SUMO User Conference 2021

September 13-15   •   Online

  • The conference agenda is now available
  • Registration for participation is now open
  • The camera-ready paper submission deadline is now: Sunday, August 15th, 2021


Traffic simulations are of immense importance for researchers as well as practitioners in the field of transportation. SUMO has been available since 2001 and provides a wide range of traffic planning and simulation applications. SUMO consists of a suite of tools covering road network imports and enrichment, demand generation and assignment, and a state-of-the-art microscopic traffic simulator capable of simulating private and public transport modes, as well as person-based trip chains. Being open source, SUMO is easily extensible by new behavioral models and can be dynamically controlled via a well-defined programming interface. These and other features make SUMO one of the most often used open source traffic simulators with a large and international user community.

Call for Papers

The conference focuses on presenting new and unique results in the field of mobility simulation and modeling using openly available tools and data. We expect a large variety of research topics and usage approaches. If you are working on a research project fitting the topics below, you are kindly invited to submit an abstract. Possible areas of interest include (but are not limited to):

  • Mobility and Demand Modelling
  • Traffic Simulation
  • Open Tools and Open Data
  • Modelling Urban Mobility
  • Traffic Applications
  • Traffic Management Solutions
  • Intermodal Transport
  • Autonomous Driving
  • Logistics Simulation
  • Vehicular Communication
  • E-Mobility
  • Reinforcement learning / Machine Learning

Paper Submission

Attention: We changed our paper submission process. We are now offering two submission types:

1) Scientific Papers:

  • All accepted scientific papers must be presented at the conference.
  • Scientific papers will be reviewed by at least 2 reviewers.
  • All accepted scientific papers will be published in the SUMO proceedings.
  • Scientific papers must be submitted in LaTeX or Word format before midnight, Monday, May 3rd, 2021 Monday, May 17th, 2021.
  • Scientific papers should be between 5 and 20 pages long.

2) Technical Presentations:

  • The SUMO conference gives the opportunity to present your topic during the poster session or an oral short presentation.
  • There is no need to write a scientific paper.
  • Possible technical presentations can be:
    • Results of Bachelor or Master theses
    • Live Demos
    • SUMO Use Cases
    • Project Presentations
    • Work in Progress which would benefit from the feedback of other SUMO users
  • Title and a short abstract (300 words) must be submitted until Monday, May 3rd, 2021 Monday, May 17th, 2021.

Templates and instructions for authors can be found here:
Technical Presentations do not require following a template, feel free to use your own style.

Please submit your papers via EasyChair:

Ethics and Malpractice Statement

You can read our Publication Ethics and Publication Malpractice Statement, where we list the responsibilities of editors, reviewers, and authors.

Important Dates

  • Paper and Abstract Submission Deadline: Monday, May 3rd, 2021 Monday, May 17th, 2021. ✅
  • Notification of Acceptance: End of June, 2021. ✅
  • Camera Ready version due: Monday, July 19th, 2021 Sunday, August 15th, 2021.


🕓 Schedule given in Central European Summer Time (CEST) (UTC+2) - This agenda may be subject to change

Monday, September 13, 2021
13:00 - 14:00 Opening & Tutorial
14:30 - 15:30 Ask us anything
16:00 - 17:30 A/B Street: a public-facing traffic simulator for transportation advocacy
Dustin Carlino

Read more

A/B Street ( is an open source multi-modal traffic simulator designed for the general public to explore low-cost approaches for reducing motor vehicle use. Starting from OpenStreetMap data and a variety of travel demand sources, people using A/B Street can modify roads (like transforming street parking into bike- and bus-only lanes) and intersections (traffic signal timing). Using built-in elevation data, visualizations about individual trips and aggregate groups, and measurements of impact on travel time and risk exposure, interested citizens can present their idea to a city council for consideration.

This session will first give an overview of what A/B Street does and how it works. We'll then deep dive into understanding the discrete-event, agent-based simulation, and how to model dynamic lane-changing without compromising runtime performance. The second part of the session will be an interactive workshop where we install A/B Street (Mac, Windows, Linux, or running in your web browser), import somewhere new from OpenStreetMap, initially seed travel demand data, and start exploring adjustments to roads.


Tuesday, September 14, 2021
09:00 - 10:00 Cooperative traffic light control - considering cyclists with the aid of V2I

A Study of Applying Eco-Driving Speed Advisory System on Transit Signal Priority

Modeling Cellular Network Infrastructure in SUMO
10:30 - 11:30 The YASE Framework: Holistic Scenario Modeling with Behavior Trees

The use of SUMO within the Transportation GeoXchange (TGX) platform

Can SUMO be used to simulate 2+1 roads?
Lunch break
13:00 - 14:00 Keynote: Ride-hailing and ride-pooling: State of the art, future research directions, and the role of traffic simulation
Univ.-Prof. Dr.-Ing. Klaus Bogenberger
14:30 - 15:30 Intelligent traffic management for emergency vehicles with a simulation case study

Traffic Simulation Environment Based on Sumo Software

Simulation of Demand Responsive Transport using a dynamic scheduling tool with SUMO
16:00 - 17:00 Scenario Analysis for shared autonomous driving fleets with SUMO

Traffic Simulation of Automated Shuttles in Linköping University Campus

Simulating automated vehicles in high capacity networks

Investigation of the effect of autonomous vehicles (AV) on the capacity of an urban transport network
17:00 Social Event 🎲

Wednesday, September 15, 2021
09:00 - 10:00 Online calibration with SUMO for network-wide traffic and emission monitoring – Case study ITS Huainan

Simulation based method for the analysis of energy-efficient driving algorithms using SUMO

Optimising Low-Emissions Zone Geofencing Strategy using SUMO with Vehicle Co-Simulation
10:30 - 11:30 Validating a parking lot assignment method by Eclipse SUMO

High-Fidelity Modeling of Curbside Driving Behavior in SUMO

A comparison of SUMO’s count based and countless demand generation tools
Lunch break
13:00 - 14:00 The impact of heavy vehicles on traffic

Automated Calibration of Traffic Demand and Traffic Lights in SUMO Using Real-World Observations

Evaluating time-loss algorithm with SUMO
14:30 - 15:30 Augmenting SUMO with Ring-and-Barrier Structured Traffic Signal Controller Module

Using Deep Reinforcement Learning to Coordinate Multi-Modal Journey Planning with Limited Transportation Capacity

Last-Mile Logistics Simulation in SUMO
16:00 - 17:00 The Development of Pedestrian Gap Acceptance and Midblock Pedestrian Road Crossing Behaviour Utilizing SUMO

Calibrating spatio-temporal network states in microscopic traffic simulation on a global level

Investigating the Effect of Enabled Mesoscopic Settings within a Sensitivity Analysis
17:00 Closing Session + voting for best presentation

Last updated: 06.07.2021


Ride-hailing and ride-pooling: State of the art, future research directions, and the role of traffic simulation

picture of Klaus Bogenberger

Univ.-Prof. Dr.-Ing. Klaus Bogenberger
Chair of Traffic Engineering and Control
TUM Department of Civil, Geo and Environmental Engineering
Technical University of Munich

Already today, on-demand mobility services such as Uber and Lyft in the USA, and Didi in China have taken over a noticeable share of the modal split. Furthermore, the market value assessment of these companies is now higher than the one of established vehicle producers, as they are considered to have a very high potential despite current losses with regard to autonomous driving. With the elimination of driver costs, it is expected that ride-hailing and ride-pooling can be offered at a substantially lower cost than today, generating a significant increase in demand. To understand the impact of such automated on-demand systems on future transportation systems, simulations are needed to evaluate both fleet efficiency and their interaction with the overall transportation system.

Read more

Studies to date have focused mainly on efficient vehicle-customer assignments and fleet strategies such as proactive repositioning in static networks. For example, a study comparing a current car-sharing operation with an autonomous ride-hailing system was able to show that although 10% empty trips were generated in the ride-hailing operation, it significantly increased fleet utilization. Additionally, it can be observed that system efficiency increases as fleet and demand scale. These positive scaling effects are even more prominent in ride-pooling systems. Larger demand and fleet increase pooling opportunities, which increases the occupancy rate and reduces additional fleet miles per trip request. In a simulation study for Munich, the evaluation of the trajectories of all fleet vehicles showed that these bundling potentials mainly occur on main arterial roads, while additional mileage is induced on secondary roads. These scaling effects in combination with low-cost operation can lead to a fundamental change in the established traffic system. To prevent undesirable effects on the overall system, regulations such as fleet limits, tolling, or public transport integration can help, but their tools still need to be understood in detail.

So far, the mutual effects of ride-hailing and ride-pooling as well as traffic flow have only been modeled in a simplified way. The effective coupling to microscopic traffic simulations like SUMO can be of great benefit here. Such simulation models are already valuable tools in studies on traffic control algorithms, up to the analysis of the effects of automated vehicles. In the context of ride-hailing and ride-pooling, these simulation models can additionally help to further understand traffic flow effects arising from the introduction of large-scale on-demand services. Corresponding impacts of such operations onto traffic states can then be modelled dynamically. Vice-versa, dynamic travel time estimations can be beneficial for the modelling of ride-hailing and ride-pooling operation. Furthermore, the impact of required empty trips due to repositioning or bundled passenger flows due to pooling in urban transportation networks is still poorly understood. In addition, microscopic simulations are needed to efficiently organize boarding and loading processes, detect bottlenecks, and identify any needed infrastructure at an early stage.


Please register here.


Participation at this year’s conference will be free of charge!

Social Event

More info coming soon


The conference language is English.


Given the extraordinary situation we are facing, this year’s SUMO User Conference will be again online - via Zoom.


Please contact the conference team via mail at

Conference artwork