Year: 2018
Type: article
Abstract: We are investigating the use of incomplete observation data in order to predict the large-scale flow of people for major events such as the Olympic Games and to derive guidance measures in advance to prevent the occurrence of congestion.In this article, we introduce a spatio-temporal variable online prediction algorithm for forecasting congestion risk, and we explain our research and development efforts to utilize the algorithm.
Source: NTT technical review
Authors: Daisuke Sato, Hisako Shiohara, Masaru Miyamoto, Naonori Ueda
Institution: NTT (Japan)
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4386129692