Benchmarking deep learning approaches for all-vs-all conjunction screening
Autonomous anomaly detection on traffic flow time series with reinforcement learning
Adaptive control of hypersonic vehicles with unknown dynamics based on dual network architecture
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks
Learning-based restoration sequence ordering for multi-site traffic signal failure
Multi-agent Q-Learning control of spacecraft formation flying reconfiguration trajectories
Deep reinforcement learning based path stretch vector resolution in dense traffic with uncertainties
Warning systems triggered by trains increase flight-initiation times of wildlife
A Bayesian deep learning method for freeway incident detection with uncertainty quantification
A deep learning approach for real-time crash prediction using vehicle-by-vehicle data
Machine learning for multi-jurisdictional optimal traffic corridor control