Analyzing and optimizing pedestrian flow through a topological network based onM/G/C/Cand network flow approaches

2015 ◽  
Vol 50 (1) ◽  
pp. 96-119 ◽  
Author(s):  
Ruzelan Khalid ◽  
Md. Azizul Baten ◽  
Mohd. Kamal Mohd. Nawawi ◽  
Nurhanis Ishak
Keyword(s):  
Network Flow ◽  
Pedestrian Flow ◽  
Topological Network ◽  
Flow Through

scholarly journals Analyzing and Optimizing Pedestrian Flow through a Single Route in a Topological Network

2018 ◽  
Vol 7 (2.14) ◽  
pp. 43 ◽  
Author(s):  
Ruzelan Khalid ◽  
Mohd Kamal Mohd. Nawawi ◽  
Md Azizul Baten ◽  
Nurhanis Ishak
Keyword(s):  
Blocking Probability ◽  
Arrival Rate ◽  
Optimal Performance ◽  
Pedestrian Flow ◽  
Topological Network ◽  
State Dependent ◽  
Long Run ◽  
Shortest Route ◽  
Travelling Time ◽  
Flow Through

In emergency cases, people are typically recommended to use the shortest route to minimize their travelling time.  This recommendation may however not yield the optimal performance in the long run since the route may be over utilized after a certain point of time and this situation eventually causes heavy blockages.  This paper thus measures the pedestrian flow performance through all available single routes in a topological network based on relevant arrival rates.  The performance was measured using an M/G/C/C state dependent queuing approach which dynamically models pedestrians’ walking speed in relation to their current density in a route.  The analysis was based on an imaginary network consisting of various routes and topologies.  For each route, its performance in terms of the throughput, blocking probability, expected number of pedestrians and expected travel time was first evaluated.  The performance was then compared to each other and also compared to the flow performance if all available routes were utilized.  The results indicated that the shortest route did not necessarily generate the optimal throughput and that the utilization of all available routes to flow pedestrians generated better performance.  The optimal performance could be obtained if the arrival rate was controlled at a certain level.  

Empirical Data for Pedestrian Flow Through Bottlenecks

2009 ◽  
pp. 189-199 ◽  
Author(s):  
Armin Seyfried ◽  
Bernhard Steffen ◽  
Andreas Winkens ◽  
Tobias Rupprecht ◽  
Maik Boltes ◽  
...  
Keyword(s):  
Empirical Data ◽  
Pedestrian Flow ◽  
Flow Through

scholarly journals Pedestrian flow through multiple bottlenecks

2012 ◽  
Vol 86 (2) ◽  
Author(s):  
Takahiro Ezaki ◽  
Daichi Yanagisawa ◽  
Katsuhiro Nishinari
Keyword(s):  
Pedestrian Flow ◽  
Flow Through

A crowd movement model for pedestrian flow through bottlenecks

2016 ◽  
Vol 8 (1-2) ◽  
pp. 1-15 ◽  
Author(s):  
Bachar Kabalan ◽  
Pierre Argoul ◽  
Aissam Jebrane ◽  
Gwendal Cumunel ◽  
Silvano Erlicher
Keyword(s):  
Pedestrian Flow ◽  
Movement Model ◽  
Flow Through ◽  
Crowd Movement

Macroscopic Simulation of Pedestrian Flow through a Bottleneck

2011 ◽  
Vol 97-98 ◽  
pp. 1168-1175 ◽  
Author(s):  
Yan Qun Jiang ◽  
Peng Zhang
Keyword(s):  
Traffic Congestion ◽  
Mass Conservation ◽  
Flow Speed ◽  
Conservation Equation ◽  
Comfort Level ◽  
Macroscopic Model ◽  
Pedestrian Flow ◽  
Macroscopic Simulation ◽  
Flow Through ◽  
Mass Conservation Equation

The paper deals with the macroscopic type modelling of the unidirectional pedestrian flow moving through a corridor with a bottleneck. The macroscopic model of pedestrian flow is the two-dimensional Lighthill-Whitham-Richards model described as a mass conservation equation. The characteristic feature of pedestrian route choice is that pedestrians in the corridor try to minimize the instantaneous travel time and improve the comfort level. The model equation is solved numerically by the discontinuous Galerkin method. Numerical results visualize the ability of the model to predict macroscopic characteristics of pedestrian flow through bottlenecks, i.e. the spatial distribution of the flow speed and density, as well as the formation and dissipation of traffic congestion in the corridor. They also validate that congestion is caused by the limited capacity of the bottleneck.

Exploring the behavior of self-organized queuing for pedestrian flow through a non-service bottleneck

2021 ◽  
Vol 562 ◽  
pp. 125186
Author(s):  
Yifan Zhuang ◽  
Zhigang Liu ◽  
Andreas Schadschneider ◽  
Lizhong Yang ◽  
Jiajun Huang
Keyword(s):  
Pedestrian Flow ◽  
Self Organized ◽  
Flow Through

scholarly journals Characterization of Collision Avoidance in Pedestrian Crowds

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Dawei Zhang ◽  
Haitao Zhu ◽  
Shi Qiu ◽  
Boyan Wang
Keyword(s):  
Phase Change ◽  
Emergency Evacuation ◽  
Pedestrian Flow ◽  
Crowd Management ◽  
Proposed Model ◽  
Negative Effect ◽  
Lane Formation ◽  
Flow Through ◽  
Pedestrian Crowd

The avoidance behavior of pedestrians was characterized in the present paper by simulating the movement of crowds in both unidirectional and bidirectional pedestrian flow. A phase change of alternative lane formation observed in real bidirectional pedestrian flows has been studied, where pedestrians tended to evade individuals in counterflow and simultaneously keep a certain distance from each other in the uniform pedestrian flow when the counterflow disappeared. What is more, the comparison between the effect of evading and pushing behavior on evacuation has been investigated in the room egress scenario. Additionally, the evading and overtaking behavior of fast pedestrians have also been simulated in heterogeneous crowds. The performance of the proposed model was compared to the experimental data and the results obtained using other evacuation models. Numerical results showed that both the phase change of alternative lane formation in bidirectional pedestrian flow and the effective evading behavior in unidirectional pedestrian flow were conductive to reduce the evacuation time of pedestrian crowds. Even though pushing behavior of fast pedestrians seemed to improve the flow through the wide exit, it might lead to the panic and other negative effect on the crowds, such as crowds trample. The proposed model in this paper could provide a theoretical basis for the pedestrian crowd management during emergency evacuation.

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