eclipse-sumo/sumo

Features

• Autonomous Vehicle Simulators - Provides a platform for testing automated driving behaviors and vehicle-to-vehicle communication by coupling simulations with external controllers.
• Transport Simulations - Provides a comprehensive microscopic transport simulation for modeling individual vehicle and pedestrian movements.
• Urban Traffic Simulation - Models the explicit movement of every individual vehicle and pedestrian to analyze detailed urban traffic flow.
• Road Network Importers - Converts road network data from common industry formats into simulation-ready layouts for vehicle routing.
• Socket-Based Control Planes - Exposes simulation state and control via sockets to allow external applications to manage vehicles in real-time.
• Microscopic Traffic Simulation - Models the detailed movement of individual vehicles, pedestrians, and public transport in large networks.
• Road Network Generators - Converts map data and standardized road network definitions into simulation-ready environments with geo-coordinates and elevation.
• Multi-Modal Network Models - Combines different transportation modes like trains and pedestrians within a single environment using a shared network graph.
• Multimodal Transport Simulation - Simulates interactions between different transport modes including cars, trains, bicycles, and pedestrians within a shared environment.
• Traffic Control Configuration - Configures traffic lights, variable speed signs, parking areas, and rerouting signage to regulate vehicle flow.
• Traffic Infrastructure Control - Manages speed limits, vehicle behavior, and traffic light schedules using detectors and automated generators.
• Traffic Infrastructure Management - Enables the design and control of traffic light schedules, speed limits, and signage to regulate vehicle flow.
• Travel Demand Generators - Creates realistic vehicle flow profiles using traffic counts, origin-destination matrices, or virtual population models.
• Programmatic Simulation Control - Provides a programmatic API for real-time interaction and manipulation of simulation parameters and vehicle behaviors.
• Simulation State APIs - Provides APIs to connect the simulation state to external applications for real-time vehicle management and data retrieval.
• Behavioral Modelling - Simulates autonomous vehicles by configuring specialized car-following models and adjusting human-behavior parameters.
• Driving Scenario Simulators - Equips vehicles with automated driving capabilities and control transition devices to test autonomous behavior in virtual scenarios.
• Traffic Maneuver Simulations - Enables vehicles to simulate driving through oncoming lanes using directional network information.
• Simulation Parameter Manipulators - Allows real-time modification of simulation parameters and vehicle behavior through a programmatic interface.
• Heterogeneous Traffic Modelling - Models lane-free or heterogeneous traffic by adjusting the lateral resolution of vehicle positioning.
• Traffic Incident Modelling - Models accidents and road blockages by simulating halted vehicles and closed lanes.
• Communication Link Simulations - Models communication link performance by coupling the traffic simulation with external network simulators.
• Behavioral Model Plugins - Allows the replacement of vehicle movement logic through custom classes that define participant interactions.
• Combinatorial Route Optimizers - Computes shortest paths and dynamic user assignments to determine optimal vehicle navigation across the network.
• Custom Vehicle Behavior - Allows creating custom vehicle classes and car-following or lane-changing models to define movement and interaction.
• GPS Map Matching - Maps GPS coordinates to the road network using map-matching techniques to reproduce real-world vehicle trajectories.
• Ensemble Simulation Engines - Executes multiple simulation instances with different random seeds to eliminate bias and analyze a range of outcomes.
• Origin-Destination Matrix Models - Generates vehicle demand and trip chains by mapping traffic flows between specific network nodes using counting data.
• Real-time Simulation Interaction - Modifies the behavior of simulation objects in real-time through a programmatic control interface.
• Synthetic Trip Generation - Creates synthetic vehicle trips and routes using scripts to simulate stochastic demand.
• Traffic Demand Calibration - Ensures steady-state vehicle volumes using insertion delays, circular routes, and rerouters.
• Traffic Flow Analysis - Calibrates traffic demand, analyzes vehicle emissions, and calculates optimal routes using real-world data.
• Traffic Flow Calibration Tools - Adjusts vehicle flow, speed, and type distributions based on real-world counting data to improve model accuracy.
• Vehicle Emissions Analysis - Provides capabilities to track emissions and power consumption for internal combustion, electric, and hybrid vehicle fleets.
• Emissions Tracking - Tracks emissions and power consumption across diverse vehicle fleets, including internal combustion and electric types.

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