Data driven policy development

Purpose and goal

In and around the traffic system, large amounts of data are generated, from a variety of sources. Many of these are not used today. There is a potential for using this ecosystem for planning, maintenance, traffic management, monitoring and strategy. This project develops new methods for collecting and analyzing data, exploring policy options, and involving stakeholders in policy work. The project is based on areas where new technologies promote development in line with the traffic policy goals for Sweden, and where current policy needs to be developed to realize the new technology.

Expected results and effects

The aim of the project was to take the first step to describe how traffic authorities can experiment with data-driven policy development. The project results in templates for data driven approach in traffic policy management. It also delivers increased innovation competence, strengthen innovation network in data driven policy management ecosystem and certain level of recognition and awareness from traffic authorities. A key result is draft models for data driven approach that can proactively support today traffic management policy work.

Planned approach and implementation

This project is typical collaborative research and development. The works were carried out in an iterative approach involving business area brainstorming workshops, interviews, data analysis, and prototype developments. Different stake holders from research institute, traffic authorities, and software company were involved in different phases of the project, forming a strong and flexible team behind. The continuous supports and high enthusiasm from all stakeholders to keep the project towards its main goals while conducting different attempts are the key success factors.