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 ...

Machine learning uses data (usually a lot) and statistical algorithms to predict something unknown. In the private sector, for example, ride sharing apps use traffic data to predict customer wait ...

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 ...

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 ...