Bus Crowdedness Sensing System Based on Carbon Dioxide Concentration
20th ACM Conference on Embedded Networked Sensor Systems, SenSys 2022
; : 806-807, 2022.
Article
in English
| Scopus | ID: covidwho-2263474
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. © 2022 Owner/Author.
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
20th ACM Conference on Embedded Networked Sensor Systems, SenSys 2022
Year:
2022
Document Type:
Article
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