SUMO

Simulation of Urban MObility

User

• Introduction
• The traffic simulation SUMO
• Basic Usage
• Notation in this Documentation
• Needed, basic Computer Skills
• Installing SUMO
• Using SUMO Command Line Applications
• Tutorials
• Network Building
• SUMO Road Networks
• Abstract networks generation
• Importing networks with NETCONVERT
• Defining own networks using XML
• Importing non-SUMO networks
• ... from OpenStreetMap
• ... from VISUM
• ... from Vissim
• ... from openDRIVE
• ... from MATsim
• ... from ArcView (shapefiles)
• ... from Elmar's GDF
• ... from Robocup Simulation League
• Importing SUMO networks
• Further NETCONVERT options
• Additional output
• Demand Modelling
• Introduction to SUMO Demand Modelling
• Definition of Vehicles, Vehicle Types, and Routes
• Simulation of public transport
• Simulation of individual persons and trip chains
• Importing O/D Matrices
• Random Trips
• Shortest or Optimal Path Routing
• Routing by Turn Probabilities
• Routes from Observation Points
• Activity-based Demand Generation
• Computing Dynamic User Assignment
• Importing foreign demands
• Other VISUM Demand Importers
• Other Vissim Demand Importers
• Routing in the Simulation
• Random Routes
• Simulation
• Basic Definition
• Traffic Management and Other Structures
• Traffic Lights
• Public Transport
• Variable Speed Signs
• Rerouter / Alternative Route Signage
• Vaporizer
• Simulation output
• TraCI (On-line Interaction)
• Shapes Visualisation
• Common Problems
• Why Vehicles are teleporting
• Theory
• Traffic simulations in general
• Appendices
• Glossary
• FAQ
• Additional Tools
• Known File Extensions
• Application Manuals
• SUMO
• SUMO-GUI
• NETCONVERT
• NETGENERATE
• OD2TRIPS
• DUAROUTER
• JTRROUTER
• DFROUTER
• POLYCONVERT
• ACTIVITYGEN
• Tool Manuals
• Tools/TraceExporter
• Translations
• Persian SUMO tutorial
• Persian tutorial on "Vehicular Adhoc Network Simulation With NS2, SUMO And MOVE"

Further Resources

• Example Networks
• Example Scenarios
• Traffic Data

Developer

• Developer Docs
• Daily Tests Status
• Doxygen Documentation
• Python Modules Documentation
• traci
• sumolib

One of the followed design goals was to achieve a high simulation speed. A simulation can not be fast enough, and below you may find some notes on how the speed can be increased.

Command Line Output & TraCI

• plain execution with TraCI: 24 min
• no TraCI: about 7 min
• Disabling reporting partially: 1:44 min
• Disabling reporting completely: 50 sec

This page was last modified on 25 October 2011, at 15:05.

(c) 2011, German Aerospace Center, Institute of Transportation Systems

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