XanLabs Pollution Monitors provide up to 5 years of accurate data using AI-based auto-calibration. Without the need to calibrate every six months reduces council effort. Sensors for NO2, CO, Particles and Ozone available.
XanLabs 4th generation devices, provide up to ten times the detection rates of other devices. They supply Journey Time information as well as vehicle paths through the city.
Fully compliant with GDPR.
A Beacon function allows communications with Vehicles
6th Generation AI provides multiple functions including pollution forecasting, Vehicle Classification and Vehicle Counting in real-time.
This general-purpose AI is available in an on-street or control room environment.
A green wave is a method to provide vehicles with a continuous set of green lights to prevent vehicle pollution or to provide rapid transit for Buses.
It uses an AI, Mobile app, Bluetooth and CCTV input.
Phone App & Tolls
A mobile application allows drivers to provide information on their journey AI’s then inform them of Journey time, optimum start times, speed recommendations for a green wave and parking. Using the APP and ANPR, tolls can be enabled at peak pollution times.
Driver Start Time
By predicting Journey times, the driver can pick the correct time to drive by changing the driver’s knowledge; you can change their time of driving and minimise pollution.
Diverting traffic to alternate routes when there is pollution can reduce the amount of traffic flowing down the critical path.
Park and Ride
By giving a comparison of Journey times to the city for cars and buses on routes where a Park and Ride option exists, more drivers can be persuaded to use these services.
Variable Speed Limits
An AI can use the Journey times, and Pollution values to set the speed limit using variable signs allowing the minimisation of pollution at peak times.