May 28, 2014 9:43 am

When major events, such as football matches and concerts, take place at the national arena Parken in Copenhagen, the roads usually become a traffic nightmare. Often the police must allocate large resources to manage the many cars and large groups of pedestrians, who congest the junctions before and after the event.

Trigger Framework
To optimize the traffic, a before and after study, with a Trigger Framework solution was tested. The test was conducted in connection with two major football matches and a concert in mid 2014.

Trigger-Framework

“The police officer in charge of Parken, was not aware that we were testing the solution that day, and was very surprised that it only took 20 minutes to empty the stadium,” said Preben Andersen, Sales Director of BLIP Systems.

BlipTrack Sensors
18 BlipTrack sensors were placed in the road network around the arena. The sensors collected real-time data from passing Bluetooth and Wi-Fi-enabled devices such as phones and build-in systems in cars. With the help of these sensors, a cohesive picture of the traffic situation was provided.

The data from the sensors was fed to a Trigger Framework and together with information such as event start/end times, data from ticketing systems and information from other other data sources, the solution could automatically adjust nearby traffic signals, allowing the traffic to flow more smoothly.

Trigger-Framework-SetupResults
The changes to the traffic light cycle times showed that the congestion period had plummeted to just about half the time, significantly improving the traffic flow for the pedestrians, cyclists and vehicles leaving Parken. The tests also showed that it is possible to implement intelligent traffic management, based on analysis of the current traffic situation.

Potentials
A Trigger Framework could be part of the traffic management center to assist decision makers in managing the traffic by suggesting proper actions based on current traffic. It would also make it easier to implement both new events and new data sources for future use.