The comparison found that there was a strong correlation between the counts and the measurements the algorithm was able to produce.
One of the key findings from the study was that travellers do not necessarily always decide to go the shortest route when planning their travel journey.
"Sometimes, the shortest distance may also not be the quickest route due to congestion. As such, the most time efficient route between two MRT stations may be difficult to determine for commuters.
"With the implementation of the trip database, we are able to determine the popularity of routes between stations (i.e. the number of people taking any route between two given stations), as well as the average travel time per route."
The current methods of measuring 'crowdedness' and how people flow through a subway network have their shortfalls, the authors said. Video or CCTV and Wi-Fi cannot measure travel times between stations and smart ticketing cards, which give tap on and tap off data points for each traveller, do not capture line transfers.
"Cell phone location data are capable of addressing the information gaps in the approaches above."
The authors are looking to extend their measurement system to also include outdoor trips.
Source: CIO Australia
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