Introducing the O/D CO2 Matrix Using Connected Vehicle Data to Reduce Greenhouse Gas Emissions
Millions of connected vehicles generate detailed movement data. After anonymizing the data it can be used to gain insight into the movement patterns of vehicles as well as which movements generate the most greenhouse gas (GHG) emissions.
On June 5th at ITS America in Washington DC, Moonshadow CEO, Eimar Boesjes, delivered a presentation titled “Introducing the O/D CO2 Matrix Using Connected Vehicle Data from Millions of Vehicles to Reduce Greenhouse Gas Emissions” at a technical session and panel discussion.
Anonymized connected vehicle data includes the origin, destination and waypoints of trips. Timestamps give us the day and time for each point. By […]