Who we are: cellumation is an innovative high-tech company offering modular flexible material flow systems for production and logistics markets based in Bremen, Germany. cellumation produces the celluveyor, which is a groundbreaking, modular conveying and positioning system. It consists of small hexagonal conveyor cells with three omnidirectional wheels that are driven by individual electric motors. The cells can be simply clicked together and the celluveyor can take on a layout of any conceivable size and shape. Our individual wheel control allows free transport and rotation of objects in all directions. Complex material flow applications can be realized in the smallest spaces. Cellumation staff has a track-record of technology-oriented research on logistics automation and robotics. With a strong network of interdisciplinary partners and experts, we are looking forward to work as reliable partner in national, European, and international projects.
Our idea: Micro sortation technology to enable consolidation and optimized material flow for last mile scenarios.
cellumation provides micro sortation (material flow) technology to enable smart and green last mile delivery processes. Using this technology, micro hubs can be built that outperform any current approach for last mile / micro hub technologies. We can provide multiple use cases and applications for research projects.
Contact us: firstname.lastname@example.org
Project we are interested in: Advanced multimodal network and traffic management for seamless door-to-door mobility of passengers and freight transport - HORIZON-CL5-2022-D6-02-05
Project results are expected to contribute to at least four of the following expected outcomes:
Improved multimodal transport network and traffic management capabilities, facilitating seamless door-to-door mobility for passengers and freight.
Effective and resilient network-wide data exchange and new integrated data management systems for dynamic and responsive multimodal network and traffic management.
Tested and validated systems for enhanced prediction and resolution of network bottlenecks, substantially increasing safety, security, resilience and overall performance of the entire transport network.
Innovative tools and services for optimising mobility flows of passengers and freight in cities and other operating environments, cutting congestion, journey times and traffic jams across transport modes, and thereby significantly reducing emissions (CO2, SOx, NOx, particles, noise).
New governance arrangements for multimodal transport network and traffic management, in view of further regulatory and policy actions.
High market adoption and transferability of innovations to different ecosystems.
Advanced multimodal network and traffic management capabilities are essential for the efficient operation of the entire transport network and for seamless door-to-door mobility of both passengers and freight. This is even more pertinent in view of new mobility trends and technologies, connected and automated vehicles, new physical and digital infrastructures and innovative services. At the same time however, a number of challenges remain to develop validated concepts and leverage multi-actor data exchange, ensure interoperability of new technologies and develop interfaces across transport modes, as well as to design appropriate governance arrangements for relevant public and private stakeholders.
In this context, building on best practices (technological, non-technological and socio-economic), ongoing projects on multimodal network and traffic management, as well as other initiatives (e.g. the Digital Transport and Logistics Forum), actions should address at least six of the following aspects:
Developing and carrying out validation for multimodal, dynamic, (cyber and physically) secure and resilient transport network and traffic management systems, leveraging state of the art technologies (e.g. artificial intelligence, high-performance computing, edge computing).
Demonstrating effective collection, analysis and use of network-wide fixed and variable data (e.g. using ICT and EU satellite-based information from vehicles, physical infrastructures and users) and developing integrated data management and monitoring systems, for effective and intelligent multimodal network and traffic management.
Developing new methods and tools for harmonised and comparable international monitoring of mobility demand, for passenger mobility and freight transport, including through survey data collection and big data processing, leveraging the opening of service providers’ databases to research and public authorities.
Conducting simulations for system-wide optimisation of demand/capacity balancing for multimodal passenger and freight flows, against foreseen (e.g. traffic disruption due to an important city-wide event) and unforeseen scenarios (e.g. major network/traffic disruption as a result of a hazard manifestation or compromise in transport safety due to a health emergency), to enable real-time prediction and balancing of mobility behaviour, as well as early problem detection and resolution.
Developing and testing network and traffic management visualisation and decision-making tools (e.g. using big data, artificial intelligence, machine learning), while taking into account regular mobility patterns (including soft modes) and user needs of citizens (including vulnerable road users and different gender groups) and businesses, as well as ad-hoc and flexible mobility-on-demand services, in the context of mobility/logistics as a service.
Demonstrating interoperability and enhanced interfaces of network and traffic management systems across stakeholders, transport modes and country borders.
Performing early pilot activities on multimodal network/traffic management, of limited scale and in defined environments, such as in the context of urban mobility of passengers and freight.
Conceiving, developing and preparing the introduction of next-generation multimodal network and traffic management services, provided by public and/or private stakeholders and operationalised at a centralised and/or decentralised level.
Develop and test implementable multi-level governance models, with roles and responsibilities for public and private stakeholders to share data and engage in transport network and traffic management functions, providing recommendations for further regulatory and policy actions.
In line with the Union’s strategy for international cooperation in research and innovation, international cooperation is encouraged.