Vehicle Turn Pattern Counting and Short Term Forecasting Using Deep Learning for Urban Traffic Management System

Vehicle Turn Pattern Counting and Short Term Forecasting Using Deep Learning for Urban Traffic Management System

Urban traffic management has been facing increasing challenges due to the surge in number of vehicles and traffic congestion. As cities expand and population grows, efficient and accurate monitoring of vehicle counts is crucial for better traffic management. Hence, as part of the Bengaluru Mobility...

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Bibliographic Details
Main Authors: Sundarakrishnan Narayanan, Sohan Varier, Tarun Bhupathi, Manaswini Simhadri Kavali, Mohana, P. Ramakanth Kumar, K. Sreelakshmi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Auto-ARIMA
deep learning
object tracking
time-series analysis
traffic forecasting
YOLOv8
Online Access:https://ieeexplore.ieee.org/document/10830516/
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