Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods,
  and Techniques
Mohammed Aledhari Mohamed Rahouti Junaid Qadir Basheer Qolomany Mohsen Guizani Ala Al-Fuqaha
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.