Optimal Crowd Navigation via Spatio-temporal Multidimensional Collective Data Analysis
Futoshi Naya, Masaru Miyamoto, Naonori Ueda · NTT technical review · 2017
We introduce technology for predicting the risk of congestion in the near future from real-time observational data of people or automobile flows and for automatically deriving an optimal crowd navigation plan online to avoid that risk.This technology can deal with unforeseen situations by performing simulations based on machine learning.Our aim in establishing this technology is to help construct a safe and secure and more comfortable social infrastructure.