Abstract
Recent improvements in crowd sensing and dynamic signage are paving the way for automatic crowd control, in which real-time information is used to steer crowds of people. However, little is known on the impact that automatic information provision has on crowd dynamics. In this study, pedestrians moving in a two-lane fork loop were given different types of information and were guided using different strategies. Our analysis focused on which combination had the best performance and was perceived as comfortable from the participants. Results indicate that a human guidance is preferred when comfort is concerned, but providing real-time traffic information is more efficient in terms of pedestrian flow. It is speculated that the processing of a large volume of information limits the perceived comfort when real-time data are provided. As a consequence, people prefer the less effective human guidance in which decision-making is entrusted into others. With this said, the speculative nature of this conclusion puts emphasis on future studies which will need to investigate more in detail how information provision affects pedestrians’ behavior and comfort perception in public spaces.
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Acknowledgements
The authors would like acknowledge the help from the members of the Nishinari laboratory in organizing the experiments. This work was supported by JST-Mirai Program Grant Number JPMJMI17D4, Japan.
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Feliciani, C., Murakami, H., Shimura, K., Nishinari, K. (2020). Experimental Investigation on Information Provision Methods and Guidance Strategies for Crowd Control. In: Zuriguel, I., Garcimartin, A., Cruz, R. (eds) Traffic and Granular Flow 2019. Springer Proceedings in Physics, vol 252. Springer, Cham. https://doi.org/10.1007/978-3-030-55973-1_8
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