Toward a Comfortable Driving Experience for a Self-Driving Shuttle Bus
Autor: | Il Kwon Bae, Jaeyoung Moon, Jeongseok Seo |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Computer Networks and Communications
Computer science 020209 energy lcsh:TK7800-8360 public transportation 02 engineering and technology Vehicle dynamics Transport engineering self-driving shuttle bus Control theory 0502 economics and business 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering 050210 logistics & transportation Focus (computing) business.industry autonomous vehicle software-in-the-loop (SIL) 05 social sciences lcsh:Electronics automated shuttle service Hardware and Architecture Control and Systems Engineering Public transport Signal Processing business driving comfort 5G |
Zdroj: | Electronics Volume 8 Issue 9 Electronics, Vol 8, Iss 9, p 943 (2019) |
ISSN: | 2079-9292 |
DOI: | 10.3390/electronics8090943 |
Popis: | 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. |
Databáze: | OpenAIRE |
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