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Hace 5 días · In this section, smart traffic vehicle management using Faster R-CNN based deep learning based ensemble method is highlighted. The research problem revolves around traffic management which ...
Hace 20 horas · In traffic management, AI algorithms analyze historical traffic data, ... By sifting through real-time and historical traffic data, AI models can predict congestion and suggest alternative routes.
Hace 2 días · Conclusion. This use case presented a compelling reference design for an Automated Urban Traffic Management System powered by Edge AI and the SK-AM62A-LP evaluation module. The system boasts real-time processing, multi-camera support, and exceptional power efficiency, paving the way for smarter and safer traffic management in urban environments.
Hace 1 día · This study introduces and evaluates the Long-term Traffic Prediction Network (LTPN), a specialized machine learning framework designed for real-time traffic prediction in urban environments. Utilizing a unique combination of convolutional and recurrent neural network layers, the LTPN model consistently outperforms established predictive models across various metrics.
Hace 3 días · At Traffic Technology Today you will find the latest news for those working in the traffic management sector. From R & D, planning, parking and safety to congestion, mapping and data modeling. Includes access to Traffic Technology International magazine.
Hace 4 días · The Aviation industry faces challenges of air traffic congestion and reduced flight operation efficiency [].These issues stem mainly from the demand for flights surpassing the capacity of available airspace and airport accommodation [].As an essential component of air traffic management (ATM), air traffic flow management (ATFM) is designed to achieve demand–capacity balancing (DCB) [].
Hace 3 días · The rapid growth of traffic trajectory data and the development of positioning technology have driven the demand for its analysis. However, in the current application scenarios, there are some problems such as the deviation between positioning data and real roads and low accuracy of existing trajectory data traffic prediction models. Therefore, a map matching algorithm based on hidden Markov ...
