Passenger Flow Prediction to Optimize Vehicle Utilization

Roman Schwarz (Vortragende:r), Benjamin Albrecht, Joachim Pargfrieder, Benedikt Haecker, Anita Graser, Peter Widhalm, Christian Kogler

Publikation: Posterpräsentation ohne Beitrag in TagungsbandPosterpräsentation ohne Eintrag in Tagungsband


To optimize the profitability of metro systems, operators are
looking for ways to increase their overall transport capacity
worldwide. On the rolling stock side, there are strict limitations due
to the existing train control systems and the infrastructure.
For many operators, a decrease in cycle times is technically
impossible or commercially unfeasible.
So the most efficient way to address this problem is to change
passenger behavior, while taking into account the cultural
background of riders to achieve better vehicle utilization. Improved
passenger distribution within a train reduces dwell time, making it
possible to optimize system capacity.
The project leverages software and hardware already present in
current metro trains (such as CCTV cameras and passenger
announcement systems) to analyze passenger flow and
PublikationsstatusVeröffentlicht - Juni 2023
VeranstaltungUITP Global Public Transport Summit - Barcelona 2023 - Barcelona, Barcelona, Spanien
Dauer: 4 Juni 20237 Juni 2023


KonferenzUITP Global Public Transport Summit - Barcelona 2023

Research Field

  • Data Science


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