Capturing Drivers’ Lane Changing Behaviors on Operational Level by Data Driven Methods
Capturing Drivers’ Lane Changing Behaviors on Operational Level by Data Driven Methods is a scholarly work, published in 2018 in ''IEEE Access''. The main subjects of the publication include real-time computing, artificial intelligence, computer science, empirical research, artificial neural network, traffic flow, data modeling, autonomous car, and trajectory. The authors propose a neural-network-based operational level lane-changing model using data-driven methods.