Optimisation of traffic flows and modes of transport
The Future of Mobility
The use of artificial intelligence (AI) makes the mobility of the future easier, more comfortable, more efficient and safer. In the process, AI (artificial intelligence) connects and automates public transport and individual transport services – and does so with the involvement of all necessary stakeholders. These potentials for digital transformation are united centrally in order to master all disruptive effects of future transport development.
Our AI offers you Unique Solutions for
Intelligent Use of Mobility Data of All Kinds
The intelligent use and analysis of data is essential for the realisation of multimodal mobility. The key technology required for this is machine learning (ML) methods and models from the field of artificial intelligence.
Existing data and sensors form the basis for the application of artificial intelligence. Networked vehicles and infrastructure systems provide information in real time. In addition, road users are also contributing ever new and constantly growing amounts of data, for example via mobile devices.
AI-Powered Multimodal Mobility Management
Better Traffic Management
This information can be used to train algorithms that recognise patterns and derive decision rules automatically. Based on this, DATAbility provides intelligent functions as well as AI-supported applications and services that enable better traffic management. The latter is particularly important for the smooth operation of multimodal services. DATAbility offers you monitoring and predictive operation of fleets and individual assets such as trains, trams, buses, taxis, sharing cars or e-bikes.
In order to ensure an effective and efficient urban mobility ecosystem in the face of increasingly complex transport requirements, we offer you a holistic concept for your mobility management.
Providing Smart Mobility Services
DATAbility offers the central consolidation and utilisation of all available mobility data. This data is made usable with artificial intelligence (AI) and machine learning (ML) methods. The AI modules offer public transport, municipalities and cities as well as mobility providers the optimal conditions for future-proof and trend-setting mobility management.
Personalized Mobility Services
Mobility recommendations can incorporate real-time traffic conditions, service availability, environmental data and individual requirements. This enables more accessible, reliable and convenient mobility experiences across different modes of transport.
More Efficient Network Operations
Traffic and capacity forecasts help operators coordinate fleets, routes and existing infrastructure more effectively. Resources can be deployed where they are needed, reducing congestion, unnecessary journeys, energy consumption and emissions.
Predictive Traffic Management
AI-based models identify emerging deviations, capacity bottlenecks and potential disruptions at an early stage. Operators can evaluate suitable countermeasures and adjust routes, schedules or vehicle deployment before service quality is affected.
From Prediction to Coordinated Action
By connecting forecasts with operational processes, mobility data becomes more than a source of information. It provides the foundation for earlier decisions, coordinated responses and continuously improving transport services.
Predictive Mobility Operations and Traffic Management
Are you interested in what AI can do for you?
Start with our free workshop to identify opportunities and risks of your specific use cases in advance.
