Tag: intelligent transportation systems

Researchers in India have developed TDE-RYOLO, a deep learning framework that combines image dehazing, a modified YOLOv9 detector, and Poisson-based ...

Researchers have developed LATM, a lightweight trust-scoring framework that evaluates V2X messages using six plausibility parameters and a 0.64 threshold ...

Researchers in Italy have built a Granger causality-guided multi-graph transformer that sharply improves traffic flow forecasting while learning interpretable directional ...

A lightweight hybrid framework combining randomized convolutional feature extraction with extreme learning machines classifies vehicles in fog, rain, and drone ...

Every morning, millions of people around the world descend into subway stations, tap their fare cards, and trust that the ...

Traffic congestion may soon become less a problem of reacting to stalled roads and more a problem of seeing the ...

In the rapidly evolving domain of intelligent transportation systems, the ability to accurately interpret complex traffic scenes despite unpredictable, adverse ...

In an era where urbanization is accelerating at an unprecedented rate, cities globally are grappling with the challenges of managing ...

A recent review published in "Artificial Intelligence and Autonomous Systems" sheds light on the escalating issue of missing traffic data ...