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| Content Provider | ACM Digital Library |
|---|---|
| Author | Wickramanayake, Sandareka Bandara, H.M.N. Dilum |
| Abstract | Improving fuel efficiency of vehicles is vital to save money as well as to protect the environment. While efficient engine and vehicle design can achieve substantial fuel savings, further fuel savings as high as 20% can be gained by adopting efficient driving behavior. While drivers can be trained on general guidelines, individual feedback is more effective. We propose a methodology to enhance fuel economy of fleet vehicles via real-time driver behavior monitoring and feedback. We propose to collect data and provide feedback through mobile devices to enhance its usability, flexibility, and reduce costs. The feedback will be based on an individual driver profile and other real-time data such as route information, weather and traffic data. |
| Starting Page | 87 |
| Ending Page | 87 |
| Page Count | 1 |
| File Format | |
| ISBN | 9781450344166 |
| DOI | 10.1145/2938559.2948863 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-06-25 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Fleet management Predictive models Data analytics Driver behavior analysis |
| Content Type | Text |
| Resource Type | Article |
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