CO2 NNIE: Personalized Fuel Consumption and CO2 Emissions

被引：0

作者：

Krogh, Benjamin ^{[1
]}

Andersen, Ove ^{[1
]}

Lewis-Kelham, Edwin ^{[1
]}

Torp, Kristian ^{[1
]}

机构：

[1] Aalborg Univ, Dept Comp Sci, Aalborg 9100, Denmark

来源：

23RD ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2015) | 2015年

关键词：

Transportation; GPS; CANBus; CO2; Fuel-consumption;

D O I：

10.1145/2820783.2820790

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose a system for calculating the personalized annual fuel consumption and CO2 emissions from transportation. The system, named CO2 NNIE, 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 from218 cars annotated with fuel consumption data, respectively. The fuel consumption estimates from the system are validated using fuel-pump data. We fi nd 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.

引用

页数：4

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