State of the art analysis – Niklas Lindqvist
In 2015 a
student at KTH, named Yizhou Zhang, did his Master of Science thesis in the field
of “Real time crowding information” (RTCI). The concept was to help passengers
plan their travel and allow operators to utilize there limited space in a more efficient
manner. Four systems was used: projection system, communication system, speaker
system and recording system.
The English
version of the speaker system was in five short messages as followed:
“1).
Welcome to Tekniska Högskolan, here is real-time crowding information for the
next metro.
2). The
first unit train is almost full, it is overcrowded &The first unit train is
half full with some standing areas &The first unit train is less crowded,
it might have seats left.
3). The second
unit train is almost full, it is overcrowded &The secondunit train is half
full with some standing areas & The Second unit trainis less crowded, it
might have seats left.
4). The
last unit trainis almost full, it is overcrowded &The last unit train is
half full with some standing areas &The last unit trainis less crowded, it
might have seats left
5). We wish
you a pleasant journey in Stockholm.”
The
projection system had a display next to the already existing information
provider at the subway station.
All of the
systems was tested at the subway station at KTH with good results. Three types
of data was analysed: “passenger load data analysis, video record analysis and
interview result analysis”.
Link to the
report:
This report
shows that with the right information given in a clear way passengers feel more
satisfied with their travelling as well as utilizing the space in a better way.
About 90% of the passengers felt more satisfied with the RTCI system and 43% of
the interviewees thought that the information was useful for them. The video
analysis showed that 25 % of the passengers changed there position on the
platform thanks to the information provided. Also 8 % more travelers chose the last
cart of the subway and a 4% decrees in passengers where showed in the first and
middle cart.
This study brings great ideas that we might want to use in our own project!
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