Background

Inclusion, i.e. not excluding anyone and taking individual needs into account when shaping society, means more than physical accessibility. In the mobility sector in particular, along with the reduction of structural barriers, digital and social barriers play an important role. To overcome these, digital applications based on open data and interfaces are needed. They are indispensable for non-discriminatory mobility solutions. For example, raw data can be merged and refined to create a new type of wayfinding system, intelligent traffic lights or AI-supported road signs to protect vulnerable road users. With data, real participation becomes possible: for people with and without disabilities, in urban and rural areas, for old and young, for all genders and for people with a migration or refugee background. However, data not only connects, it also strengthens participation. Today, everyone can share data and thus actively contribute to improving public transport, for example.

In the face of these multifarious, seemingly unlimited possibilities, creativity and the cooperation of a wide range of actors is required. The role model function of (data) initiatives from pilot regions helps here. They can set an example and lead the way for others. In particular, those actors who have so far been less able to make extensive use of the potentials of digitalization, but who often have a particularly high demand for expansion of existing mobility offers, can also benefit from this.

Challenge

In this challenge, specific questions on inclusion and participation in the mobility sector are to be addressed. Innovative approaches are required that use and combine different data in order to contribute to inclusive mobility with new and better designed mobility offers. In addition to comprehensive traffic flow data, socio-structural data from surveys are also provided.

As an ambitious pilot region, the Hanseatic City of Hamburg will present current challenges and, being the host city, it will also take on the role of data provider. Transport associations will provide further data. Inclusion also means that as many cities and rural regions as possible throughout Germany are to benefit from the DataRun.

Background

The Federal Maritime and Hydrographic Agency (BSH) is a higher-level federal authority and an executive agency of the Federal Ministry for Digital and Transport (BMDV). It is responsible for the departmental maritime research in the Federal Republic of Germany. Around 1,000 employees from over 100 professions work at the two offices in Hamburg and Rostock as well as on five ships. Marine surveys, wreck searches, oceanographic surveying, compilation of official sea charts, support for the upgrading and development of offshore wind energy in the German EEZ of the North Sea and Baltic Sea are among its tasks, as are the promotion, safety and monitoring of maritime shipping. As the German flag State administration and service provider for the maritime industry, the BSH supports the industry with permits, liability certificates, product testing, approvals and data. In application-oriented research, it works on the continuous further development and improvement of knowledge on the sustainable use and protection of the seas. The BSH's work supports the implementation of the goals of the Ocean Decade.

To work on and with the oceans, data with spatial and temporal reference from nautical hydrography, oceanography, marine geology and marine environmental monitoring is required. On the one hand, these are basic geographic data, which are comparable to onshore topographic data. On the other hand, special geographic data make thematic data from the respective subject areas with a spatial reference available.

Challenge

Geodata are the basis of information on the safety and security of maritime shipping and the protection and sustainable use of the seas. Statements on the protection of the population and of natural resources – for example in the context of spatial planning or the safety and ease of shipping traffic, the protection of the marine environment or the prevention of disasters – are no longer conceivable without a coordinated and meaningful application of geodata. However, special applications developed by specialist departments are often based on data that has been collected, processed and evaluated in isolation. Often, these applications no longer meet today's demands on the quality and processing of data. Therefore, a subject-specific application of geodata alone does not produce optimal results. By linking different specialist systems with their special tasks, it is possible to cover the information needs, to create synergies and to better answer open questions together.

We would like to see applications developed within the framework of the 5th BMDV DataRun that unite and connect data from different areas in such a way that questions can be answered and activities on and at the sea can be supported. Where it makes sense, data from outside the BSH (e.g. meteorological information from the DWD) should also be accessed.

Background

Data creates mobility: it simplifies commuting, travelling or the transport of goods. Mobility-related data offers us enormous potential for value creation, which can be used to develop innovative mobility applications that will make tomorrow’s mobility more sustainable, user-friendly and safer. Whether it is cross-modal logistics planning or intelligent traffic control – digital mobility applications require, in particular, the networking of information from multiple organizations. As the "facilitator" of this networking, it is the Mobility Data Space that brings together various data providers, data consumers and data processors on an application-specific basis.

Challenge

Logistics and traffic optimization within the framework of port operations in Hamburg

The goal of this challenge is to combine existing datasets to make logistics in the Port of Hamburg faster and more efficient. For this purpose, the Hamburg Port Authority (HPA) is making available various datasets. Furthermore, various Open Data datasets can be used, which contain, among other things, information on slot occupancy at the individual terminals in the Port of Hamburg.

By linking port area traffic flow data and HGV slot utilization data, for example, HGV idle times and flows of goods can be controlled in a more targeted and efficient manner. In this way, the transport volume can be significantly increased with the help of digital applications.

The aim of the challenge is to develop innovative solutions for logistics optimization based on sample data.

Background

Making active use of existing mobility data, merging and refining them with additional data as well as generating, collecting and making new mobility data available is becoming more and more important. This applies to all actors from civil society, business, media, academia and politics. Therefore, the Federal Ministry for Digital and Transport (BMDV) has set itself the objective of significantly stepping up the provision of mobility data and their responsible use. Accordingly, the range of data platforms provided by the federal government is broad, and the mFUND innovation initiative already supports ambitious data-driven projects for the mobility of the future in a variety of ways. In order to make effective use of the enormous innovation and value creation potentials of existing data for the transport system of the future, the ingenuity and creative power of digital pioneers in business, academia and administration are required.

The aim of the mFUND is to use data innovations to prepare efficient, sustainable, competitive and future-proof mobility offers, contribute to the further digitalization of municipalities and authorities as well as make developments in civil society transparent and participation possible.

Challenge

This open challenge provides all participants with a particularly extensive experimental field to develop digital approaches which make mobility more sustainable, more efficient and better. In doing so, we look forward to great ideas that show how important access to and the availability of open data are for research and development.