SUMO User Conference 2021

September 13-15   •   Online


The entire conference will take place on the same Zoom Meeting. Click on the Meeting-ID below to join.

Meeting-ID: 940 9464 6775
Passcode: See your Zoom Confirmation Email (received after registration)


🕓 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 Download tutorial files
14:30 - 15:30 Ask us anything Q&A Transcript
16:00 - 17:30 A/B Street: a public-facing traffic simulator for transportation advocacy
Dustin Carlino

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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

Session 1
Cooperative traffic light control - considering cyclists with the aid of V2I
Maik Halbach (DLR), Kim Jannik Eggers (DLR)
A Study of Applying Eco-Driving Speed Advisory System on Transit Signal Priority
Hsuan Chih Wang (Cheng Kung University)
Modeling Cellular Network Infrastructure in SUMO
Anupama Hegde (TH Ingolstadt), Andreas Festag (TH Ingolstadt)
10:30 - 11:30

Session 2
The YASE Framework: Holistic Scenario Modeling with Behavior Trees
Max Paul Bauer (Bosch)
Intelligent traffic management for emergency vehicles with a simulation case study
Laura Bieker-Walz (DLR), Michael Behrisch (DLR), Ronald Nippold (DLR)
Can SUMO be used to simulate 2+1 roads?
Filip Kristofersson (Uppsala University), Ella Calais (Uppsala University), Johan Olstam (Swedish National Road and Transport Research Institute), Viktor Bernhardsson (Swedish National Road and Transport Research Institute)
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

Session 3
The use of SUMO within the Transportation GeoXchange (TGX) platform
Jeffrey Kirchner (Esri Canada), Arif K. Rafiq (Esri Canada), Juliano Kersting (Esri Canada), Steven Farber (Esri Canada)
Simulation of Demand Responsive Transport using a dynamic scheduling tool with SUMO
Maria Giuliana Armellini (DLR)
Traffic Simulation Environment Based on Sumo Software
Xuhong Li (hikvision), Liyong Zheng (hikvision), Bin Su (hikvision), Xu Guo (hikvision), Yonggang Hao (hikvision), Wenjing Li (hikvision), Xuhong Li (hikvision)
16:00 - 17:00

Session 4
Autonomous Vehicles
Scenario Analysis for shared autonomous driving fleets with SUMO
Emanuel Reichsöllner (Hochschule Esslingen), Andreas Rößler (Hochschule Esslingen)
Traffic Simulation of Automated Shuttles in Linköping University Campus
Rihanna Gebrehiwot (Linköping University), Johan Olstam (Swedish National Road and Transport Research Institute), Yun-Pang Flötteröd (DLR)
Simulating automated vehicles in high capacity networks
Joerg Schweizer (University of Bologna), Federico Rupi (University of Bologna), Cristian Poliziani (University of Bologna)
Investigation of the effect of autonomous vehicles (AV) on the capacity of an urban transport network
Ronald Nippold (DLR), Peter Wagner (DLR), Olaf Angelo Banse Bueno (DLR) and Christian Rakow (TU Berlin)
17:30 Social Event 🎲

Wednesday, September 15, 2021
09:00 - 10:00

Session 5
Online calibration with SUMO for network-wide traffic and emission monitoring – Case study ITS Huainan
Yun-Pang Flötteröd (DLR), Michael Behrisch (DLR)
Simulation based method for the analysis of energy-efficient driving algorithms using SUMO
Benedikt Buhk, Rasmus Rettig (both HAW Hamburg)
Optimising Low-Emissions Zone Geofencing Strategy using SUMO with Vehicle Co-Simulation
James Manuelyan, Joshua Dalby, Peter Fussey (all Ricardo UK)
10:30 - 11:30

Session 6
Validating a parking lot assignment method by Eclipse SUMO
Levente Alekszejenkó, Tadeusz P. Dobrowiecki (both Budapest University of Technology and Economics)
High-Fidelity Modeling of Curbside Driving Behavior in SUMO
Qichao Wang, Joseph Severino, Juliette Ugirumurera, Caleb Phillips (all US National Renewable Energy Laboratory)
A comparison of SUMO’s count based and countless demand generation tools
Michael Behrisch (DLR), Pauline Hartwig (TH Wildau)
Lunch break
13:00 - 14:00

Session 7
The impact of heavy vehicles on traffic
Francois Vaudrin (Semaphor CA), and Mathieu Vaudrin (Semaphor CA)
Automated Calibration of Traffic Demand and Traffic Lights in SUMO Using Real-World Observations
Michael Harth (Audi), Marcel Langer (Audi), Klaus Bogenberger (TU München)
Evaluating time-loss algorithm with SUMO
Menno van der Woude (CodingConnected)
14:30 - 15:30

Session 8
Augmenting SUMO with Ring-and-Barrier Structured Traffic Signal Controller Module
Qichao Wang (US National Renewable Energy Laboratory), Tianxin Li (Universtiy of Texas), Wesley Jones (US National Renewable Energy Laboratory)
Using Deep Reinforcement Learning to Coordinate Multi-Modal Journey Planning with Limited Transportation Capacity
Lara Codeca (Trinity College Dublin), Vinny Cahill (Trinity College Dublin)
Last-Mile Logistics Simulation in SUMO
Fabian Post (Bauhaus-Universität Weimar), El Mehdi Essadki (Bauhaus-Universität Weimar)
16:00 - 17:00

Session 9
Other traffic modes and models
The Development of Pedestrian Gap Acceptance and Midblock Pedestrian Road Crossing Behaviour Utilizing SUMO
Peter Lawrence, Veronica Pellacini, Darren Blackshields, Lazaros Filippidis (all University of Greenwich)
Calibrating spatio-temporal network states in microscopic traffic simulation on a global level
Henriette Triebke (Bosch, IfV KIT), Markus Kromer (Bosch), Peter Vortisch (IfV KIT)
Investigating the Effect of Enabled Mesoscopic Settings within a Sensitivity Analysis
Christina Presinger (FH Upper Austria)
17:00 Closing Session + voting for best presentation


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.

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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.

During the conference we are going to offer a virtual room to meet and talk. Move your avatar around to meet people, just make sure to have your mic and webcam on!

Guest Password: Same as the Zoom-Meeting-Passcode

Social Event

We are going to have a fun SUMO-related quiz using Menti. Join our Zoom meeting and have a smartphone/tablet ready at hand. Test your knowledge of SUMO and win the glorious and prestigious prize of attaching your name to an easter egg in “sumo-gui”:

Hall of Fame window

(Check out the current SUMO guru, by pressing Shift + F11 in sumo-gui 1.8.0 or newer)


Please register here.


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


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