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| Content Provider | ACM Digital Library |
|---|---|
| Author | Krogh, Benjamin Andersen, Ove Lewis-Kelham, Edwin Torp, Kristian |
| Abstract | We propose a system for calculating the personalized annual fuel consumption and $CO_{2}$ emissions from transportation. The system, named $CO_{2}NNIE,$ 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 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 $CO_{2}$ emissions and fuel consumption for any make and model. |
| Starting Page | 1 |
| Ending Page | 4 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450339674 |
| DOI | 10.1145/2820783.2820790 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-11-03 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Transportation Co2 Fuel-consumption Gps Canbus |
| Content Type | Text |
| Resource Type | Article |
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