The problem 

Congestion and fuel emissions are exacerbated by vehicles stopping, idling, and then moving off again at red lights. 

The high-level requirement of the GLOSA (green light optimal speed advisory) project was to take live traffic light data (including intersection traffic light sequencing schedules) to calculate, predict and advise road users of optimal speeds for approaching traffic lights. 

The GLOSA project was lead by West Midlands Combined Authority in partnership with Birmingham City Council, Amey, Integrated Design Techniques Limited (IDT) and SG Transport Innovation International. We were the development team for the mobile application.

The solution 

A bespoke Xamarin mobile application for iOS and Android. The system uses point-to-point roadside WiFi services, as well as mobile data (e.g. 3G or 4G) and Azure services to provide the data which is used in-vehicle. 

The mobile app uses text to speech, so drivers are safely advised of optimal speeds to navigate traffic in the most efficient way possible, reducing travel time and fuel consumption.  

The outcome 

Phase 1: The app was trialed on at 6km test route in Birmingham, spanning 10 junctions and showed a 10-14% reduction in stop starts over the route, with a consequent reduction of 5-7% in journey times for the test vehicles. 

Phase 2: The trial was extended with the inclusion of pedestrian crossings. This added the complexity of having to create a prediction on dynamic scheduling, compared to the fixed scheduling of intersections. 

The GLOSA project won the product of the year award at the Intelligent Transport UK awards in 2018. 

See the app in action on the BBC here.