SUMO is a microscopic traffic simulator and road network generator designed to model the detailed movement of individual vehicles, pedestrians, and public transport. It serves as a multimodal transport simulator and an autonomous vehicle simulator, enabling the analysis of interactions between different transport modes and the testing of automated driving behaviors. The project distinguishes itself through its ability to couple simulations with external controllers and network simulators to model vehicle communication and autonomous control transitions. It supports the creation of simulation-
CARLA is an autonomous driving simulator and research environment designed for developing and validating self-driving software. It functions as an urban traffic simulator that generates realistic vehicle and pedestrian behavior and as a synthetic sensor data generator producing LiDAR, Radar, and camera data. The platform distinguishes itself through its deep integration with robotics frameworks, specifically providing native connectivity to ROS2 nodes for robotic control and data processing. It supports the training of driving models via imitation and reinforcement learning within a controlle
A/B Street is an open-source traffic simulation and urban planning tool that models how cars, bikes, and pedestrians move through real-world street networks. It imports data from OpenStreetMap to build detailed, lane-level road models, then runs discrete-event simulations to analyze travel times, delays, and congestion patterns across different infrastructure scenarios. The project provides an interactive map editor for modifying road geometry, lane configurations, traffic signals, and access restrictions, with full undo/redo support. Users can design low-traffic neighborhoods by placing moda
This project is an autonomous vehicle simulator designed to validate self-driving logic and train deep learning algorithms within a virtual environment. It functions as a training platform for developing neural networks that control vehicle movement and steering based on visual sensor data. The simulator uses the Unity game engine to provide a physics-based world where autonomous driving algorithms can be tested on virtual road courses without the use of physical hardware. The system integrates a C# scripting backend with a physics engine for collision detection and vehicle dynamics. It util
SUMO ist eine mikroskopische Verkehrssimulations-Suite, die darauf ausgelegt ist, die Bewegung einzelner Fahrzeuge und Fußgänger in groß angelegten städtischen Straßennetzen zu modellieren. Es fungiert als multimodaler Transportsimulator, der Autos, Fußgänger, Fahrräder, Eisenbahnen und Wasserwege in einer einzigen Umgebung integriert, unterstützt durch Tools zur Straßennetzgenerierung und Verkehrsbedarfsmodellierung.
Die Hauptfunktionen von eclipse/sumo sind: Microscopic Traffic Simulation, Multimodal Transport Simulation, Autonomous Vehicle Simulators, Behavioral Modeling, Integration Frameworks, Road Network Generators, Traffic Generation, Urban Traffic Simulation.
Open-Source-Alternativen zu eclipse/sumo sind unter anderem: eclipse-sumo/sumo — SUMO is a microscopic traffic simulator and road network generator designed to model the detailed movement of… carla-simulator/carla — CARLA is an autonomous driving simulator and research environment designed for developing and validating self-driving… a-b-street/abstreet — A/B Street is an open-source traffic simulation and urban planning tool that models how cars, bikes, and pedestrians… udacity/self-driving-car-sim — This project is an autonomous vehicle simulator designed to validate self-driving logic and train deep learning… facebookresearch/habitat-sim — Habitat-sim is a high-performance 3D simulation platform designed for training and benchmarking embodied AI agents… amin-tgz/awesome-carla — 👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla.