eclipse-sumo/sumo

Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for...

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Summary Information

Updated 1 hour ago
Added to GitGenius on September 16th, 2026
Created on October 27th, 2017
Open Issues & Pull Requests: 2,980 (+0)
GitHub issues: Enabled
Number of forks: 1,759
Total Stargazers: 4,186 (+0)
Total Subscribers: 67 (+0)

Repository Insights (GitGenius)

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How this project is maintained

Around half of the issues opened in the past year never receive a reply. 91% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 74% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. 73% of issues opened in the past year have been closed, leaving a working backlog. Three people close 91% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 2,795
New in 7 days: 4
Closed in 7 days: 2
Avg open age: 1,762 days
Stale 30+ days: 2,709
Stale 90+ days: 2,656

Recent activity

Opened in 7 days: 4
Closed in 7 days: 2
Comments in 7 days: 1
Events in 7 days: 7

Top labels

  • a:sumo (4,659)
  • a:netedit (2,801)
  • a:netconvert (1,843)
  • a:sumo-gui (1,282)
  • c:pytools (1,272)
  • c:traci (1,239)
  • p:minor (998)
  • c:output (701)

Detailed Description

Eclipse SUMO is a microscopic traffic simulation package designed to model large-scale transportation networks with detailed vehicle and pedestrian interactions.

The tool addresses the need to simulate realistic traffic behavior across complex road networks by implementing continuous, microscopic simulation where each vehicle and pedestrian is modeled individually. This approach captures emergent traffic phenomena like congestion, lane changes, and pedestrian crossing behavior that aggregate models cannot represent. SUMO handles intermodal scenarios, allowing simulation of cars, public transit, bicycles, and pedestrians within the same environment, making it suitable for studying multimodal transportation systems.

SUMO suits researchers, urban planners, and transportation engineers who need to evaluate traffic management strategies, test autonomous vehicle algorithms, or analyze the impact of infrastructure changes on network flow. The tool is particularly valuable for scenarios involving large networks where computational efficiency matters, as it is designed to scale to substantial road systems. It includes a comprehensive toolkit for scenario creation, reducing the effort required to set up simulations from real-world data or synthetic specifications. The project's portability across platforms makes it accessible to teams with diverse computing environments.

Development activity shows consistent engagement with the codebase, with regular commits addressing bug fixes, feature enhancements, and maintenance across the simulation engine and supporting tools. The project maintains active issue tracking and responds to user-reported problems, indicating ongoing attention to stability and usability. Documentation and examples are regularly updated to reflect current functionality and best practices. The maintainers demonstrate responsiveness to community contributions and incorporate external feedback into the roadmap.