Deep Learning and YOLOv3 Systems for Automatic Traffic Data Measurement by Moving Car Observer Technique

Deep Learning and YOLOv3 Systems for Automatic Traffic Data Measurement by Moving Car Observer Technique

Macroscopic traffic flow variables estimation is of fundamental interest in the planning, designing and controlling of highway facilities. This article presents a novel automatic traffic data acquirement method, called MOM-DL, based on the moving observer method (MOM), deep learning and YOLOv3 algor...

Full description

Bibliographic Details
Main Authors: Marco Guerrieri, Giuseppe Parla
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Infrastructures
Subjects:
deep learning
traffic flow
moving car observer technique
traffic data acquirement
Online Access:https://www.mdpi.com/2412-3811/6/9/134

Internet

https://www.mdpi.com/2412-3811/6/9/134

Similar Items