INIT to present the future of public transport IT at IT-TRANS
INIT, the world’s leading provider of integrated IT solutions in public transport, will showcase the latest developments in its MOBILE integrated planning, dispatching, telematics and ticketing system at IT-TRANS 2022, at stand F3 in hall 1.

As part of its “nextGen” innovation campaign, the company is currently working on the next generation of its integrated MOBILE solution, which covers all tasks faced by transport companies. The “nextGen” products and solutions will allow transport companies to further improve efficiency and service quality. Partial automation, optimisation tools, assistant systems and machine learning are opening up whole new possibilities here. Visitors to INIT’s stand at the trade fair will be able to find out more about the MOBILE nextGen system in general and take a look at the solutions it offers. These include the all-new support system for control centres.
Rethinking passenger information and disruption management
With RESPONSEassist, INIT is revolutionising passenger information and disruption management, with information available to passengers immediately on all channels. The semi-automated system integrates dispatching, passenger information and operating documentation processes, and will provide a whole new level of support to staff in the control centre. It will allow planners to process disruptions more efficiently through a form-based procedure with defined recommendations, while simultaneously meeting the needs of operational reporting. Alongside this, accurate passenger information can be generated largely automatically through predefined templates and then provided consistently across all channels at the click of a button.
Listen to the Market Update Forums for more information:
- Using technology for building future cities, Dr Jochen Wendel, R&D Manager, INIT
Market Update A, 11.05.2022, 09:30 - 11:00 MESZ
Meeting the new requirements of passenger service
The “nextGen” innovation campaign is also employing artificial intelligence (AI). Machine learning improves forecasts of all kinds, from expected arrival times to vehicle occupancy. This technology is being used to great effect in MOBILEguide, INIT’s new solution for passenger flow and occupancy management. In a patented process, INIT not only takes current vehicle occupancy levels into account, but also considers the number of passengers expected to get off at the respective stops. This makes the information more reliable in a way that conventional systems simply cannot achieve. As a result, passengers receiving information via apps, for example, can choose the connections that are least busy.
Revolutionising operational management and departure time forecasts
MOBILE-ITCS nextGen, the new generation of INIT’s Intermodal Transport Control System, has also undergone a complete revamp. A modern interface with UX design and several new functions allows dispatchers to work faster and more intuitively. Machine learning significantly increases the accuracy of departure time forecasts and improves the quality of passenger information. There are also countless other additional functions available. For example, MOBILE-ITCS nextGen is already equipped for the specific needs of electric buses. This is based on a new database-neutral system architecture that can support future operating systems, ensuring not only future capability but also meeting the conditions for increased IT security.
IT support at a new level
On top of all this, INIT will present a range of additional new and modified solutions at its stand (F3), offering public transport companies even better IT support for tasks and processes. INIT IT systems will in future deliver a wider range of more precise information and recognise situations automatically. They will also be available as cloud or web-based solutions. Furthermore, automated or semi-automated processes will accelerate reaction times and ensure service quality.
Visitors to IT-TRANS will be to find out more at the INIT stand F3 in hall 1, or on our website. We would be happy to arrange an appointment for your visit to the trade fair.