<abstract xmlns="http://www.w3.org/1999/xhtml"><p> This paper deals with the possibility of creating a vehicle model using a hierarchy of neural networks. Based on this model, it is possible to build an optimization cycle that looks for parameters which are influencing the driving of vehicles along given path. The given path must include a driving through the town, out of town and along the highway section, so the test track contains the greatest number of driving modes. Data for neural network are obtained from the CAN bus and the GPS sensor. Based on the built model and given route it is looking for such route drive, where it eventually came that the development of fuel consumption is lower than in unoptimized drive.</p></abstract>

This paper deals with the possibility of creating a vehicle model using a hierarchy of neural networks. Based on this model, it is possible to build an optimization cycle that looks for parameters which are influencing the driving of vehicles along given path. The given path must include a driving through the town, out of town and along the highway section, so the test track contains the greatest number of driving modes. Data for neural network are obtained from the CAN bus and the GPS sensor. Based on the built model and given route it is looking for such route drive, where it eventually came that the development of fuel consumption is lower than in unoptimized drive.

Neural Networks - A Way to Increase the Fuel Efficiency of Vehicles

Strojnícky časopis - Journal of Mechanical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Neural Networks - A Way to Increase the Fuel Efficiency of Vehicles"}

This paper deals with the possibility of creating a vehicle model using a hierarchy of neural networks. Based on this model, it is possible to build an...

Neural Networks - A Way to Increase the Fuel Efficiency of Vehicles

Online veröffentlicht: 17. Mai 2018

Seitenbereich: 81 - 88

DOI: https://doi.org/10.2478/scjme-2018-0008

Schlüsselwörter
Eco-driving, Neural networks, CAN-bus, GeoTIFF

© 2018

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Neural Networks - A Way to Increase the Fuel Efficiency of Vehicles

Online veröffentlicht: 17. Mai 2018

Seitenbereich: 81 - 88

DOI: https://doi.org/10.2478/scjme-2018-0008

SchlüsselwörterEco-driving, Neural networks, CAN-bus, GeoTIFF

© 2018

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Eco-driving, Neural networks, CAN-bus, GeoTIFF