairwise Speed-Density Models
Operations Research and Decisions, 2023, vol. 33, no. 4, s. 53-69, rys., wykr., tab., bibliogr. 34 poz.
Analiza statystyczna, Statystyczne metody badania, Modele statystyczne
Statistical analysis, Statistical research methods, Statistical models
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 thatof 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. (original abstract)
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