Skip to main content

EarthSense app to identify clean air routes for UK cyclists

UK-based air quality specialists EarthSense is developing an app which will identify and map clean air routes for people cycling or exercising. The company says the application could also help wider clean air strategies when combined with population movement data. According to EarthSense, collating this data would allow key decision makers to identify popular exercise routes and target resources to improve air quality at these locations. The app is being funded by the European Space Agency's grant p
August 14, 2018 Read time: 2 mins
UK-based air quality specialists 8834 EarthSense is developing an app which will identify and map clean air routes for people cycling or exercising. The company says the application could also help wider clean air strategies when combined with population movement data.


According to EarthSense, collating this data would allow key decision makers to identify popular exercise routes and target resources to improve air quality at these locations.

The app is being funded by the European Space Agency's grant programme Project CARAMEL (Clean Air Routing and Mobile Exposure Limitation).

The CARAMEL app uses space-based data, traffic simulation data, open data and public transport data with big data analytics. The solution will feature an air quality data model and routing system, an online mapping portal as well as reports on weekly pollution levels.

EarthSense is working with Leeds City Council and 16 Aimsun to assess the app and online system's feasibility and commercial opportunities.

For more information on companies in this article

Related Content

  • Cubic: predictive analytics is putting fortune tellers out of business
    November 23, 2018
    The rise of machine learning and artificial intelligence means that fortune tellers will soon be out of business. Ed Chavis takes a behind the scenes look at the world of predictive analytics ver since organisations started taking advantage of insights derived from Big Data, data scientists concentrated their efforts on the ability to make correct assumptions about the future. A few years later, with the help of automation, developments in machine learning (ML) and advancements in the application of a
  • SCATS study shows significant savings
    December 16, 2013
    Australian study quantifies the benefits of SCATS to the motorists, the environment and the economy. Opportunity weekday cost savings potential of some AUD16 million (US$15.2 million) has emerged from rigorous analysis of a one-day study of Australia’s Sydney Coordinated Adaptive Traffic System (SCATS) in operation. This represents 27% of the total cost of a real alternative semi-adaptive traffic control. The estimated indicative annual weekday-based value is AUD3,900 million (US$3,705 million) or 0.9% of t
  • Bristol to test new green bus technology
    January 9, 2015
    The city of Bristol in the UK is to pilot the latest green technology for buses thanks to a US$1.5 million grant from the Government to coincide with the city’s year as European Green Capital. Baroness Kramer, minister of State for Transport, announced today that Bristol will receive funding to purchase a number of new hybrid buses which can switch from diesel to electric automatically in low emission zones. The grant from the green bus fund will be used to purchase a number of hybrid buses with geo-f
  • What will MaaS look like in 2031?
    October 25, 2021
    The next decade will see the humble trip planning app transformed by machine learning and AI, revolutionising the way we move around and interact with each other, says John Nuutinen of SkedGo