AgentSUMO lets non-expert stakeholders design, execute, and analyze SUMO traffic simulations through natural-language interaction. The Planner Agent translates abstract policy questions into ...

Achieving feasible, smooth and efficient trajectories for autonomous vehicles which appropriately take into account the long-term future while planning, has been a long-standing challenge. Several ...

Abstract: Current autonomous vehicle (AV) simulators are built to provide large-scale testing required to prove capabilities under varied conditions in controlled, repeatable fashion. However, they ...

This is a module that could run SUMO simulations in batches based on the SUMO-Pyhton API (Dynamita). With inputs and outputs pre-defined, all simulations could be run with several lines of codes. It ...