AI-based traffic counting: A Case Study in Vietnam
2022 International Conference on Advanced Computing and Analytics, ACOMPA 2022
; : 34-39, 2022.
Article
in English
| Scopus | ID: covidwho-2233767
ABSTRACT
Ho Chi Minh City, particularly Vietnamese cities in general, is so busy and crowded since tremendous numbers of motorbikes move on roads. Ho Chi Minh City leaders have encountered several challenges in fully understanding and effectively dealing with problems of urban traffic for the past few decades. Software-based solutions are proper and dramatically necessary, currently. This paper presents the deployment of an AI-based application at the Ho Chi Minh City Department of Transportation. The paper mainly concentrates on traffic counting problems during the outbreak of the Covid-19 pandemic from June 2021. The performance of the AI-based application was compared with medical declaration data and achieved an accuracy of 93.80%. © 2022 IEEE.
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Case report
Language:
English
Journal:
2022 International Conference on Advanced Computing and Analytics, ACOMPA 2022
Year:
2022
Document Type:
Article
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