Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques

Authors

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 IntelligenceFollow
Ala Al-Fuqaha, Hamad Bin Khalifa University, College of Science and Engineering

Document Type

Article

Publication Title

IEEE Internet of Things Journal

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

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Recommended Citation

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.