Project Summary

To improve traffic management, bring better air quality, and improve emergency service access and safety through real-time analytics of traffic flow to change signal timings.

Project Achievements

Route Konnect made use of the T-TRIG grant to further develop the algorithms for a combined LiDAR and camera solution. By doing this, detecting parameters such as vehicle type and vehicle speeds benefited from the fusion of the two technologies together for increased accuracy.

Conclusions

Route Konnect tested the algorithms within simulation, creating benchmark data that was then verified by real-world test data from TfL traffic cameras. The results of the showed 97% accuracy for vehicle category detection, with speed detection within 5 mph of actual vehicle speed. The LiDAR algorithms for the same dataset produced a vehicle category detection accuracy of 90% with speed detection within 1.4mph of actual vehicle speed. Combining the best of these two results in added accuracy.

As a result of these solutions, the algorithms are being used across a number of use cases with existing CCTV infrastructure to anonymously detect vehicle and pedestrian flow. Route Konnect is also taking this technology further through Innovate UK collaborations with city councils in the pipeline.