Jinyan Wang

A real-time dynamic vehicle path optimization framework for urban logistics based on deep reinforcement learning

The study describes the urban vehicle routing problem as a Markov decision process, integrating fleet operations, dynamic traffic conditions, and constantly arriving customer orders from heterogeneous realtime data streams, and proposes a graph-based neural network architecture for capturing complex spatio-temporal dep...