mailto:uumlib@uum.edu.my 24x7 Service; AnyTime; AnyWhere

Optimal routing of pedestrian flow in a complex topological network with multiple entrances and exits

Khalid, Ruzelan and Mohd Nawawi, Mohd Kamal and Kawsar, Luthful A. and Ghani, Noraida A. and Kamil, Anton A. and Mustafa, Adli (2020) Optimal routing of pedestrian flow in a complex topological network with multiple entrances and exits. International Journal of Systems Science, 51 (8). pp. 1325-1352. ISSN 0020-7721

[thumbnail of 10.1080@00207721.2020.1756524.pdf] PDF
Restricted to Registered users only

Download (4MB) | Request a copy

Abstract

A real-world topological network consists of multiple entrances along its source nodes. Routing appropriate percentages of pedestrians from these entrances to the particular available routes with relevant arrival rates will improve the network’s performance. This paper presents a framework for finding the optimal arrival rates of pedestrians from all available entrances and routes to downstream nodes maximising the network’s throughput. The calculation of the arrival rates and movement directions is based on M/G/C/C analytical and simulation models and the network flow model and considers the real distances of the entrances along the source nodes. The framework was tested on the Tuanku Syed Putra Hall, Universiti Sains Malaysia, Malaysia. Extensive analyses of the performances of its available nodes especially on the achievable optimal throughputs were documented and discussed. Quantitative results show that the hall’s throughput is optimised when pedestrians’ arrival rates to all the available entrances and their movement directions are controlled within certain ranges.

Item Type: Article
Uncontrolled Keywords: M/G/C/C; network flow model; simulation; facilities planning and design; queuing networks
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Quantitative Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 02 Jul 2020 02:05
Last Modified: 02 Jul 2020 02:05
URI: https://repo.uum.edu.my/id/eprint/27163

Actions (login required)

View Item View Item