Bus Crowdedness Sensing System Based on Carbon Dioxide Concentration

被引：1

作者：

Huang, Wenhao ^{[1
]}

Tsuge, Akira ^{[1
]}

Chen, Yin ^{[2
]}

Okoshi, Tadashi ^{[1
]}

Nakazawa, Jin ^{[1
]}

机构：

[1] Keio Univ, Fujisawa, Kanagawa, Japan

[2] Reitaku Univ, Kashiwa, Chiba, Japan

来源：

PROCEEDINGS OF THE TWENTIETH ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS, SENSYS 2022 | 2022年

关键词：

Crowdedness sensing; Carbon dioxide sensor; Ubiquitous computing; Smart cities;

D O I：

10.1145/3560905.3568051

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Crowdedness sensing of buses is playing an important role in the disease control of COVID-19 and bus resource scheduling. This research analyzes the relationship between carbon dioxide concentration, bus environment and the number of passengers by linear regression. Our prototype system collects the data of bus environment and carbon dioxide concentration to estimate the number of passengers in real time. By collecting the sensing data from a shuttle bus of university campus, we experimentally evaluate the feasibility and sensing performance of the crowdedness estimation model.

引用

页码：806 / 807

页数：2

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