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

Khalid Ruzelan, Nawawi Mohd Kamal Mohd, Ishak Nurhanis, Baten Md Azizul

Operations Research and Decisions

2023

Vol. 33, No. 4

53--69

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.

The distribution of marshalling work of industrial and mainline rail transport

Borodin A., Panin V.

Transport Problems

2018

T. 13, z. 4

37--46

The article discusses the issue of effective distribution of work on formation of train network between the stations of industrial and mainline rail transport. The analysis is worked out of difficulties in the interaction of technological systems of railway transport of common and uncommon use and risks of the transport stream delays. The strategy for sorting of wagons and a complex of interconnected mathematical models is developed. The proposed solution method is based on step-by-step distribution of traffic volumes over the network through valid assignments of trains with subsequent calculation of the compromise management, taking into account the interests of each owner of transport infrastructure and each individual member of the transport and logistics chains.