Abstract
We introduce “Moving Light”: an unprecedented real-life crowd steering experiment that involved about 140.000 participants among the visitors of the Glow 2017 Light Festival (Eindhoven, NL). Moving Light targets one outstanding question of paramount societal and technological importance: “can we seamlessly and systematically influence routing decisions in pedestrian crowds?” Establishing effective crowd steering methods is extremely relevant in the context of crowd management, e.g. when it comes to keeping floor usage within safety limits (e.g. during public events with high attendance) or at designated comfort levels (e.g. in leisure areas). In the Moving Light setup, visitors walking in a corridor face a choice between two symmetric exits defined by a large central obstacle. Stimuli, such as arrows, alternate at random and perturb the symmetry of the environment to bias choices. While visitors move in the experiment, they are tracked with high space and time resolution, such that the efficiency of each stimulus at steering individual routing decisions can be accurately evaluated a posteriori. In this contribution, we first describe the measurement concept in the Moving Light experiment and then we investigate quantitatively the steering capability of arrow indications.
Highlights
Developing effective management strategies for the motion of pedestrian crowds is a compelling issue in the course towards highest safety and comfort standards in civil infrastructures
In a week-long campaign held during Eindhoven Glow Festival 2017, we displayed stimuli to bias the decision of the over 140.000 visitors of the exhibit for one of the two otherwise symmetric exits
Gathering high volume of trajectories is a crucial aspect in our investigation and aims at ensuring high statistical resolution in the observations to build robust conclusions encompassing the randomness of individual behaviours
Summary
Developing effective management strategies for the motion of pedestrian crowds is a compelling issue in the course towards highest safety and comfort standards in civil infrastructures. Quantitative real-life analyses of the effectiveness of visual stimuli at influencing individual routing decisions are a must toward automated steering. We introduce here “Moving Light”, a real-life experiment in which we targeted, in quantitative terms, a prototypical case of automated crowd steering: swaying – by means of visual stimuli – the route choice of pedestrians between two symmetric exits (Figure 1).
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