SUMO Conference 2026
2026-06-01..2026-06-04
Berlin-Adlershof, Germany
| title | author | length |
|---|---|---|
| Tutorial | Jakob Erdmann | 01h 08m |
Replicates the Morgantown PRT in Eclipse SUMO using the OSM web wizard and Netedit, converts online stops into offline stations, adjusts speeds and junctions… | ||
| sumoITScontrol - Traffic Controller Collection for SUMO Traffic Simulations | Kevin Riehl, Anastasios Kouvelas, Michail A. Makridis | 22m |
sumoITScontrol is an open source Python framework (TraCI + SUMO) that implements standard ramp‑metering and signal controllers — ALINEA, METALINE, HERO and Max… | ||
| VRU-Aware GLOSA: Integrating VRUs into Green Light Optimized Speed Advisory for Right-Turn... | Pushkar Mahajan, Anna-Lena Schlamp, Stefanie Schmidtner | 20m |
A VRU-aware overlay sits on top of classical GLOSA and predicts right-turn conflicts using a 2-second temporal window, overriding the nominal advisory with a… | ||
| Radar-Based Evaluation of Car-Following Behavior and Fuel Consumption Across Vehicle Categories | Mahdi Al Abdraboh, Joshua Bittle | 20m |
Radar trajectories from a 1.5 km signalized corridor with 1,815 follower trips (250 cars, 607 SUVs, 878 light‑duty trucks, 80 Class‑8) are replayed in SUMO via… | ||
| KEYNOTE: Traffic simulation modeling: combining generative modeling with transportation science ... | Carolina Osorio | 45m |
Extends meso SUMO with link-level fundamental diagrams via a speeds table and reports roughly 10% normalized RMSE improvement in ramp-to-ramp travel times… | ||
| Enabling Non-Lane-Based Cycling Behavior for Mass Bicycle Traffic Flow Simulation in SUMO | Ying-Chuan Ni, Thomas Ramseier, Junzhe Cao, Anastasios Kouvelas, Michail A. Makridis | 19m |
Implements a hexagon representation for each bicycle so gap calculations and longitudinal dynamics produce a staggered queue formation instead of single-file… | ||
| Framework for Generating Activity-Based Travel Demand Using Aggregated Mobility and Land-Use BigData | Joerg Schweizer, Ngoc-An Nguyen, Cristian Poliziani, Federico Rupi | 22m |
A reproducible framework generates individual daily activity–travel plans from aggregated census, vehicle ownership, and building-scale land-use data and… | ||
| A Dynamic Traffic Calibration Framework for SUMO Based on Historical Real-World Speed Data | Emanuel Reichsöllner, Finn Guist, Andreas Freymann, Sandro Lipinski, Mirko Sonntag | 20m |
A framework converts TomTom Vector Flow Tiles (PBF) decoded into PostGIS into time-dependent lane speeds in SUMO, assigning speed-based calibrators that act as… | ||
| Integrating Synthetic Populations and Activity Chains for Individual Emission Assessment in SUMO | Alix NGARI LENDOYE, Corwin Fèvre, Tatiana Graindorge, Alain Bouju | 20m |
Reproducible workflow couples Eqasim→MATSim→SUMO pipeline to turn department‑level synthetic populations into network‑executable SUMO plans, anchoring… | ||
| Reconstruction of Public Transport Routes Based on Imperfect GTFS and OpenStreetMap Data | Alexander Kaiser, Alexander Schmaus | 25m |
Reconstructs SUMO route geometry by extending gtfs2pt with stop clustering, OSM–GTFS matching and a constrained graph search that limits candidate edges by OSM… | ||
| Energy- and Emission-Conscious Extension of TAPAS-SUMO Coupling - A Case Study in Delmenhorst | Yun-Pang Flötteröd, Michael Behrisch, Knut M. Heidemann | 20m |
Extends TAPAS-SUMO coupling to feed SUMO-estimated energy (electricity and fuel) and emissions back into TAPAS and adds automatic iterative coupling plus… | ||
| C-ITS services for light rail systems | Paula von der Heide | 22m |
Microscopic SUMO simulation of the Nationalbibliothek (U5) intersection compares three setups: baseline, legacy TSP, and C-ITS = TSP + GLOSA. Implementation… | ||
| GROSS: German Rail Open-Source SUMO Scenario | Juri Penell, Damian Dailisan | 18m |
GROSS is an open pipeline that combines OSM and GTFS to generate nation-scale SUMO rail scenarios, using topology-aware stop mapping with a hierarchical… | ||
| SUMO for Railway Applications | Christian Rahmig, Jakob Erdmann, Jakob Geischberger, Larissa Zhuchyi | 18m |
SUMO now includes a RailML 2.5 importer that converts railML infrastructure, timetable and rolling stock into track‑selective microscopic networks with signals… | ||
| KEYNOTE: SUMO and I – 25 years later... | Peter Wagner | 39m |
25 years of SUMO starts as a small DLR project that goes open source, gains TraCI (2007) as the control breakthrough and a user conference in 2013; current… | ||
| Energy Optimized Green Light Assist in Varying Traffic Scenarios Using Reinforcement Learning | Johan Kolms, Kai M. Blum, Michael Than, Tamás Kurczveil, Dirk J. Lehmann | 20m |
A speed-advice system compares a deterministic timing-based controller and a PPO RL agent (MLP actor-critic) in SUMO on a 5 km single‑lane approach with… | ||
| EfaSim - A Prototype for a SUMO-driven Emergency Vehicle Driving Simulator | Rebecca Ahmed, Cristian Cubides-Herrera, Fabian Schuhmann, Markus Lienkamp | 19m |
Prototype named EfaSim integrates SUMO for traffic and Unreal Engine for rendering, using a custom DLL via Libsumo instead of TraCI websockets to reduce… | ||
| Driver Models in SUMO and Elsewhere | Peter Wagner | 25m |
Claims that there are 1,000 car‑following models and that many are redundant, but classic LNM/Gazis variants produce unbounded accelerations, diverge at short… | ||
| Simulation of DACH-Style Detector-Actuated Traffic Signal Control in SUMO | Markus Runhao Zhou, Johann Krüger, Meng Wang | 19m |
A Python middleware directly imports LISA+® logic files and maps signal groups, phase sequences and timing to SUMO controllers while translating SUMO states… | ||
| ATSUM: An Attlas-SUMO Middleware | Rodolfo Valentim, Tiago Pinheiro, Vincen Santaella, Artur Souza, João Cleverales, Fernando Martinelli, Victor E. Martínez | 19m |
ATSUM is a middleware that automatically converts Attlas operational configs into SUMO networks, detectors, routes and executable signal programs, running… | ||
| Investigating Traffic Effects of Control Transitions in Level 3 Conditional Driving with SUMO | Robert Alms, Peter Wagner | 22m |
SUMO motorway simulations model Level 3 takeover requests with a calibrated Berlin corridor and show that even successful control transitions raise time… | ||
| Reproducing Weekly Crash Patterns Using a Minimalist Driver Error Model | Ronald Nippold, Andreas Leich, Peter Wagner | 26m |
Microscopic SUMO simulations use an OpenStreetMap network corrections and averaged multi-year detector counts, implement a 3-second blackout driver-inattention… | ||
| Towards Smarter Intersections Through Digital Twins - The Coupling of SUMO and SCENIMINI | Lars Klitzke, Yun-Pang Flötteröd, Peter Wagner | 24m |
A microservice-based connector converts live intersection detections into the Tazzy format and feeds them into SUMO via Kafka middleware, enabling… | ||
| Cycle-Level Distribution-Based Calibration of Microscopic Intersection Models Using UAV Trajectories | Charalambos Tsioutis, Konstantinos Pourgourides, Stelios Timotheou | 19m |
A UAV-driven SUMO calibration pipeline is built that targets signal cycle-level cumulative exit-count curves instead of link totals, reinitializes each cycle… | ||
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