CityFlow

CityFlow is a benchmark dataset used to evaluate traffic signal control strategies, focusing on the performance of algorithms in managing urban traffic flow.

Papers using CityFlow (5)

VissimRL: A Multi-Agent Reinforcement Learning Framework for Traffic Signal Control Based on Vissim2026Multi-Agent Reinforcement Learning in Intelligent Transportation Systems: A Comprehensive Survey2025A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarking2024 · 1 citesMTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control2024PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control2024