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.

真实世界的拓扑网络由沿其源节点的多个入口组成。将适当百分比的行人从这些入口路由到具有相关到达率的特定可用路线，将改善网络的性能。本文提出了一个框架，用于找到从所有可用的入口和路线到下游节点的行人的最佳到达率，以最大化网络的吞吐量。到达率和移动方向的计算基于M / G / C / C分析和仿真模型以及网络流模型，并考虑沿源节点的入口的实际距离。该框架已在马来西亚马来西亚大学的Tuanku Syed Putra Hall进行了测试。记录和讨论了其可用节点的性能的广泛分析，尤其是在可获得的最佳吞吐量方面。定量结果表明，当行人到达所有可用入口的到达率及其移动方向控制在一定范围内时，大厅的吞吐量将得到优化。