Scipediacontent: Scipediacontent moved page Draft Content 922827069 to Seo et al 2019a

2021-02-15T09:31:21Z

Scipediacontent moved page Draft Content 922827069 to Seo et al 2019a

Scipediacontent: Created page with " == Abstract == The convergence of mechanical, electrical, and advanced ICT technologies, driven by artificial intelligence and 5G vehicle-to-everything (5G-V2X) connectivity..."

2021-02-15T09:31:18Z

Created page with " == Abstract == The convergence of mechanical, electrical, and advanced ICT technologies, driven by artificial intelligence and 5G vehicle-to-everything (5G-V2X) connectivity..."

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== Abstract ==

The convergence of mechanical, electrical, and advanced ICT technologies, driven by artificial intelligence and 5G vehicle-to-everything (5G-V2X) connectivity, will help to develop high-performance autonomous driving vehicles and services that are usable and convenient for self-driving passengers. Despite widespread research on self-driving, user acceptance remains an essential part of successful market penetration

this forms the motivation behind studies on human factors associated with autonomous shuttle services. We address this by providing a comfortable driving experience while not compromising safety. We focus on the accelerations and jerks of vehicles to reduce the risk of motion sickness and to improve the driving experience for passengers. Furthermore, this study proposes a time-optimal velocity planning method for guaranteeing comfort criteria when an explicit reference path is given. The overall controller and planning method were verified using real-time, software-in-the-loop (SIL) environments for a real-time vehicle dynamics simulation

the performance was then compared with a typical planning approach. The proposed optimized planning shows a relatively better performance and enables a comfortable passenger experience in a self-driving shuttle bus according to the recommended criteria.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_922827069-beopen746-1711-document.pdf</pdf>

== Original document ==

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

* [http://dx.doi.org/10.3390/electronics8090943 http://dx.doi.org/10.3390/electronics8090943] under the license https://creativecommons.org/licenses/by

* [https://www.mdpi.com/2079-9292/8/9/943/pdf https://www.mdpi.com/2079-9292/8/9/943/pdf] under the license http://creativecommons.org/licenses/by/3.0/

* [https://www.mdpi.com/2079-9292/8/9/943 https://www.mdpi.com/2079-9292/8/9/943],
: [https://doaj.org/toc/2079-9292 https://doaj.org/toc/2079-9292] under the license cc-by

* [https://www.mdpi.com/2079-9292/8/9/943/htm https://www.mdpi.com/2079-9292/8/9/943/htm],
: [https://www.mdpi.com/2079-9292/8/9/943/pdf https://www.mdpi.com/2079-9292/8/9/943/pdf],
: [https://academic.microsoft.com/#/detail/2970287756 https://academic.microsoft.com/#/detail/2970287756]

* [https://www.mdpi.com/2079-9292/8/9/943/pdf https://www.mdpi.com/2079-9292/8/9/943/pdf],
: [http://dx.doi.org/10.3390/electronics8090943 http://dx.doi.org/10.3390/electronics8090943]

under the license https://creativecommons.org/licenses/by/4.0/

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Seo et al 2019a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 922827069 to Seo et al 2019a

Scipediacontent: Created page with " == Abstract == The convergence of mechanical, electrical, and advanced ICT technologies, driven by artificial intelligence and 5G vehicle-to-everything (5G-V2X) connectivity..."