Title
CO2NNIE: Personalized Fuel Consumption and CO2 Emissions
Abstract
We propose a system for calculating the personalized annual fuel consumption and CO2 emissions from transportation. The system, named CO2NNIE, estimates the fuel consumption on the fastest route between the frequent destinations of the user. The travel time and fuel consumption estimated are based on 3.8 billion GPS records from 16 thousand cars and 198 million records from 218 cars annotated with fuel consumption data, respectively. The fuel consumption estimates from the system are validated using fuel-pump data. We find that estimates have good accuracy, i.e., are generally within 10% of the actual fuel consumption (4.6% deviation on average). We conclude, that the system provides new detailed information on CO2 emissions and fuel consumption for any make and model.
Year
DOI
Venue
2015
10.1145/2820783.2820790
SIGSPATIAL/GIS
Keywords
DocType
Citations 
Transportation, GPS, CANBus, CO2, Fuel-consumption
Conference
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Benjamin Krogh1264.79
Ove Andersen2265.61
Edwin Lewis-Kelham31717.75
Kristian Torp426159.82