Intelligent traffic system

The project

Traffic congestion is a huge problem in urban areas. In Stockholm, car owners spend about 16 workdays stuck in traffic each year. Public transport is also affected by this, and during rush hours, bus services can suffer huge delays.

The objective of the Spatial Modelling Analytics & Real-time Tracking (SMART) Mobility Project is to mitigate growing urban traffic congestion challenges and associated issues of environmental degradation, economic inefficiency and negative impacts to the quality of life of citizens.

SMART Mobility will revolutionise the efficiency of traffic and commuting in cities by leveraging the capabilities of new 4D spatial technology and analysis platforms using real-time vehicle location and various movement data.

Several data sets

The project will use data from many different sources, including:

  • Wifi data from Bumbee Labs. Position data is collected when smartphone searches for WiFi-connectivity. Bumbee Labs technologies utilizes this for crowd measurements and pedestrian flow, which is compliant with GDPR regulations.
  • Vehicle data from Ramboll, Inrix and Tomtom. Through GPS, data such as speed and route can be obtained.
  • Crowd data from Tre. Anonymize crowd data obtained from different sources, like cellular data and WiFi.

Project period



Bumbee Labs


Eleonor Sjödin Turah


SMART is a project that aims to create more effective traffic planning, with focus on public transport. The project will result in a prototype for a new platform, where many different data sets will interplay with AI technologies to predict congestion and plan routes accordingly.

The platform

The platform will be open and transparent for information and data exchange. The data sets can then be used for new types of services and applications, such as new routes for public transport and analyzing the size of a bus fleet. Through visualisation, this can be used to plan for a more effective public transport. In the end, this will benefit the end users – the travellers.

The project

The project aims to:

  1. Conduct three use cases in the Kista-Järva area
  2. Build the SMART-platform
  3. Integrate data sets into the platform

The anticipated result of the project is to completely integrate siloed data using 4D location. A real-time, shared and collaborative application platform will give access to multiple stakeholders. Furthermore, SMART will optimize mobility in the existing transportation network on a massive scale

Shot from above of street crossing with cars
Roads against pink sky and headlight from cars

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