TfL to track Wi-Fi connections of London Underground passengers

Transport for London (TfL) will monitor Wi-Fi connection request data from London Underground passengers’ smartphones.

TfL to track Wi-Fi connections of London Underground passengers

It will do this as part of a four-week trial, from Monday 21 November, in a bid to get “a more accurate understanding of how people move through stations, interchange between services and how crowding develops”.

Currently, TfL only captures and analyses data when people have tapped in to enter a station, and when they tap out using data from the contactless machines that accept Oyster cards, debit cards and credit cards.

The trial will consist of collecting Wi-Fi connection requests from mobile devices as customers pass through stations. When a device has Wi-Fi enabled, it will keep searching for a Wi-Fi network by sending out a unique identifier – better known as a media access control (MAC) address – to nearby routers.tube_barriers_apple_pay_mastercard

That data is then “automatically de-personalised” to avoid any issues it could have with privacy, and is then analysed by TfL. The aim is to get a better picture of how passengers are using the Tube network and use this information to make any necessary changes.

TfL hopes to use this data to increase revenue from companies that advertise within stations – it can do this by showing interested parties where the biggest footfall within a station is, and charge premium prices accordingly.

Shashi Verma, chief technology officer (CTO) at TfL, said: “The short trial will help us understand whether Wi-Fi connection data could help us plan and operate our transport network more effectively for customers.”

“Historically, if we wanted to know how people travelled we would have to rely on paper surveys and manual counting, which is expensive, time-consuming and limited in detail and reliability. We hope the results of this trial will enable us to provide customers with even better information for journey planning and avoiding congestion,” he added.

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