Prediction of Traffic Volume Based on Deep Learning Model for AADT Correction

Accurate traffic volume data are crucial for effective traffic management, infrastructure development, and demand forecasting. This study addresses the challenges associated with traffic volume data collection, including, notably, equipment malfunctions that often result in missing data and inadequa...

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Bibliographic Details
Main Author: Dae Cheol Han
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/14/20/9436
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