The enviroCar platform offers a broad range of data about traffic that can be used by different stakeholder groups. Fuel consumption is of special interest, e.g. when trying to understand the environmental impact of traffic or when trying to minimize fuel consumption by individual drivers. In enviroCar, there are currently two models to calculate fuel consumption: 1) using motor data from the on-board diagnostics (OBD) and 2) using GPS data from mobile phones running the enviroCar app.
This post will also be EGU Session ERE1.1 Display D924 at EGU2020: Sharing Geoscience Online. We will participate in the chat on Tuesday, May 5th from 8:30 to 10:15 to discuss our approach and findings. You can join the discussion on our parallel medium.com story.
Estimating fuel consumption of cars based on movement data and its sensitivity to car and movement specific properties
The transportation sector is responsible for approximately 20 percent of global CO2 emissions, most of which are produced by road traffic. Moreover, emissions are rising and are rising faster than in other sectors. Reducing these emissions is crucial to reaching the goals of the 2016 Paris agreement. Efficient reduction strategies and their monitoring rely on broad and exact data about passenger car fuel consumption and emissions.