Autonomous vehicle decision-making and safety evaluation based on physics-aware graphs and hybrid policy optimization

This replication package is associated with the manuscript “Autonomous vehicle decision-making and safety evaluation based on physics-aware graphs and hybrid policy optimization” submitted to the Journal of Intelligent and Connected Vehicles under manuscript ID JICV-2026-0020. The package includes source code, configuration files, simulation scripts, processed sample data, training logs, evaluation results, generated tables, figure-generation scripts, and a Replication Explanatory File for Journal-Associated Data. These materials support reproduction of the main experiments, including online reinforcement learning in highway-v0, comparisons among PPO-MLP, Ladm-PPO, and Ladm-HPO, offline safety evaluation using LadmCritic, TTC correlation analysis, and risk-energy field visualization. External datasets are not redistributed if restricted by their original data-use policies; instead, source information and preprocessing instructions are provided.