Public transport data as a key component of environmentally-sensitive mobility management
Source: Adobe Stock
Source: Adobe Stock
A new expert article by Dr. rer. nat. Christine Langhanns, Head of Data Analytics at rms GmbH, has been published in the Kommune Digital Forum. The article explains why public transport data is a key component of environmentally-sensitive mobility management and how it is used in AIAMO for analyses and AI applications.
The focus is on timetable data, real-time information and actual operational data. These form the basis for a nuanced assessment of service quality, accessibility and operational processes. In AIAMO, this data is linked to other sources via the AIAMOnexus and processed for applications such as digital twins, simulations and AI-supported forecasts.
The article also highlights that robust analyses require high-quality data and the integration of various data sources. Only in this way can transport flows be realistically modelled and well-founded measures for environmentally sensitive mobility management be developed.
Read the full article on the Kommune Digital Forum
An example illustrating the use of timetable and real-time forecast data from Leipziger Verkehrsbetriebe (LVB) in a browser-based passenger information system. (Source: rms GmbH)
20.05.2025 - New Expert Article: Innovative AI Applications in Mobility Management in Leipzig & Landau [more...]
06.05.2025 - Press release: AIAMO sets new standards in European mobility management [more...]
17.04.2025 - New technical article: Networking data, rethinking mobility [more...]
10.04.2025 - Leipzig and Landau in der Pfalz presented as the first AIAMO Pilot Regions in the BMDV [more...]
08.04.2025 - Digital twins in mobility management: AIAMO as a practical example in Tagesspiegel Background [more...]
19.03.2025 - New press article: Social mobility as a success factor in the mobility transition [more...]
13.03.2025 - 3rd #AIAMOcamp [more...]
05.02.2025 - New AIAMO series in the German specialist magazine Straßenverkehrstechnik: interview on the potential of AI in mobility management [more...]
24.10.2024 - Optimization and calibration of vehicle following models with drone data [more...]
12.07.2024 - 2nd #AIAMOcamp [more...]
