AI traffic signal control system
Viva’ Smart Junctions is a first-of-its-kind AI signal control system. We have developed an algorithm that is able to adapt quickly to changing traffic conditions and efficiently implement traffic network strategies at both local and city-wide scales.
Our sensors provide anonymous real-time data feeds on counts, classifications, speeds, and journey times of vehicles, along with information on queue build-up.
This wide range of data inputs are used to give machine learning algorithms a broad understanding of the current situation, enabling short-term optimisations based on precise, current vehicle positions, such as efficient stage closure, and longer-term optimisation on a regional level.
How Smart Junctions can help.
Congestion and queuing can be reduced by traffic signals that respond better and more quickly to changes in traffic conditions than existing systems. But this moves beyond just reducing congestion and journey times. Air quality and prioritising active travel & public transport reliability are now critical to transport policies.
Our AI Smart Junctions can also self-calibrate, maintaining performance indefinitely as the system self-improves and retrains following changes in the network.
Through AI and machine learning, we have the potential to optimize roads for
- Different modes, including cyclists, buses or pedestrians – providing weighted priority to reduce waiting times for these modes.
- Air quality – using our detailed datasets to understand emissions & set the AI to prioritise for this.
- Congestion – giving transport authorities the choice to prioritise underlying congestion.