JSAI2018

Presentation information

Poster presentation

General Session » Interactive

[4Pin1] インタラクティブ(2)

Fri. Jun 8, 2018 9:00 AM - 10:40 AM Room P (4F Emerald Lobby)

9:00 AM - 10:40 AM

[4Pin1-39] Estimation model of bustle of shopping streets by integration of IoT sensor data

〇Aoi Yoshino1, Yuya Ieiri1, Reiko Hishiyama1 (1. Waseda University)

Keywords:IoT

In recent years, the decline of shopping districts is regarded as a problem. However, the situation that is said to be declining, bustling is not clear. IoT is used to quantitatively show this situation. In this research, IoT sensors are installed according to the characteristics of shops in shopping districts. By analyzing the collected data, we clarify the data combination that can explain the bustle of the shopping street. As a result, it became possible to quantitatively express bustle of shopping streets by using Iot sensor. And I was able to discover the periodicity of bustling. By increasing the number of stores to be installed, it is expected that more sophisticated analysis on bustling will be possible.