EarthSense app identifies clean air routes

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
October 15, 2018 Read time: 1 min

UK-based air quality specialist 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.

For more information on companies in this article

Related Content

  • OpenSpace visualises how social distancing will work
    May 26, 2020
    OpenSpace CEO Nicolas Le Glatin tells Adam Hill how Xovis camera tech might help unlock more convenient ways for moving through mobility hubs during Covid-19
    Read More
  • Detection analysis technology successfully predicts traffic flows
    February 3, 2012
    David Crawford investigates new detection analysis technology from IBM. Locations on both the East and West Coasts of the US are scheduled for early deployments of IBM's new Traffic Prediction Tool (TPT) statistical analysis model for the fine-time resolution and near-term prediction of road flow conditions. Developed by IBM's Watson Research Laboratories, TPT is designed to analyse data from the the key detection indicators - average vehicle volumes and speeds passing a location in a given time interval -
    Read More
  • Managing Europe’s TRIP
    January 16, 2015
    Ricardo-AEA has been awarded a major three-year contract to run the European Commission’s Transport Research and Innovation Portal (TRIP) – a public, online platform that shares up-to-date information on transport research projects and activities across Europe. Over the next three years, Ricardo-AEA, together with its partners TRT Trasporti e Territorio, the Czech Transport Research Centre (CDV), Fraunhofer ISI, the University of the Aegean and TEPR, will update and verify TRIP’s existing content, adding
    Read More
  • Syracuse models post-industrial revival for US cities
    August 13, 2015
    A connective corridor in Syracuse, New York State, could be a model for other post-industrial cities, as David Crawford discovers. The aim of the city of Syracuse’ 5.6km-long Connective Corridor in Onandaga County in upstate New York is to create a model ‘complete street’ for use in wider regeneration schemes. Key transport-sector components are traffic calming, high-quality transit with accessible passenger information, plus walkability and bike-friendliness.
    Read More

Highlighted Content