activity
20152018
most citedPhysics-based modeling and data representation of pedestrian pairwise interactions

61 citations · 122 across the 5 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2018★ 61 cited

Physics-based modeling and data representation of pedestrian pairwise interactions

Alessandro Corbetta, Jasper Meeusen, Chung-min Lee +2

The possibility to understand and to quantitatively model the physics of the interactions between pedestrians walking in crowds has compelling relevant applications, e.g. related t…

physics.soc-ph2016★ 46 cited

Fluctuations around mean walking behaviours in diluted pedestrian flows

Alessandro Corbetta, Chung-min Lee, Roberto Benzi +2

Understanding and modeling the dynamics of pedestrian crowds can help with designing and increasing the safety of civil facilities. A key feature of crowds is its intrinsic stochas…

physics.soc-ph2016★ 11 cited

Continuous measurements of real-life bidirectional pedestrian flows on a wide walkway

Alessandro Corbetta, Jasper Meeusen, Chung-min Lee +1

Employing partially overlapping overhead \kinectTMS sensors and automatic pedestrian tracking algorithms we recorded the crowd traffic in a rectilinear section of the main walkway…

physics.soc-ph2016★ 3 cited

Eulerian vs. Lagrangian analyses of pedestrian dynamics asymmetries in a staircase landing

Alessandro Corbetta, Chung-min Lee, Adrian Muntean +1

Real-life, out-of-laboratory, measurements of pedestrian movements allow extensive and fully-resolved statistical analyses. However, data acquisition in real-life is subjected to t…

physics.soc-ph2015★ 1 cited

Asymmetric pedestrian dynamics on a staircase landing from continuous measurements

Alessandro Corbetta, Chung-min Lee, Adrian Muntean +1

We investigate via extensive experimental data the dynamics of pedestrians walking in a corridor-shaped landing in a building at Eindhoven University of Technology. With year-long…