Given enough data, the machine learning element will be able to predict impacts so that traffic engineers can create corrective strategies. "We use a graph-based model together with novel sampling ...

which aimed to solve mobility challenges using artificial intelligence (AI). Traffic4cast, a unique competition merging movie-prediction machine learning with traffic research, challenged ...

Traffic offenders beware, in the near future, machine learning models will be able to predict which vehicle is more likely to commit a traffic offence. The models will leverage la ...

It's possible to use machine learning to discern the mood of a song from its melody or to predict stock market trends based on historical data patterns. The magic of machine learning lies in its ...

The project I was a part of, Tectonic, was using machine learning to advance earthquake prediction. The European Research Council was sufficiently convinced of its potential to award it a four ...

Flighty 4.0 uses machine learning to predict these delays up to six hours before airlines acknowledge them. The company says its predictions are over 95% accurate. Air traffic control is the ...

Abstract: National Airspace Systems (NAS) are cyber-physical systems that require swift air traffic ... machine learning serves as the optimization constraints for better landing sequencing. In ...