학술논문
AI-based traffic counting: A Case Study in Vietnam
Document Type
Conference
Author
Source
2022 International Conference on Advanced Computing and Analytics (ACOMPA) ACOMPA Advanced Computing and Analytics (ACOMPA), 2022 International Conference on. :34-39 Nov, 2022
Subject
Language
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%.