Scipediacontent: Scipediacontent moved page Draft Content 475161269 to Yang et al 2018e

2021-02-03T19:50:16Z

Scipediacontent moved page Draft Content 475161269 to Yang et al 2018e

Scipediacontent: Created page with " == Abstract == By using the onboard sensing and external connectivity technology, connected and automated vehicles (CAV) could lead to improved energy efficiency, better rou..."

2021-02-03T19:50:12Z

Created page with " == Abstract == By using the onboard sensing and external connectivity technology, connected and automated vehicles (CAV) could lead to improved energy efficiency, better rou..."

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== Abstract ==

By using the onboard sensing and external connectivity technology, connected and automated vehicles (CAV) could lead to improved energy efficiency, better routing, and lower traffic congestion. With the rapid development of the technology and adaptation of CAV, it is more critical to develop the universal evaluation method and the testing standard which could evaluate the impacts on energy consumption and environmental pollution of CAV fairly, especially under the various traffic conditions. In this paper, we proposed a new method and framework to evaluate the energy efficiency and emission of the vehicle based on the unsupervised learning methods. Both the real-world driving data of the evaluated vehicle and the large naturalistic driving dataset are used to perform the driving primitive analysis and coupling. Then the linear weighted estimation method could be used to calculate the testing result of the evaluated vehicle. The results show that this method can successfully identify the typical driving primitives. The couples of the driving primitives from the evaluated vehicle and the typical driving primitives from the large real-world driving dataset coincide with each other very well. This new method could enhance the standard development of the energy efficiency and emission testing of CAV and other off-cycle credits.

== Original document ==

The different versions of the original document can be found in:

* [http://arxiv.org/abs/1805.07643 http://arxiv.org/abs/1805.07643]

* [http://arxiv.org/pdf/1805.07643 http://arxiv.org/pdf/1805.07643]

* [http://xplorestaging.ieee.org/ielx7/8543039/8569013/08569806.pdf?arnumber=8569806 http://xplorestaging.ieee.org/ielx7/8543039/8569013/08569806.pdf?arnumber=8569806],
: [http://dx.doi.org/10.1109/itsc.2018.8569806 http://dx.doi.org/10.1109/itsc.2018.8569806]

* [https://dblp.uni-trier.de/db/conf/itsc/itsc2018.html#ChangYZ18 https://dblp.uni-trier.de/db/conf/itsc/itsc2018.html#ChangYZ18],
: [https://academic.microsoft.com/#/detail/2963829554 https://academic.microsoft.com/#/detail/2963829554]

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Scipediacontent: Scipediacontent moved page Draft Content 475161269 to Yang et al 2018e

Scipediacontent: Created page with " == Abstract == By using the onboard sensing and external connectivity technology, connected and automated vehicles (CAV) could lead to improved energy efficiency, better rou..."