Abstract
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
movement.
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
movement.
Original language | English |
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Publication status | Published - Jun 2023 |
Event | UITP Global Public Transport Summit - Barcelona 2023 - Barcelona, Barcelona, Spain Duration: 4 Jun 2023 → 7 Jun 2023 https://uitpsummit.org/ |
Conference
Conference | UITP Global Public Transport Summit - Barcelona 2023 |
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Country/Territory | Spain |
City | Barcelona |
Period | 4/06/23 → 7/06/23 |
Internet address |
Research Field
- Former Research Field - Data Science