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
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The different versions of the original document can be found in:
- 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 under the license http://creativecommons.org/licenses/by/3.0/
- https://doaj.org/toc/2079-9292 under the license cc-by
under the license https://creativecommons.org/licenses/by/4.0/
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Published on 01/01/2019
Volume 2019, 2019
DOI: 10.3390/electronics8090943
Licence: Other
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