Skip to main content
Article
Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques
IEEE Internet of Things Journal
  • Mohammed Aledhari, University of North Texas
  • Mohamed Rahouti, Fordham University
  • Junaid Qadir, Qatar University
  • Basheer Qolomany, University of Nebraska at Kearney
  • Mohsen Guizani, Mohamed Bin Zayed University of Artificial Intelligence
  • Ala Al-Fuqaha, Hamad Bin Khalifa University, College of Science and Engineering
Document Type
Article
Abstract

This article outlines the architecture of autonomous driving and related complementary frameworks from the perspective of human comfort. The technical elements for measuring Autonomous Vehicle (AV) user comfort and psychoanalysis are listed here. At the same time, this article introduces the technology related to the structure of automatic driving and the reaction time of automatic driving. We also discuss the technical details related to the automatic driving comfort system, the response time of the AV driver, the comfort level of the AV, motion sickness, and related optimization technologies. The function of the sensor is affected by various factors. Since the sensor of automatic driving mainly senses the environment around a vehicle, including “the weather" which introduces the challenges and limitations of second-hand sensors in autonomous vehicles under different weather conditions. The comfort and safety of autonomous driving are also factors that affect the development of autonomous driving technologies. This article further analyzes the impact of autonomous driving on the user’s physical and psychological states and how the comfort factors of autonomous vehicles affect the automotive market. Also, part of our focus is on the benefits and shortcomings of autonomous driving. The goal is to present an exhaustive overview of the most relevant technical matters to help researchers and application developers comprehend the different comfort factors and systems of autonomous driving. Finally, we provide detailed automated driving comfort use cases to illustrate the comfort-related issues of autonomous driving. Then, we provide implications and insights for the future of autonomous driving.

DOI
10.1109/JIOT.2023.3287489
Publication Date
6-19-2023
Keywords
  • Autonomous automobiles,
  • Autonomous driving,
  • Autonomous vehicles,
  • Comfort,
  • Driving safety,
  • Internet of Things,
  • Machine learning,
  • Motion sickness,
  • Psychoanalysis,
  • Psychology,
  • Public healthcare,
  • Reaction time,
  • Response time,
  • Safety,
  • Sensors,
  • Vehicles
Comments

IR Deposit conditions:

OA version (pathway a) Accepted version

No embargo

When accepted for publication, set statement to accompany deposit (see policy)

Must link to publisher version with DOI

Publisher copyright and source must be acknowledged

Citation Information
M. Aledhari, M. Rahouti, J. Qadir, B. Qolomany, M. Guizani and A. Al-Fuqaha, "Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques," in IEEE Internet of Things Journal, June 2023. doi: 10.1109/JIOT.2023.3287489.