
CITIZEN AIMED
LIVING LABS FOR SMART
MOBILITY SOLUTIONS
The CALL4SMS Platform development
CALL4SMS PLATFORM FRAMEWORK
2020: Business Framework, Specification
2021: Factory Tool Development,
2021-2022: Checking the Viability of Factory tools through pilot testing

ACTIVITIES
The central product/service of the project is a common CALL4SMS platform, which can provide unified platform services to all those, who wish to test new connected and automated mobility SMS in urban environment. This way cities equipped with urban mobility sensors can sell their aggregated urban mobility data to industry, using a proper methodology provided by academia, also focusing on citizen involvement issues. The unified CALL4SMS platform services will be offered by boundary spanning organization(s) (joining the different interest of city, academia and business). The target groups are local SMEs, start-ups; testing companies @ proving grounds; and multinational firms interested in SMS testing; early adopters can be the firms already tested their SMS in the proving grounds of the participating regions and wish to test these in urban setting as well. With the CALL4SMS alliance, partners can offer out each other’s environment for their local testing companies, so the reach out rate of each testing area can be multiplied and the bases for an EU scale urban connected and automated SMS testing established. The project will provide:
- Income for data usage for cities;
- Income for the platform operator for providing services to industry willing to test SMS in urban environment;
- Additional tax revenue for cities from new businesses developed using the platform;
- Cost reduction for city management for using newly developed SMS in the cities.

Design concept- State-of-art-assessment
Design concept- State-of-art-assessment
The design concept task' main aim is the preparation of the CALL4SMS platform development. In order for this to be successful, the user wants, requirements will be defined according to specific user groups, the assessment of user cases will be implemented. Exploring the regulations and standards in detail will be a key component, as the system will be serving the needs of the cities as well as making sure business processes are well contemplated. Data protection and security are particularly important aspects, which will receive special attention within the project. The already existing urban mobility infrastructures, solutions, solutions along with business cases within the participating regions that are currently operating or are under development will be analysed. KPIs will be determined in order to focus on performance and the quality of outcomes. The planned tasks are the following:
- Cities determine the specific requirements (Helmond, Milan, Munich, Vigo, Zalaegerszeg);
- Best available technologies (BAT) and initiatives will be collected in the participating regions (Eindhoven, Galicia, Milan, Munich, Stockholm, Zala);
- Identification of citizen involvement possibilities and options for the platform will be implemented;
- Clarifying issues and removing barriers from the implementation of the state-of-the-art innovations and technologies that are necessary for the developmentof the CALL4SMS platform.

Platform
business model
design
Platform business model design
The initial task of the work package is to establish a common lean canvas business model, by first, creating the individual lean canvas models for the participating cities (Helmond, Milan, Munich, Vigo, Zalaegerszeg), which would then serve as inputs for the common model. These individual lean canvas models will jointly be analyzed, synergies detected, and the common business model will be transferable and replicable for all participating cities. As the following step, a draft platform business model will be created, which is to design the platform-based business model for city testing, determining roles and interactions of owners, developers and partners. As the final step of the process, a final platform business model study will be created, in order to analyze the current methods and solutions of the automotive industry and other key players in the field. Based on the platform business model and the thereby recognized business requirements, the supply from the cities can be aligned with the demand from the future clients of the platform, thus enabling the project to be functional and sustainable on the long term.

Specific design
of the CALL4SMS
platform
Specific design of the CALL4SMS platform.
After all requirements are analysed and collected, the appropriate system logic will be developed. The necessary hardware elements along with the software architecture modules will be designed: A powerful data collection tool will integrate specific sensor types; User experience and feedback will be collected through special sensor specifically designed for this purpose; The platform data will be managed in a database, managed through a secure and suitable infrastructure; traffic scenario analysis will also be supported simulation; aggregated data will be available on city dashboards; a system maintenance module and external APIs will support platform management and interconnection. The platform will be designed to be open for further development on application level using aggregated and impersonated data.

BUILDING A MOBILITY ECOSYSTEM //
KNOWLEDGE TRIANGLE

ZONE
Cluster

ZONE Cluster
ZONE Cluster is a core Industry and RIS partner of the EIT UM and the cluster management organization of the Connected and Automated Mobility Cluster of Zala, which was established by leading Hungarian information technology, electronics, UTM, and automotive companies, with the goal of institutionally connecting research, development and innovation capacities in the field of intelligent transport systems.

Škoda
Auto

Škoda Auto
Real experience with providing of smart mobility services. Possibility to deliver MaaS know-how and services in the form of in-kind contribution. Added value for the project in following fields: MaaS, X-sharing services, data and software solutions, VoD/MoD, AI. Additionally, complete background of world-famous car producer incl. R&D, business or logistics experience etc. Thanks to the fact ŠKODA AUTO DIgiLab provides its own MaaS, various mobility data are available to feed the Lab.

City of
Munich

City of Munich
Associated city partner, Munich will be the example city in developing realistic development scenarios and deduces policy recommendations within the framework of opportunities, risks and questions resulted by autonomous driving. Munich works together with the local transport company, a car manufacturer, universities and planning bureaus.

City of
Milano

City of Milano
The city will participate so that the CALL4SMS solution can address the requirements of a Central megalopolis. Municipality of Milan is committed to promote smart mobility, improving public transport and implementing measures to facilitate walking, cycling and car sharing.

City of
Helmond

City of Helmond
Helmond is a medium sized city in the south of the Netherlands, with presently about 90,000 inhabitants and is part of the Brainport area, one of the three most important economic areas in the country. Innovation is the keyword here and for Helmond the focus lies on innovation on the fields of automotive and mobility. Helmond is home to the Automotive Campus, where over 35 companies work on innovative mobility solutions.

Eindhoven
University of
Technology

Eindhoven University of Technology
During citizen involvement the vital requirements to be a success is to take travelers’ constraints and preferences into account. Multi-state super network, which is an advanced scheduling system and developed in urban planning and transportation group in TU/e, can serve as the backbone for constructing such a system. Various objectives can be set within the system for the optimization purpose. The objective could be minimizing the total system travel time or minimizing generalized cost which itself can encompass the emission component (Co2 and others). The TU/e is holding a great deal of expertise in the fields of Intelligent Transport Systems, Automotive Technology, Logistics and Urban Planning Systems, and ICT/embedded Systems.

KTH
Royal Institute
of Technology

KTH Royal Institute of Technology
KTH will contribute to tackling the challenge of big data management, more specifically:
Provide tools and develop methods for citizen participation
Develop models for cloud solutions and network architectures low-latency automotive services.
Develop methods for analysis of collected infrastructure and traffic data.
Develop methods to predict the condition of bridges/roads using sensor data measured in vehicles (on-board sensor systems).
Develop method for sharing of sensor data measured in bridges/roads with the users to inform about the road/bridge condition (e.g. slippery, strong wind etc.).

Automotive
Technology Center
of Galicia

Automotive Technology Center of Galicia
CTAG is a Technology Centre whose facilities comprise 36.000 square meters of dedicated high-tech laboratories, a full-car driving simulator, HW&SW development facilities, and proving grounds simulating urban areas to test and validate in a controlled environment prototypes and driving functions. Moreover, CTAG has set up and manages a cross-border (Portugal/Spain) urban and inter-urban intelligent corridor (called SISCOGA) for testing V2I and V2V technologies in the City of Vigo an its suburban area.

Budapest University
of Technology
and Economics

Budapest University of Technology and Economics
BME is interested to receive relevant information about existing mobility initiatives and best practices. We want to take part in the development of new concepts and tools, which are in line with European trends. The analysis of best practices and the highlighting of strengths and weaknesses of current initiatives help us to create new seamless mobility strategies. Through the strategies we will be able to define new research directions in the field of mobility and develop new method of transportation related solutions.
PROPOSAL / OPPORTUNITY
FOR FINANCIAL SUSTAINABILITY MECHANISM

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