Article

Agent-Driven Discovery of Interpretable Car-Following Laws: AERM Model Uncovers Car-Following Patterns from Multi-Source Trajectory Data

An agent-centered framework incorporating physical constraints discovers interpretable car-following laws from multi-source trajectory data, yielding the Adaptive Equilibrium Response Model (AERM), which couples state-dependent relative-speed response with spacing-dependent equilibrium-speed restoration.

Part of the event: Agent framework discovers car-following patterns from trajectory data: the AERM model

This page provides a summary and source link only.