Transportation
Studies performed by the European Union forecast a growth in freight traffic by 70 percent until 2025. Another study conducted by Shell even predicts that the global amount of cars will be doubled by 2030.
Both studies can be transferred to other means of transportation. The expected growth of the transport sector requires the optimum use of scarce and limited resources, such as the "traffic routes" (airspace, shipping routes, urban transport networks, highways...), taking into account global factors such as reduction of CO2 emissions, minimising energy consumption, noise reduction and improving safety. Future mobility concepts require the development of "system of system" (SoS) where heterogeneous classes of subsystems are linked to sector specific systems which then have to work together. Europe and especially Germany are leading in the development of complex systems, but how can Germany maintain its position as a technology leader and secure future economic growth? The innovations required to solve these issues are, to 80%, based on new information and communications technologies.
OFFIS as Designer
Since it was founded, the R&D Division Transportation has achieved recognised expertise by working together closely with industry in the transportation sector. The aim is to contribute to the development of dependable, co-operative and assistive systems for future mobility concepts. This leads to increased demands regarding safety, security and dependability of these systems as well as also their ability to intuitively and efficiently interact and cooperate with humans. The characteristics of these systems are principally realised via networked embedded systems (so-called ‘cyber physical systems’) consisting of sensors, electronics and software. In order to ensure this, the R&D Division Transportation has been working on all levels of design of these systems focussing on the development of methods, tools and technology to support industry in this sector.
Concrete Applications
We have classified our concrete applications of the division Transportation's ICT-Research and -Development in the following R&D-Groups:
Persons 
A
B
D
d
E
F
Dr. Ing. Sebastian Feuerstack
E-Mail: sebastian.feuerstack(at)offis.de, Phone: +49 441 9722-509, Room: SUG04
Prof. Dr. Martin Fränzle
E-Mail: martin.fraenzle(at)offis.de, Phone: +49 441 9722-566, Room: D 119/120
G
H
J
K
L
Dr. rer. nat. Andreas Lüdtke
E-Mail: andreas.luedtke(at)offis.de, Phone: +49 441 9722-530, Room: D106
M
N
Prof. Dr.-Ing. Wolfgang Nebel
E-Mail: wolfgang.nebel(at)offis.de, Phone: +49 441 9722-280, Room: O 21
Dr. rer. nat. Christian Neurohr
E-Mail: christian.neurohr(at)offis.de, Phone: +49 441 9722-593, Room: SEG12
O
P
S
Dr. rer. nat. Michael Siegel
E-Mail: michael.siegel(at)offis.de, Phone: +49 441 9722-721, Room: O106
T
Prof. Dr. Prof. h.c. Jürgen Taeger
E-Mail: j.taeger(at)uol.de, Phone: +49 441 798-4134, Room: A5-1-110
U
V
Sebastian Vander Maelen
E-Mail: Sebastian.vander.maelen(at)offis.de, Phone: +49 441 9722-176, Room: SEG08
W
Projects
A
ASIMOV
AI training using Simulated Instruments for Machine Optimization and Verification
Duration: 2021 - 2024C
E
G
GENIAL!
Joint electronics roadmap for innovations in the automotive value chain!
Duration: 2018 - 2023H
K
KI Wissen
Development of methods for the integration of knowledge into machine learning
Duration: 2021 - 2023M
P
Publications
2021
6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment
Maike Scholtes, Lukas Westhofen, Lara Ruth Turner, Katrin Lotto, Michael Schuldes, Hendrik Weber, Nicolas Wagener, Christian Neurohr, Martin Herbert Bollmann, Franziska Körtke, Johannes Hiller, Michael Hoss, Julian Bock, Lutz Eckstein; IEEE Access; April / 2021
A Fast Yet Accurate Message-level Communication Bus Model for Timing Prediction of SDFGs on MPSoC
Hai-Dang Vu and Sebastien Le Nours and Sebastien Pillement and Ralf Stemmer and Kim Grüttner; 26th Asia and South Pacific Design Automation Conference (ASP-DAC) 2021; 01 / 2021
A Measurement-based Message-level Timing Prediction Approach for Data-Dependent SDFGs on Tile-based Heterogeneous MPSoCs
Ralf Stemmer, Hai-Dang Vu, Sébastien Le Nours, Kim Grüttner, Sébastien Pillement, Wolfgang Nebel; Applied Sciences; 2021
A Measurement-based Performance Evaluation Framework for Neural Networks on MPSoCs
Quentin Dariol, Sebastien Le Nours, Sebastien Pillement, Ralf Stemmer, Kim Grüttner, Domenik Helms; 15ème Colloque National du GDR SOC2; Jun / 2021
A Modeling Methodology for Collaborative Evaluation of Future Automotive Innovations
Maher Fakih, Oliver Klemp, Stefan Puch and Kim Grüttner; Software and Systems Modeling; 04 / 2021
Application of AI and In-memory Computing for Extracting Vessel Movement Patterns from Historical Data
Dominik Filipiak, Milena Strozyna, Krzystof Wecel, Matthias Steidel, Witold Abramowicz; Januar / 2021
Criticality Analysis for the Verification and Validation of Automated Vehicles
Christian Neurohr, Lukas Westhofen, Martin Butz, Martin Bollmann, Ulrich Eberle, Roland Galbas; IEEE Access; Januar / 2021
Goal-Based Strategy Exploration
Obe, Patricia Aluko and Brings, Jennifer and Daun, Marian and Feeken, Linda and Mirzaei, Elham and Neumann, Martin and Nickles, Jochen and Rösel, Simon and Sauer, Markus and Schlingloff, Holger and Stierand, Ingo and Zernickel, Jan-Stefan; Model-Based Engineering of Collaborative Embedded Systems: Extensions of the SPES Methodology; 2021
Goal-Based Strategy Exploration
Obe, Patricia Aluko and Brings, Jennifer and Daun, Marian and Feeken, Linda and Mirzaei, Elham and Neumann, Martin and Nickles, Jochen and Rösel, Simon and Sauer, Markus and Schlingloff, Holger and Stierand, Ingo and Zernickel, Jan-Stefan; Model-Based Engineering of Collaborative Embedded Systems: Extensions of the SPES Methodology; 2021
Modeling and Analyzing Context-Sensitive Changes during Runtime
Wehrstedt, Jan Christoph and Brings, Jennifer and Caesar, Birte and Daun, Marian and Feeken, Linda and Hildebrandt, Constantin and Klein, Wolfram and Malik, Vincent and Wirtz, Boris and Wolf, Stefanie; Model-Based Engineering of Collaborative Embedded Systems: Extensions of the SPES Methodology; 2021
