FPOplus is a joint research project to develop an AI-based solution for better forecasting ability in flow management of passenger transfer in real time through integration and transfer of innovative radio technology and prediction models. It is funded by the Innovative Network Technologies (InnoNT) tender of the Federal Ministry for Digital and Transport (BMDV) and is carried out together by the partners HafenCity University Hamburg (HCU), Hamburg University of Technology (TUHH), Universität zu Lübeck (UzL), University of Kaiserslautern-Landau (RPTU) and in collaboration with Breuer Nachrichtentechnik GmbH and Deutsche Bahn AG.
Optimization plus
Using 5G communication networks and artificial intelligence (AI), the project Fahrplanoptimierung plus (schedule optimization, FPOplus) seeks to optimize transit timetables while tracking the flow of passenger movements in real time. This data can be integrated into a digital twin model to improve station traffic management, optimize train schedules based on real-time data, decrease delays and to make it easier for passengers to navigate in unknown urban spaces. Overall, it makes urban mobility easier and more effective.
AI Predictions for citizen mobility
In prediction models for passenger flows, FPOplus uses a variety of data sources such as timetable data, weather information and event data to take into account short-term changes in mobility behavior. An AI system processes real-time data from 5G position tracking and various sensors (e.g. radar and cameras) in compliance with data protection regulations and combines all data sources in a digital twin of the station. A realistic simulation environment allows to examine different scenarios and further develop the models. In this way, possible bottlenecks can be precisely predicted, the usable capacity of urban infrastructure can be increased and delays in train traffic due to overcrowded stations can be avoided.
Innovative mobile networks
The movement of passengers in train stations is tracked in real time using cutting-edge mobile networks, particularly 5G and OpenRAN with positioning capabilities. This makes it possible for passengers to use an indoor navigation app on the smartphone for conveniently navigating within the train station – reaching the right bus, train compartment or other points of interest on time.
German Federal Research Project
FPOplus is a joint research project funded by the Innovative Network Technologies (InnoNT) tender of the Federal Ministry for Transport (BMV). It is carried out together by the partners HafenCity University Hamburg (HCU), Hamburg University of Technology (TUHH), Universität zu Lübeck (UzL), University of Kaiserslautern-Landau (RPTU), Breuer Nachrichtentechnik GmbH and in collaboration with Deutsche Bahn AG.
HafenCity University Hamburg (HCU)
Prof. Dr. Jörg Müller-Lietzkow
President of HafenCity University Hamburg (HCU) and Professor of Economy and Digitization
Dr. Ayse Glass
Project Management
Prof. Dr.-Ing. Harald Sternberg
Chair of Hydrography and Geodesy
Prof. Dr.-Ing. Youness Dehbi
Chair of Computational Methods
University Kaiserslautern-Landau (RPTU)
Prof. Dr.-Ing. Hans D. Schotten
Head of Institute, Division of Wireless Communications and Radio Positioning (WICON)
Universität of Lübeck (UzL)
Prof. Dr. Stefan Fischer
Director of Institute of Telematics (ITM)
Prof. Dr.-Ing. Nele Rußwinkel
Head of Institute of Information Systems (IFIS)
Hamburg University of Technology (TUHH)
Prof. Dr.-Ing. habil. Alexander Kölpin
Head of the des Institute of High-Frequency Technology
Prof. Dr.-Ing. Andreas Timm-Giel
President of Hamburg University of Technology (TUHH) and Head of the Institute of Communication Networks
Breuer Nachrichtentechnik GmbH
S-Bahn Hamburg
