Traffic simulation is an effective tool for urban planners, traffic engineers, and researchers to study traffic. In particular, microscopic traffic simulation, which simulates individual vehicles’ ...

This project implements an intelligent traffic signal controller using Proximal Policy Optimization (PPO), a state-of-the-art deep reinforcement learning algorithm. The system intelligently manages ...

Abstract: Smart intersections have the potential to improve road safety with sensing, communication, and edge computing technologies. Perception sensors installed at a smart intersection can monitor ...

This repository provides a reference implementation for distributed, partitioned SUMO simulations with dynamic load balancing. It scales city-wide traffic simulations across multiple hosts to reduce ...

Abstract: This paper proposes an autonomous driving framework for unsignalized intersections. The framework consists of two modules: vehicle state inference and vehicle motion planning. A network ...