Deutsche Telekom has announced that its subsidiary T-Systems will demonstrate AI-based image analysis for passenger counting and smart displays for passenger information at the IT-TRANS, the leading International Conference and exhibition focused on IT solutions for Public Transport, between 10 and 12 May, 2022.
The company will showcase synchronized cloud-based management of control systems in transport districts as well as smart solutions for electromobility in public transport.
Passengers want attractive, clean, barrier-free and well-developed public transport. In addition, good connection and transfer possibilities to other means of transport such as bicycles or e-vehicles, bicycle fast lanes into the city centers and sharing offers. How can public transport show that it gets passengers to their destinations individually, easily and in an environmentally conscious way?
Dynamic passenger information from T-Systems generates precise arrival and departure forecasts from timetable data and real-time vehicle locations. Passengers automatically receive up-to-date information about their connection. Predefined texts support transport operators in providing additional information.
The heart of public transport is the control system. The Intermodal Transport Control System from the cloud enables the interaction of all systems. Intelligent data management provides a holistic overview in real time and allows smooth operations. A modular architecture and open interfaces ensure expandability and networking with adjacent systems, for example in conurbations. If lines run in the network of several transport companies, their control centers must be synchronized. The multitenant solution also allows to combine their control centers in the transit district, for example at night. A live overview, independent of the different control systems, shows current operations at a glance. The focus is on possible disruptions in order to quickly initiate measures.
AI-based image analysis provides transit operators with a passenger count for capacity planning and dispatching, plus information on passenger behavior: Data privacy-compliant image analysis occurs in real time in the vehicle. This is done via local edge computing, so the images are analyzed directly in the vehicle and are not transmitted. The solution determines the number of passengers, seat occupancy, detects wheelchairs, strollers and bicycles. It captures the time spent in the vehicle. It also identifies unusual or dangerous situations at stations, such as crowds and panic, people on the tracks or in tunnels, as well as blockades of escape routes.
Andy Lesser, Responsible for Mobility, Transport and Logistics at T-Systems
Local public transport is one of the key levers for achieving climate targets in Germany. New forms of mobility and the ecological rethinking are leading to the development of an increasingly multimodal mobility world, in which classic local and long-distance public transport and the private motor vehicle form an environmentally conscious synthesis with alternative forms of mobility.
