SUMO User Conference 2021
2021-09-13..2021-09-15
-- online --
[SUMO User Conference 2021, SUMO User Conference 2022, SUMO User Conference 2023]
| title | author | length |
|---|---|---|
| Tutorial | Jakob Erdmann | 43m |
Demonstrates building scenarios with the osm web wizard, editing networks in netedit f7/f5 to join a messy intersection and rerunning the traffic-generation… | ||
| Ride-hailing and ride-pooling: State of the art, future research directions, and the role of ... | Klaus Bogenberger | 56m |
Simulation studies claim automated ride-hailing raises fleet utilization even with 10% empty trips, and Munich micro-simulations show pooling bundles trips on… | ||
| Cooperative traffic light control - considering cyclists with the aid of V2I | Maik Halbach, Kim Jannik Eggers | 14m |
A cooperative traffic light control called CTLC model uses V2I from cyclists’ Mobile Devices (smartphone, smartwatch, or bike on‑board unit) to send position… | ||
| A Study of Applying Eco-Driving Speed Advisory on Transit Signal Priority | Hsuan-Chih Wang | 13m |
A cooperative system called ATSP-C system integrates transit signal priority with an eco‑driving speed advisory under Connected Vehicle assumptions… | ||
| Modeling Cellular Network Infrastructure | Anupama Hegde, Ringo Stahl, Silas Lobo, Andreas Festag | 14m |
Method introduces a cellular coverage layer inside SUMO that places hexagonal cell sites with base stations, models antenna patterns, cell association and… | ||
| YASE - An Agnostic and Holistic Scenario Engine | Max Paul Bauer | 15m |
OpenSource YASE is an agnostic scenario engine that compiles human-readable scenario files into an intermediate language representation and executes them as… | ||
| Intelligent traffic management for emergency vehicles with a simulation case study | Laura Bieker-Walz, Michael Behrisch, Ronald Nippold | 15m |
Compares three specific intersection-priority strategies—FAST, STREAM, and WALLABY using the traffic simulator SUMO on a one‑hour corridor scenario with 200 m… | ||
| Can SUMO be used to simulate 2+1-highways? | Filip Kristofersson, Ella Calais, Johan Olstam, Viktor Bernhardsson | 18m |
Traffic simulation is a growing research field which enables study and evaluation of the dynamics of a traffic system with the help of today’s various traffic… | ||
| SUMO and the Transportation GeoXchange (TGX) | Arif K. Rafiq, Jeffrey Kirchner, Juliano Kersting, David Stajan, Andrea Zagar | 15m |
SUMO is embedded into a cloud SaaS Transportation GeoXchange that runs server-side SUMO deployments as ArcGIS portal items, containerized via ArcGIS Notebooks… | ||
| Simulation of Demand Responsive Transport using a dynamic scheduling tool | Maria Giuliana Armellini | 16m |
A Python scheduler called drtOnline.py (included in SUMO since 1.9.0) dynamically dispatches shared DRT using TraCI for rerouting and an integrated LP solver… | ||
| Scenario Analysis for Shared Autonomous Driving Fleets | Emanuel Reichsöllner, Andreas Rößler | 16m |
A SUMO-based Scenario Builder simulates morning and evening demand on a Mannheim map converted from OpenStreetMap (OSM Web Wizard) using city traffic counters… | ||
| Traffic Simulation of Automated Shuttles | Rihanna Gebrehiwot, Johan Olstam, Yun-Pang Flötteröd | 15m |
Simulation of two automated shuttles on a 2.1 km campus route uses SUMO calibrated with real trial data from Linköping (operation since 6 Dec 2019) to… | ||
| Simulating automated vehicles in high capacity networks | Joerg Schweizer, Federico Rupi, Cristian Poliziani | 17m |
Derives theoretical line‑capacity for platoons of n vehicles and implements the idea in SUMO + TRACI script (now in SUMOPy), testing a Bologna network with… | ||
| Investigation of the effect of Autonomous Vehicles on the capacity of an urban transport network | Ronald Nippold, Peter Wagner, Olaf Angelo Banse Bueno, Christian Rakow | 17m |
Case study uses maxim for the population and sumo for microscopic observation, running about 200,000 simulations across the Düsseldorf area (1,637 signalized… | ||
| Online calibration with SUMO for network-wide traffic and emission monitoring - Case ITS Huainan | Yun-Pang Flötteröd, Michael Behrisch | 16m |
An online SUMO mesoscopic pipeline integrates taxi FCD and stationary sensors, fusing data in Postgres/Oracle and running dsp online calibration every 5-minute… | ||
| Simulation based method for the analysis of energy-efficient driving algorithms | Benedikt Buhk, Rasmus Rettig | 17m |
A reproducible Python tool-chain couples SUMO + MATLAB energy model to evaluate driving algorithms by simulating a controlled CAV on a real urban test circuit… | ||
| Optimising Low-Emissions Zone Geofencing Strategy using SUMO with Vehicle Co-Simulation | James Manuelyan, Joshua Dalby, Peter Fussey | 20m |
Co-simulation uses SUMO + TRACEy with a Ricardo VSIM MATLAB/Simulink bus model and a GUI to generate weighted random trips; geofence is parameterized by start… | ||
| Validating a parking lot assignment method | Levente Alekszejenkó, Tadeusz P. Dobrowiecki | 15m |
Tests an auction based parking assignment for autonomous vehicles using an abstract two dimensional “pizza” city model and a detailed Eclipse SUMO simulation… | ||
| High-Fidelity Modeling of Curbside Driving Behavior | Qichao Wang, Joseph Severino, Juliette Ugirumurera, Caleb Phillips | 16m |
This work builds a high-resolution curbside model for SUMO using the Traci interface, with detectors that track vacancy, randomized downstream spot selection… | ||
| A comparison of SUMO’s count based and countless demand generation tools | Pauline Hartwig, Michael Behrisch | 17m |
Comparison tests use a Wildau SUMO scenario built from OpenStreetMap, city counts and some manual counts and try random trips, route sampler, DF/flow routers… | ||
| Impact of Heavy Vehicles on Traffic | Francois Vaudrin, Mathieu Vaudrin | 16m |
SUMO simulation models the three‑lane Pierre‑Laporte Bridge with fixed total flow (12,000 vehicles over two hours) while replacing cars by heavy trucks to… | ||
| Automated Calibration of Traffic Demand and Traffic Lights in SUMO Using Real-World Observations | Michael Harth, Marcel Langer, Klaus Bogenberger | 16m |
Automated pipeline converts historical counts and signal logs from Ingolstadt into a calibrated 10×10 km SUMO network (≈12,000 edges, 5,600 junctions, 120… | ||
| Measuring delay at signalized intersections | mano van de vaude | 15m |
Algorithm estimates total vehicle time-loss from VLOG logs using only stop‑line detectors, implemented in the YAVC/YAVV tools and tested against SUMO ground… | ||
| Augmenting with Ring-and-Barrier Structured Traffic Signal Controller Module | Qichao Wang, Tianxin Li, Wesley Jones | 17m |
Claims a working SUMO extension that models eight NEMA phases in a two-ring, two-barrier structure, plus a TraCI command to update timings in real time. Two… | ||
| Using Deep Reinforcement Learning to Coordinate Multi-Modal Journey Planning with Limited ... | Lara Codeca, Vinny Cahill | 11m |
Multi-agent deep RL is applied to SUMO using PPO via RLlib and Ray to generate coordinated multimodal plans for an event scenario with 1,000 agents and a… | ||
| Last-Mile Logistics Simulation | Fabian Post, El Mehdi Essadki | 11m |
Model of Erfurt links XCargo-generated demand to SUMO: XCargo builds per-address packet quantities and solves the initial CVRP from local hubs, then assigns a… | ||
| The Development of Pedestrian Gap Acceptance and Midblock Pedestrian Road Crossing Behavior ... | Peter Lawrence, Veronica Pellacini, Darren Blackshields, Lazaros Filippidis | 18m |
Researchers connect EXODUS to SUMO via the TraCI API and implement a probabilistic gap-acceptance model that distinguishes double gap (one-stage) and rolling… | ||
| Calibrating spatio-temporal network states in microscopic traffic simulation on a global level | Henriette Triebke, Markus Kromer, Peter Vortisch | 22m |
Global calibration adjusts network-wide relative mean speed over 24 hours for a downtown Berlin extract with ~500k trips by combining MATSim demand tweaks… | ||
| Investigating the Effect of Enabled Mesoscopic Settings within a Sensitivity Analysis | Christina Presinger | 17m |
Uses SUMO and an R analysis script to run 120 mesoscopic configurations (11 parameters) and a One‑At‑A‑Time plus combined sensitivity study comparing… | ||
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