Bus Crowdedness Sensing System Based on Carbon Dioxide Concentration

Wenhao Huang; Akira Tsuge; Yin Chen; Tadashi Okoshi; Jin Nakazawa

doi:10.1145/3560905.3568051

Bus Crowdedness Sensing System Based on Carbon Dioxide Concentration

Wenhao Huang, Akira Tsuge, Yin Chen, Tadashi Okoshi, Jin Nakazawa

環境情報学部

研究成果: Conference contribution

抄録

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.

本文言語	English
ホスト出版物のタイトル	SenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems
出版社	Association for Computing Machinery, Inc
ページ	806-807
ページ数	2
ISBN（電子版）	9781450398862
DOI	https://doi.org/10.1145/3560905.3568051
出版ステータス	Published - 2022 11月 6
イベント	20th ACM Conference on Embedded Networked Sensor Systems, SenSys 2022 - Boston, United States 継続期間: 2022 11月 6 → 2022 11月 9

出版物シリーズ

名前	SenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems

Conference

Conference	20th ACM Conference on Embedded Networked Sensor Systems, SenSys 2022
国/地域	United States
City	Boston
Period	22/11/6 → 22/11/9

ASJC Scopus subject areas

コンピュータネットワークおよび通信
制御およびシステム工学
電子工学および電気工学

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

文献へのアクセス

10.1145/3560905.3568051

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引用スタイル

Huang, W., Tsuge, A., Chen, Y., Okoshi, T., & Nakazawa, J. (2022). Bus Crowdedness Sensing System Based on Carbon Dioxide Concentration. In SenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems (pp. 806-807). (SenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems). Association for Computing Machinery, Inc. https://doi.org/10.1145/3560905.3568051

Bus Crowdedness Sensing System Based on Carbon Dioxide Concentration. / Huang, Wenhao; Tsuge, Akira; Chen, Yin その他.
SenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems. Association for Computing Machinery, Inc, 2022. p. 806-807 (SenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems).

研究成果: Conference contribution

Huang, W, Tsuge, A, Chen, Y, Okoshi, T & Nakazawa, J 2022, Bus Crowdedness Sensing System Based on Carbon Dioxide Concentration. in SenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems. SenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, Association for Computing Machinery, Inc, pp. 806-807, 20th ACM Conference on Embedded Networked Sensor Systems, SenSys 2022, Boston, United States, 22/11/6. https://doi.org/10.1145/3560905.3568051

Huang W, Tsuge A, Chen Y, Okoshi T , Nakazawa J. Bus Crowdedness Sensing System Based on Carbon Dioxide Concentration. In SenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems. Association for Computing Machinery, Inc. 2022. p. 806-807. (SenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems). doi: 10.1145/3560905.3568051

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abstract = "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.",

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Bus Crowdedness Sensing System Based on Carbon Dioxide Concentration

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出版物シリーズ

Conference

ASJC Scopus subject areas

UN SDG

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