Data-Driven Transfer Learning Framework for Estimating Turning Movement Counts

X Ma, H Noh, R Hatch, J Tokishi, Z Wang - arxiv preprint arxiv:2412.09861, 2024 - arxiv.org
Urban transportation networks are vital for the efficient movement of people and goods,
necessitating effective traffic management and planning. An integral part of traffic …

Machine Learning and Big Data-Based Approaches for Quality Freeway Volumes

A Cottam - 2023 - search.proquest.com
Traffic volume data is essential for transportation agencies for performance measurement
and for implementing intelligent transportation systems (ITS) strategies. However, this data is …

Investigating Incident-Induced Congestion for Personalized Travel Demand Management

Z Huang - 2023 - search.proquest.com
Traffic incidents create significant obstacles for efficient roads and freeways use, leading to
congestion, longer travel time, and economic losses. Tacking these issues involves two key …

[인용][C] Seamless Synergy: Integrating Renewable Energy to Enhance Diagnostic Imaging Analysis with RPA and Deep Learning

S Brandon, N Peter - Revista Espanola de Documentacion Cientifica, 2024

[인용][C] Driving Efficiency: Renewable Energy Integration Elevates Diagnostic Imaging Analysis with RPA and Deep Learning

A Carl, B Juan - Journal Environmental Sciences And Technology, 2024

[인용][C] Strategic Project Management: Navigating Complexity in the Era of Big Data and Analytics

TS Calvard - Social Sciences Spectrum, 2022