Service quality in public transport has many dimensions. Accurate predictions, rapid disruption management and demand-oriented services are just a few examples. By deploying AI applications and other data-driven technologies, INIT continues to make public transport more comfortable and attractive.
More reliable departure predictions with AI
Knowing exactly when buses and trains will arrive makes public transport easier to use and more appealing. Reliable departure predictions significantly increase passenger satisfaction and AI can play a decisive role in achieving this.
By analysing historical data alongside real-time operational information, AI dramatically improves forecast accuracy. AI-based departure predictions are an integral part of MOBILE-ITCS nextGen operations control system. The algorithm automatically identifies patterns, selects the most suitable prediction method for each situation and initiates self-learning processes whenever the quality of the prediction method reduces.
Predictable occupancy with AI
Knowing how full a bus or train will be before starting a journey means greater comfort, less crowding and a noticeable improvement in service quality for all passengers. MOBILEguide provides AI-based occupancy predictions that combine real-time data with historical passenger counting data. The system also takes into account how many passengers are expected to alight at the next stop, enabling more precise predictions.
Passengers benefit from a more relaxed travel experience, targeted boarding and the ability to choose the best possible connection. MOBILEguide makes public transport more reliable, comfortable and attractive.
Smart operations management through real-time traffic data
Early detection of potential disruptions is essential for smooth operations. By importing real-time traffic data directly into the Intermodal Transport Control System, MOBILE-ITCS, current road conditions are immediately visible to dispatchers. Congestion, roadworks, accidents and high traffic volumes are displayed in real time with precise georeferencing on the ITCS map display. This enables dispatchers to implement diversions earlier, communicate delays more effectively and closely monitor critical route sections. For passengers, this translates into shorter journey times, fewer disruptions and smoother transfers.
AI-powered security with privacy at its core
Passenger expectations around safety in public transport are rising. AI-based video analysis systems can automatically detect assaults or aggressive behaviour, enabling faster and more targeted responses, whilst fully respecting personal privacy.
INITʼs video analysis system enables AI-based pseudonymisation that protects sensitive image areas directly on board the vehicle. Video footage can be analysed without identifying individuals. When required, authorised parties can perform targeted de-anonymisation, while uninvolved persons remain anonymous.
This creates a balanced approach to security and data protection: In critical situations, law enforcement personnel are granted access to any required information, affected individuals are protected and legal data protection regulations are adhered to.