Supporting local and highway authorities to monitor in real time actual NO2 and other pollutant levels. This service will enable the customer to visualise their data from their local office or through any web link to view current data, historical data and predictive information. Data collected by RCEMM will facilitate testing and design of tailored policies and requirements that are specific to that customers region or area being monitored.Read more
A mobile device app will visualise in realtime NO2 & CO2 emissions along the public highways. Providing drivers, commuters, cyclists and pedestrians with accurate emissions levels and air quality data along their planned journey. The RTP will consist of a free to use version with limited capabilities with in-app purchases available to enhance the service to a premium version.Read more
A data API that provides actual and predicted emissions data to existing navigation planner providers (e.g. Google, Apple Maps) so that they can include it on their solutions.Read more
RCEMM is a customisable web-based application developed for real-time city and highway monitoring of harmful emissions and contributing factors (weather and traffic).
RCEMM is centralised around an advanced geographical information service (GIS) based trend analysis for identifying the least/most affected regions within an air quality management region or road.
These trends can be analysed against historical data as well as time restricted summaries based on the users intended outcomes (eg. Every 15 minutes, hourly, monthly, quarterly or annually). The system also uses artificial intelligence algorithms to predict future pollution levels for NO2, CO2, PM2.5 and PM10 with 85% accuracy.
The user-centred design of RCEMM makes the system extendable to analyse trends within other pollutions of interest in addition to those captured by the REVIS sensing system.
An eco-friendly journey planner designed to provide cyclists, motorists, and pedestrians emission data to enable them to make informed choices based on their current air quality.
Route suggestions are based on an optimisation algorithm linked with real-time data from REVIS and external public resources such as UK Air department and UK Met Office.
Each route is split into segments and a forecasted pollution level is assigned before being averaged out and checked against the UK Daily AQI. Artificial Intelligence models and optimisation algorithms are combined to compute the best 3 routes with a Red, Amber and Green scoring system, based on the distance, travel time, emission levels and weather conditions.
Users can switch between traffic or emission-based suggestions with the click of a button. The cross-platform compatibility of the mobile app means that the mobile application is available for both android and iOS phone owners.
EVaaS can expand the opportunity for the customer by providing the full service or parts of the service to focus the outcomes around delivering the data for air quality specifically. If there are existing deployed hardwares we can integrate with these to compliment your existing data with additional hardware requirements as well as any other aspect of the REVIS suite of products.
EVaaS can also be used to link into existing products and applications that may utilise AQM data, enhancing the service to existing users but also enabling a wider accessibility of the AQM data to the British public.