Understanding the collective dynamics of crowd movements during stressful emergency situations is central to reducing the risk of deadly crowd disasters. Yet, their systematic experimental study remains a challenging open problem due to ethical and methodological constraints.
In a new study published in PNAS, we studied how people form and revise their perception of a risk, and how their evaluation of a danger is influenced by the judgment of their peers.
Following an experimental study that we have recently conducted about the mechanisms of opinion change, two important trends have been identified.
Following the experiment I described in a previous post, one side question that was raised concerns the relevance of the confidence level as an indicator of accuracy. That is, we wanted to know if it’s a good strategy to imitate people expressing a high level of confidence.
Like many people, I believe that my personal opinions are the results of a careful, rational and independant thinking process. Well, like many people, I’m partly wrong…
Recently, I have published a new article in PLoS Computational Biology entitled “Traffic Instabilities in Self-Organized Pedestrian Crowds“. This article is the result of the joint efforts of four different research groups: The CRCA in Toulouse (to which I was affiliated at that time), the INRIA-Bunraku in Rennes, the IMT in Toulouse and the LPT …
Here we go! It’s Christmas again! And as usual, commercial streets, shops, and malls are getting totally crowded over the week-end. Bad news? Not for everybody…For me, it’s the best moment to go fishing some data for my research. Here is a short sample of what I got today: a very dense bidirectional flow of …
Today, I would like to talk about my very first research project. I undertook it during the first year of my PhD thesis, at the University of Toulouse and at the ETH Zürich. The main question we addressed in this work is very simple: How do people avoid each other?
It is pretty surprising to notice that current research about pedestrian flows always assumes that people are lonely walkers.
