Infrastructure Transformation in Lower Saxony (German)
shows the integration of fleets of automated vehicles in public transport, demand-responsive transport (DRT), Mobility a Service (MaaS) and Logistics as a Service (LaaS) schemes
SUMO is being expanded and improved in various areas for modeling rail traffic
Development of solution modules that can be used to contribute to the transformation of the transport system
Creation of a dash board with which the city of Cologne can easily detect the current traffic situation, changes in mobility behavior and the traffic situation in order to then be able to initiate suitable countermeasures
Transport as a cooperative and networked system
Model for data on the future development of passenger transport demand in urban areas
ITS for Asia
Monitoring intersections to identify accident spots
Digitaler Knoten 4.0
Investigation of networked, efficient and safe organization of mixed traffic situations
Investigation of mobility and logistics concepts under the influence of digitalization
Local Traffic Safety Analyzer (LTSA)
In terms of infrastructure, it recognizes and analyzes the road and provides movement lines (trajectories) as well as messages describing the situation for road users
Data and Model-based Solutions for the Transformation of Mobility
"Assessment of traffic regulation policies for the minimization of
by Mauro Bianchi at CEFRIEL, Italy.
This project uses SUMO in combination with EMEP/CORINAIR methodology
for evaluating the impact of different traffic regulation strategies
on pollutants emissions. Traffic simulations are performed offline
for identifying some optimal regulation policies for different local
traffic conditions, using a simple evolutionary algorithm. We
hypothesize an online regulation system with a network of sensors
that is used to recognize the current traffic situations and deploy
the optimal traffic regulation policies.
Fidens – Trust between Cooperative Systems in Application to VANETs
This project investigates trust in vehicular networks (VANETs).
Besides the trust research, it features a simulation environment for
large scale vehicular network applications. Our typical scenario
involves about 13000 vehicles per day over 26 weeks. We build on top
of SUMO and the network simulator Shawn.
Shawn aims on investigating an
algorithm in a network while the underlying layers are kept well
controlled. To do so, it simulates the effects of the underlying
layers, not their protocols in detail. This makes it especially fast
and suitable for application developers.
PedSUMO: PedSUMO is an enhancement to SUMO that explores the dynamic interaction between automated vehicles and pedestrians at unprioritized crossings, focusing on pedestrian behavior in response to vehicle-priority communication methods. This open-source project offers detailed algorithms, parameter insights, and an initial data analysis of Ingolstadt, Germany, paving the way for understanding the complex impact of automated vehicles in urban environments.
GPS-Route by Stefan Edelkamp, Shahidd Jabar and Tilman Mehrer (supervisors)
from the University of Dortmund, Germany
many thanks go to students who have extendended SUMO: Maik
Drozdzynski, Andreas Gaubatz and Miguel Liebe
publications: Edelkamp, Jabar, Mehrer, 2005