A batch reinforcement learning approach to vacant taxi routing
A Bayesian deep learning method for freeway incident detection with uncertainty quantification
A bi-level cooperative operation approach for AGV based automated valet parking
Accelerating reliability-based topology optimization via gradient online learning and prediction
Acceptance of a Pay-How-You-Drive pricing scheme for city traffic: The case of Athens
A Comprehensive Railroad-Highway Grade Crossing Consolidation Model: A Machine Learning Approach
A comprehensive review of trip generation models based on land use characteristics
A crash severity analysis at highway-rail grade crossings: The random survival forest method
Adaptive closed-loop maneuver planning for low-thrust spacecraft using reinforcement learning
Adaptive control of hypersonic vehicles with unknown dynamics based on dual network architecture
Adaptive generative adjustable electric fence method and internal obstacle detection
Adaptive guidance and integrated navigation with reinforcement meta-learning
Adaptive neural network control of nonlinear systems with unknown dynamics
Adaptive railway traffic control using approximate dynamic programming
Adaptive traffic signal control using approximate dynamic programming
A data analytics framework for anomaly detection in flight operations
A data-centric weak supervised learning for highway traffic incident detection
A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections
A data-driven decision support system for service completion prediction in last mile logistics
A data-driven hybrid control framework to improve transit performance