MOVIONICS
Fundamented decision-making basis for autonomous mobility
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We evaluate the potential of fleet and traffic system automation using data-based simulation and optimisation models.
OUR VISION
Redefining the future of mobility
At movionics, we are convinced that the future of mobility will be shaped by the integration of autonomous vehicles into urban transport systems. Our mission is to enable this transformation without damaging existing systems and to ensure maximum integration.
OUR COMPETENCE
Research, simulation, analysis
We have years of in-depth research expertise in automated on-demand transport systems and innovative software solutions for their integration into existing systems.
OUR SERVICES
We provide reliable decision-making bases for municipalities, districts and transport associations that want to examine the use of autonomous vehicles (e.g. on-demand shuttles) and integrate them into existing transport systems.
Potential assessment / Cost-benefit analysis
Deployment planning / ODD / Detailed simulation
Tender support / operator selection
TEAM
movionics was founded to put the transition to autonomous mobility on a robust, data-driven foundation. Instead of making assumptions, we combine agent-based simulation models, optimization methods, and AI-supported analyses to make the technical and operational potential of automated fleet and traffic systems tangible.
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Our team brings many years of research experience from the Chair of Traffic Engineering at TUM — from the simulation of autonomous ride-pooling services and the regulation of automated mobility systems to the integration of new forms of mobility into existing transport infrastructures. We combine this scientific depth with a clear objective: to provide decision-makers in politics and business with sound, comprehensible foundations for investments in the mobility of tomorrow.
WHY US?
WHY US?
WHY US?
WHY US?
WHY US?
Comparable scenarios: Status quo vs. conventional on-demand vs. autonomous operation
Reliable key performance indicators : costs, service quality, demand potential, efficiency
Clear decision logic: useful/limited usefulness/currently not useful
Specific options for action: suitable areas, operating hours, fleet sizes, concessions
Policy-relevant and eligible results: understandable, transparent, and documentable.
OUR PARTTNERS:
