Fuel Prediction and Reduction in Public Transportation by Sensor Monitoring and Bayesian Networks
We exploit the use of a controller area network (CAN-bus) to monitor sensors on the buses of local public transportation in a big European city. The aim is to advise fleet managers and policymakers on how to reduce fuel consumption so that air pollution is controlled and public services are improved...
Main Authors: | Federico Delussu, Faisal Imran, Christian Mattia, Rosa Meo |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/14/4733 |
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