In this modern era, Anandan Dhanaraj, a seasoned expert in real-time data processing systems, explores adaptive signal control innovations aimed at reducing urban traffic congestion. This article ...

As cities, traffic planners and state departments of transportation aim to ensure safety on our shared streets and roads, AI ...

A novel generative AI framework can predict the need for red blood cell transfusion and mortality risk in ICU patients with ...

The global telecommunications landscape is characterized by unprecedented connectivity demands, fueled by a surge in mobile data traffic projected to reach staggering volumes in the coming years. Some ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

As artificial intelligence takes off, how do we efficiently integrate it into our lives and our work? Bridging the gap ...

This dimensionality reduction helps to streamline the analysis process and improve prediction accuracy. The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in ...

the historical traffic flow data are smoothed using variational modal decomposition (VMD). Second, the LSTM prediction model is built for each individual subsequence, and the parameters of the LSTM ...

Abstract: Accurately predicting the occurrence, amplitude, and propagation speed of traffic flow shockwaves ... limited prediction accuracy. To address this gap, we propose a novel vehicle trajectory ...