Skip to main content

Trafik Stockholm uses data gathered from Bluetooth and Wi-Fi to alleviate congestion

Trafik Stockholm (TS) has chosen Blip Track technology from Denmark-based Blip Systems to alleviate congestion on the city's road by providing live traffic information via real-time and historical travel flow data from road users’ Bluetooth and Wi-Fi devices. Travel times are continuously updated in line with the behaviour of road users so that by considering their route and the time they depart, they can help to reduce bottlenecks and keep traffic moving. The technology provides a birds-eye view of the
November 20, 2017 Read time: 3 mins

Trafik Stockholm (TS) has chosen Blip Track technology from Denmark-based Blip Systems to alleviate congestion on the city's road by providing live traffic information via real-time and historical travel flow data from road users’ Bluetooth and Wi-Fi devices. Travel times are continuously updated in line with the behaviour of road users so that by considering their route and the time they depart, they can help to reduce bottlenecks and keep traffic moving.

The technology provides a birds-eye view of the traffic network and statistical information on the travel times, average speed, dwell times, and movement patterns.

Additionally, the empirical data is used to detect driving time anomalies to pinpoint road sections and intersections where driving times deviate from the norm. These can include scenarios such as construction projects, incidents, roadwork, faulty traffic lights and other factors.

If driving times deviate from the typical driving time, the system automatically raises a flag. As the system logs and visualises all deviations, traffic engineers can create historical performance and reliability reports. Managers are provided with an overview of the current situation and tendencies over time, to allow for road improvements and development where needed.

Otto Astrand, traffic analyst at TS, said: “We use the data for measuring the development in traffic density, speed and congestion. South of Stockholm, where we first installed the solution, will be a roadwork zone for many years ahead, when building the Stockholm Bypass. It will not only affect the main highway (E4) running through the work zone, but also the surrounding roads. With BlipTrack we are able to measure the capacity and traffic flow in real-time in and around the area. This allows us to take proactive steps to initiate countermeasures, if traffic build-up should occur. It also helps us to understand various traffic-related matters, such as the impact of traffic control, weather-related patterns, congestion patterns at roadworks, accidents and events, and driving behaviours and patterns. With this information, we can evaluate and validate existing traffic models and make informed decisions about where to prioritise expansions and optimisations to help the daily commute.”

Astrand added that the analysed data is also used to display live traffic information on signs around the city. “We also use the data to display live travel times via Trafiken.nu, which is our traffic information hub, and on around 40 VMS [variable message signs] placed around the city. The travel times help road users to make informed decisions about their journey, both in real-time and for those planning their daily commute."

Related Content

  • Indra project aims to develop automated vehicle occupancy identification
    September 1, 2017
    Technology company Indra is leading the European R&D&i project BeCamGreen, which aims to develop a solution based on computer vision and big data, to contribute to reducing traffic, that enables the automated identification of vehicle types and their number of occupants, in real time and with precision.
  • Jacobs buys StreetLight Data
    February 8, 2022
    Mobile data specialist marked out by Jacobs as useful player in changing transport sphere
  • Peachtree trials smart traffic signal app
    March 4, 2022
    TravelSafely provides audible warnings to drivers about potential red-light running
  • Programming a smoother commute
    January 18, 2013
    Work being carried out by the University of Toronto’s Intelligent Transportation Systems Centre could have a beneficial effect on the city’s congestion problems. Says Professor Baher Abdulhai of the Centre, "Everybody realises that we have a big congestion problem in Toronto and the scarier part is that it's getting worse, exponentially." One of the solutions he's working on is smarter traffic lights using artificial intelligence to control the flow of traffic. "Each traffic light would learn how to time i