Congestion has increased rapidly in recent years at a heavy cost to the UK economy. It has led to a significant reduction in productivity levels and stalled economic growth. Moreover, congestion also poses a health hazard due to its significantly high contribution of carbon emissions. Unfortunately, most of the solutions in the market gather a very limited range of data points and are unable to provide effective, robust and dynamic traffic management solutions. Therefore, there is a great need for more advanced and optimized traffic management systems.
We have developed a low-cost acoustic sensor that detects vehicle movement using tyre noise within city and motorway environments by utilising our deep learning algorithms, highly detailed data is captured to:
This sensor will further tune the existing algorithms in a greater number of locations and test whether or not it is possible to predict traffic levels, vehicle emission and noise levels.