TUM Autonomous Vehicle Systems Lab
Research-focused academic department within TUM advancing autonomous vehicles, traffic engineering, and sustainable mobility through AI-driven research, international partnerships, and graduate education in transportation systems and automotive engineering.
- Company typePublic
- Founded1868
- HeadquartersGarching, Bavaria, Germany
- Headcount1–10
- GTM typeB2B
- OfferingServices
What TUM Autonomous Vehicle Systems Lab does
The TUM Autonomous Vehicle Systems Lab is a research-focused entity within the Department of Mobility Systems Engineering (MOS) at the Technical University of Munich (TUM). The department comprises six professorial chairs: Autonomous Vehicle Systems (Prof. Dr. Johannes Betz), Traffic Engineering (Prof. Dr. Klaus Bogenberger, Department Head), Networked Transport Systems (Prof. Dr. Constantinos Antoniou), Vehicle Technology (Prof. Dr. Markus Lienkamp), Sustainable Mobile Propulsion Systems (Prof. Dr. Malte Jaensch), and Rail Transport Systems (Prof. Dr. Norman Weik), with additional chairs in Urban Structure and Transport Planning (Prof. Dr.-Ing. Gebhard Wulfhorst) and Transport Behavior (Prof. Dr.-Ing. Qin Zhang, interim). It serves graduate students enrolled in Master's programs in Transportation Systems and Automotive Engineering, the international research community, and industry partners through collaborative research and technology transfer. The entity is headquartered at Arcisstraße 21 in Munich, with an additional office at Parkring 37 in Garching.
The lab's core research portfolio spans autonomous driving, trusted autonomy, traffic modeling and simulation, networked transport systems, and human factors. Technical capabilities include AI/ML innovations such as Graph Neural Networks (GNNs) for traffic prediction, Vertical Federated Learning for transport mode detection, the DAMA (Dual-axis mamba2-attention) network for trajectory reconstruction, and Bayesian deep learning approaches. Major research projects include MINDMAP (international collaboration with the University of Queensland), AgiMo (TRR 408, a DFG-funded Collaborative Research Centre with TU Dresden), SUMO-based traffic simulations, and GIS-based web tools. Faculty maintain active editorial roles at top IEEE and transportation journals, and the lab publishes in international research venues.
As a Körperschaft des Öffentlichen Rechts (public law entity), the lab operates on a non-commercial funding model, drawing primarily from government sources including the Deutsche Forschungsgemeinschaft (DFG) and Bavarian state funding, supplemented by conference and event revenue. The go-to-market is event- and publication-driven: organizing international conferences (NECTAR26 with 26 participating countries, MT-ITS, mobil.TUM), running the Tsinghua-TUM Summer School in Beijing since 2017, and coordinating PhD colloquia with McGill University and the Polytechnic University of Madrid. Customer segments are academic — graduate students, the international research community, and industry partners — with no equity, no VC involvement, and no commercial product revenue.
TUM Autonomous Vehicle Systems Lab firmographics
Firmographics- Name
- TUM Autonomous Vehicle Systems Lab
- Legal name
- Technische Universität München
- Website
- https://mos.ed.tum.de
- Company type
- Public
- Founded year
- 1868
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Research-focused academic department within TUM advancing autonomous vehicles, traffic engineering, and sustainable mobility through AI-driven research, international partnerships, and graduate education in transportation systems and automotive engineering.
- Ownership category
- akta.pro rank
TUM Autonomous Vehicle Systems Lab industry classification
Industry- Product category
- Academic Mobility & Transportation Systems Research
- NAICS
- Colleges, Universities, and Professional Schools (6113), Computer Training (611420)
- SIC
- Services-Engineering Services (8711), Transportation Services (4700)
- akta.pro primary industry
- Autonomous Vehicles & Ground Mobility (HDAAAIAF)
- akta.pro secondary industries
- Transportation & Traffic Engineering Consulting (BPAHAIAC), Connected Freight & Trucking Infrastructure (Platooning Support, Smart Corridors) (TLAJAHAK), Powertrain, Drivetrain & Transmission Specialist Training (EDAOAEAJ)
Keywords
Where TUM Autonomous Vehicle Systems Lab is headquartered
LocationHeadquarters
- HQ city
- Garching, Bavaria
- HQ country
- Germany
- HQ region
- Europe
Offices2 records
Markets served
TUM Autonomous Vehicle Systems Lab business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Infrastructure, Operations, Marketing or Sales
Revenue model
- Public Research Funding: Funded through government research grants, Bavarian state funding, and German Research Foundation (DFG) projects such as the Collaborative Research Centre AgiMo (TRR 408)
- Conference and Event Revenue: Sponsorships and registration fees from academic conferences such as NECTAR26, MT-ITS, and mobil.TUM
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | One-time | Summer School Beijing - Free participation for accepted students |
| Subscription | One-time | MT-ITS Conference Registration |
Go-to-market motion1 record
Distribution channels2 records
Marketing channels4 records
TUM Autonomous Vehicle Systems Lab product offering
Product offeringCore offering
Conducts academic research and graduate/postgraduate education in mobility systems engineering, with the Autonomous Vehicle Systems Lab focused on autonomous driving, trustworthy autonomy, and applied software development. The department delivers Bachelor's, Master's, and PhD programs in Transportation Systems and Automotive Engineering, and produces peer-reviewed research, simulation tools, and collaborative projects with international academic and industry partners.
Product overview
The Department of Mobility Systems Engineering (MOS) at TUM conducts academic research across mobility systems, vehicle technology, autonomous vehicles, and transportation planning. The department comprises multiple chairs including Autonomous Vehicle Systems, Vehicle Technology, Sustainable Mobility Systems, Rail Systems Planning, Urban Structure and Transport Planning, Traffic Engineering, and Networked Transport Systems. Research focuses on topics including autonomous driving, electric mobility, traffic modeling, transport economics, and mobility behavior. The department offers teaching programs at bachelor's, master's, and PhD levels in transportation systems and automotive engineering. Research outputs include publications, software tools, and collaborative projects with international partners.
Differentiator
Problem solved
Functional benefit
Products and services
- M.Sc. Transportation Systems Master of Science program offered through TUM School of Engineering and Design, providing advanced graduate education in transportation systems engineering, mobility behavior, traffic modeling, and transport planning for students seeking careers in mobility research, automotive industry, and transport policy.
- M.Sc. Automotive Engineering Master of Science program offered through TUM School of Engineering and Design, providing graduate-level technical education in vehicle technology, autonomous driving, electric mobility, and propulsion systems for engineers targeting the automotive sector.
- NECTAR26 Conference International academic conference organized by the Department of Mobility Systems Engineering on urban mobility transitions, drawing researchers and practitioners from across the globe.
- MT-ITS International IEEE Conference International IEEE conference co-organized by the MOS department covering models and technologies for intelligent transportation systems, with tiered registration (full: 300-400 EUR; student: 100-200 EUR) and per-page surcharges for extra papers.
- International Summer/Winter Schools on Transportation Engineering and Logistics Annual international summer and winter school programs jointly delivered with Tsinghua University (since 2017), offering free participation to accepted students (who cover their own travel and accommodation) and featuring lectures on transportation engineering and logistics.
Quantifiable outcome
- Hosted NECTAR26 with participants from 26 countries discussing urban mobility transitions
- +1 more outcomes
Companies that use TUM Autonomous Vehicle Systems Lab
Customer profileNamed customers2 records
Segments3 records
Ideal customer profiles3 records
TUM Autonomous Vehicle Systems Lab technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability6 records
Feature5 records
TUM Autonomous Vehicle Systems Lab partnerships and signals
Strategic signalPartnerships
Twelve partnerships are on record, tiered core and minor.
- Mobilizing Justice Partnership (University of Toronto)coreBilateral exchange between University of Toronto and TUM; MoU signed between MCube – Munich Cluster for the Future of Mobility and Mobilizing Justice Partnership for advancing international collaboration in accessibility research and knowledge exchange. Features presentations on digital mobility twins, transport poverty, accessibility measurement, and sufficiency-oriented mobility planning.
- EIT Urban MobilitycoreSponsorship of NECTAR26 conference on urban mobility transitions; involvement in Doctoral Training Network; collaborative research on integrating behavioural insights into sustainable mobility planning
- Tsinghua UniversitycoreLong-standing partnership for annual Summer School Beijing and Winter School programs covering latest achievements in transportation engineering and logistics; joint lectures and student exchange since 2017
- TU DresdencorePartner in DFG-funded Collaborative Research Centre AgiMo (TRR 408); joint PhD workshops and collaborative research on autonomous mobility with partners in Dresden, Berlin, and Braunschweig
- MCube – Munich Cluster for the Future of MobilitycoreInterdisciplinary research platform under TUM AGENDA 2030; all six MOS professorships are members; collaborative mobility research cluster for Munich metropolitan regions
- University of QueenslandcoreCollaboration on MINDMAP project (Model Interpretation and Data-centric Modeling for Advanced traffic Prediction); Prof. Jiwon Kim supervises PhD candidate Soban Nasir Lone alongside Prof. Antoniou
- Northwestern UniversityminorJoint workshop on Big Data for Future Mobility held at TUM in 2017
- University of California Santa BarbaraminorJoint workshop on Big Data for Future Mobility; Prof. Konstantinos Goulias conducted masterclass
- German Aerospace Center (DLR)coreCollaborative research on shared mobility, urban air mobility, and transport data analysis; Master thesis collaboration; joint workshops with experts from DLR and TUM
- Bundeswehr Universität MünchenminorCollaboration in D-Vanpool project on future of shared mobility and public transport
- Imperial College LondonminorCollaboration in D-Vanpool project on future of shared mobility and public transport
- McGill UniversitycoreCo-organizer of International PhD Colloquium on Urban Mobility alongside TUM and Universidad Politécnica de Madrid
Scale indicators4 records
Recent moves6 records
Expansion highlights5 records
TUM Autonomous Vehicle Systems Lab competitors and assessment
Company assessmentDirect peers
- MIT Autonomous Vehicle Lab: MIT AgeLab and affiliated autonomous vehicle research groups work on driver behavior, autonomous systems, and mobility transformation. Strong overlap with TUM's human factors and autonomous vehicle research chairs.
- CMU Robotics Institute: Carnegie Mellon's Robotics Institute has deep autonomous vehicle research heritage (including the NavLab lineage) and multiple AV-focused labs. Highly comparable to TUM's autonomous vehicle systems, traffic engineering, and networked transport research.
- ETH Zurich Autonomous Systems Lab (ASL): ETH Zurich's autonomous systems research group focuses on self-driving cars, perception, and control. Comparable European competitor to TUM in autonomous vehicle research with strong industry ties.
- University of Toronto Transportation Research Institute: Toronto's transportation research institute focuses on mobility, accessibility, and intelligent transportation. Has a signed MoU with TUM for mobility research collaboration, highly comparable in research scope.
- Tsinghua University Department of Automation: Tsinghua University has long-standing autonomous driving research programs and runs the joint TUM-Tsinghua Summer/Winter Schools. Direct peer in autonomous vehicle and transportation systems research.
- University of Michigan Mcity: University of Michigan's Mcity is a public-private mobility research partnership focused on connected and autonomous vehicles. Compares to TUM's MCube cluster in structure and research aims.
- TU Braunschweig Institute of Automotive Engineering: TU Braunschweig's automotive engineering institute is a co-partner in TUM's DFG AgiMo (TRR 408) Collaborative Research Centre. Peer in autonomous mobility research and one of the leading German automotive engineering faculties.
- Stanford Autonomous Systems Lab (ASL): Stanford's flagship autonomous vehicle and robotics research lab led by Marco Pavone. Focused on autonomous driving, motion planning, and applied ML for mobility — directly comparable in scope and research output to TUM's autonomous vehicle systems work.
- UC Berkeley PATH (Partners for Advanced Transportation Technology): UC Berkeley's transportation research center focused on connected and automated vehicles, traffic flow, and intelligent transportation systems. Directly comparable to TUM's traffic engineering and networked transport chairs.
Regional players
- Karlsruhe Institute of Technology (KIT) - Mobility Research: KIT has major autonomous driving and mobility research programs (e.g., FZI, Test Area Autonomous Driving Baden-Württemberg). Regional German peer competing for similar DFG funding and industry partnerships.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks5 records
Key highlights7 records
Customer concentration
TUM Autonomous Vehicle Systems Lab social profiles
Digital presenceTUM Autonomous Vehicle Systems Lab financial estimates
Financial estimateRevenue estimate
Valuation estimate
TUM Autonomous Vehicle Systems Lab leadership team
Management profileNumber of profiles
Profiles1 record
TUM Autonomous Vehicle Systems Lab subsidiaries and ownership
Company hierarchySubsidiaries8 records
TUM Autonomous Vehicle Systems Lab funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
TUM Autonomous Vehicle Systems Lab M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about TUM Autonomous Vehicle Systems Lab
What does TUM Autonomous Vehicle Systems Lab do?
Conducts academic research and graduate/postgraduate education in mobility systems engineering, with the Autonomous Vehicle Systems Lab focused on autonomous driving, trustworthy autonomy, and applied software development. The department delivers Bachelor's, Master's, and PhD programs in Transportation Systems and Automotive Engineering, and produces peer-reviewed research, simulation tools, and collaborative projects with international academic and industry partners.
Is TUM Autonomous Vehicle Systems Lab a public or private company?
TUM Autonomous Vehicle Systems Lab is a public company. It is classified as state government owned and is currently operating.
When was TUM Autonomous Vehicle Systems Lab founded?
TUM Autonomous Vehicle Systems Lab was founded in 1868. It employs 1 to 10 people.
Where is TUM Autonomous Vehicle Systems Lab based?
TUM Autonomous Vehicle Systems Lab is headquartered in Garching, Bavaria, Germany, in the Europe region.
How does TUM Autonomous Vehicle Systems Lab make money?
Two revenue lines are on record. Public Research Funding is the primary driver. The others are conference and Event Revenue.
Who are TUM Autonomous Vehicle Systems Lab's main competitors?
Direct peers on record are MIT Autonomous Vehicle Lab, CMU Robotics Institute, ETH Zurich Autonomous Systems Lab (ASL), University of Toronto Transportation Research Institute, Tsinghua University Department of Automation, University of Michigan Mcity, TU Braunschweig Institute of Automotive Engineering, Stanford Autonomous Systems Lab (ASL) and UC Berkeley PATH (Partners for Advanced Transportation Technology). Karlsruhe Institute of Technology (KIT) - Mobility Research is listed as a regional player.
Does TUM Autonomous Vehicle Systems Lab have an API?
No public API is recorded for TUM Autonomous Vehicle Systems Lab.
What industry is TUM Autonomous Vehicle Systems Lab in?
TUM Autonomous Vehicle Systems Lab's product category is Academic Mobility & Transportation Systems Research. Its primary akta.pro industry code is HDAAAIAF, Autonomous Vehicles & Ground Mobility, with a secondary code of BPAHAIAC, Transportation & Traffic Engineering Consulting. Its NAICS code is 6113 and its SIC code is 8711.