170 citations · 354 across the 5 of their papers we have counts for
5 papers
How many infections of COVID-19 there will be in the "Diamond Princess"-Predicted by a virus transmission model based on the simulation of crowd flow
Zhiming Fang, Zhongyi Huang, Xiaolian Li +5
Objectives: Simulate the transmission process of COVID-19 in a cruise ship, and then to judge how many infections there will be in the 3711 people in the "Diamond Princess" and ana…
Comparing the route-choice behavior of pedestrians around obstacles in a virtual experiment and a field study
Hongliu Li, Jun Zhang, Long Xia +2
Pedestrians often need to decide between different routes they can use to reach their intended destinations, both during emergencies and in their daily lives. This route-choice beh…
Artificial Neural Network Based Modeling on Unidirectional and Bidirectional Pedestrian Flow at Straight Corridors
Xuedan Zhao, Long Xia, Jun Zhang +1
Pedestrian modeling is a good way to predict pedestrian movement and thus can be used for controlling pedestrian crowds and guiding evacuations in emergencies. In this paper, we pr…
A comparative study on the bottleneck flow between preschool children and adults under different movement motivations
Hongliu Li, Jun Zhang, Libing Yang +2
Understanding on children's movement characteristics is significant to improve their safety levels especially under emergencies. In this work, we performed laboratory experiment to…
Pedestrian dynamics in single-file movement of crowd with different age compositions
Shuchao Cao, Jun Zhang, Daniel Salden +3
An aging population is bringing new challenges to the management of escape routes and facility design in many countries. This paper investigates pedestrian movement properties of c…