Pedestrian crowd flows in shared spaces: Investigating the impact of geometry based on micro and macro scale measures

Shahhoseini, Zahra; Sarvi, Majid

doi:10.1016/j.trb.2019.01.019

Cited by 65 publications

(18 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The occurrence of abnormal behaviour will affect the crowd flow process, disturb the crowd's movement direction and forward speed and other factors, cause an instantaneous density surge phenomenon, and inevitably affect the stability of the crowd flow system. Some typical merging scenes are shown in Figure 3, and the pictures are referenced from some references [14]. The pure crowd flow model provides the dynamic basis of crowd movement.…”

Section: Dynamic Model Of Abnormal Posture and Crowd Mergingmentioning

confidence: 99%

Dynamic model of macro crowd merging based on abnormal pedestrian posture

et al. 2022

View full text Add to dashboard Cite

Crowd merging is a complex process, and any sudden external or internal disturbance will destroy the stability of the crowd. The occurrence of abnormal behavior will affect the crowd flow process and inevitably affect the stability of the crowd flow system. The position information of the joint points is obtained through the OpenPose algorithm, and the kinematics characteristics of each node are studied. It is judged whether the number of pedestrians in the crowd and the scale of the building scene are greater than the empirical setting value based on engineering statistical data and expert experience. When the number of pedestrians is more than 2,000 and the total area of the passage is more than 2,000 square meters, the appropriate macro-dynamic model is selected. The Aw-Rascle (AR) fluid dynamics model is selected in this study. The joint point information obtained through the OpenPose is combined with the macroscopic fluid dynamics model to construct a macroscopic crowd flow dynamics model based on the pedestrian's abnormal posture.

show abstract

Section: Dynamic Model Of Abnormal Posture and Crowd Mergingmentioning

confidence: 99%

Dynamic model of macro crowd merging based on abnormal pedestrian posture

et al. 2022

View full text Add to dashboard Cite

show abstract

“…An agent is a socially interactive and intelligent individual, which is mostly used in the field of computer and artificial intelligence [36][37][38]. In the field of agent simulation, the agent model is used to give the intelligent and social personality of real pedestrians to the virtual pedestrians in the simulation model, which effectively improves the scientificity of pedestrian traffic simulation at microscopic scale [39][40][41].…”

Section: Agent-based Simulation Modelmentioning

confidence: 99%

Agent-Based Simulation of Virus Testing in Certain-Exposure Time through Community Health Service Centers’ Evaluation—A Case Study of Wuhan

Zhou¹,

Zhao

Zheng

et al. 2021

Healthcare

View full text Add to dashboard Cite

Short-term and large-scale full-population virus testing is crucial in containing the spread of the COVID-19 pandemic in China. However, the uneven distribution of health service facilities in terms of space and size may lead to prolonged crowding during testing, thus increasing the chance of virus cross-infection. Therefore, appropriate control of crowd exposure time in large-scale virus testing should be an important goal in the layout of urban community health facilities. This paper uses the Quanta concept and Wells-Riley model to define the “certain-exposure time” under low cross-infection rate. Then, an agent-based simulation model was used to simulate the reasonable screening efficiency of community health service facilities during certain-exposure time at different stages of the COVID-19 pandemic and under different screening processes. Eventually, the screening efficiency was evaluated for all community health service centers in Wuhan. During the early period of the pandemic, 23.13% of communities failed to complete virus testing of community residents within 2 h of certain-exposure time, leaving approximately 56.07% of the population unscreened; during the later period of the COVID-19 pandemic, approximately 53% of communities and 75% of residents could not be screened. The results can pinpoint the distribution of community health service centers with inadequate screening capacity, facilitate targeted policymaking and planning, and effectively curb COVID-19 cross-infection during screening.

show abstract

“…The open-source software PeTrack [37] is dedicated to the detection and tracking of pedestrians, both with and without markers. It is successfully used in several pedestrian dynamics calibration applications e.g., [15,[38][39][40][41]. The software uses top-view footage of cameras with low to mild radial distortion and detects pedestrians by searching for isolines of the brightness which are nearly ellipsoid.…”

Section: Related Workmentioning

confidence: 99%

Vision-Based Methodology for Characterizing the Flow of a High-Density Crowd on Footbridges: Strategy and Application

et al. 2020

View full text Add to dashboard Cite

Obtaining pedestrian trajectories by a vision-based methodology is receiving increasing attention in the literature over recent decades. Within the field of study of human-induced vibrations on footbridges, practical challenges arise when collecting the trajectories of high-density crowds during measurement campaigns. A cheap and robust methodology tackling these issues is presented and applied on a case study consisting of a real-life footbridge occupied with many pedestrians. A static camera setup consisting of low-cost action cameras with limited installation height is used. In addition, a drone camera was employed to collect a limited amount of footage. Pedestrians are equipped with colored hats and detected using a straightforward color-segmenting approach. The measurements are subjected to both systematic and random measurement errors. The influence of the former is theoretically investigated and is found to be of limited importance. The effect of the latter is minimized using a Kalman filter and smoother. A thorough assessment of the accuracy results reveals that the remaining uncertainty is in the order of magnitude of 2 to 3 cm, which is largely sufficient for the envisaged purpose. Although the methodology is applied on a specific case study in the present work, the conclusions regarding the obtained accuracy and employability are generic since the measurement setup can be extended to a footbridge with virtually any length. Moreover, the empirically obtained results of the presented case study should find use in the calibration of pedestrian dynamic models that describe the flow of high-density crowds on footbridges and the further development of load models describing crowd-induced loading.

show abstract

Pedestrian crowd flows in shared spaces: Investigating the impact of geometry based on micro and macro scale measures

Cited by 65 publications

References 72 publications

Dynamic model of macro crowd merging based on abnormal pedestrian posture

Dynamic model of macro crowd merging based on abnormal pedestrian posture

Agent-Based Simulation of Virus Testing in Certain-Exposure Time through Community Health Service Centers’ Evaluation—A Case Study of Wuhan

Vision-Based Methodology for Characterizing the Flow of a High-Density Crowd on Footbridges: Strategy and Application

Contact Info

Product

Resources

About