Analyzing Motion Sickness Level in Autonomous Vehicles According to Look-Ahead Distance

Zengin, Namik; Sever, Mert; Kirli, Ahmet; Arslan, M. Selçuk

doi:10.1109/ceit.2018.8751802

Cited by 4 publications

(6 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Trajectory Planning and Tracking Algorithms Considering Ride Comfortmentioning

confidence: 99%

“…Recent publications focusing on finding the optimal solution of path tracking algorithms to minimise motion sickness are for example [40], [41] and [42]. Zengin et al [40] have proposed an augmented road-vehicle model with a vestibular system model to investigate the effect of look-ahead distance for path tracking algorithms. Sever et al [41] proposed to tune a gain-scheduled LQR based path following controller to reduce the motion sickness dose value defined in ISO 2631-1 also integrating the dynamics of the human vestibular system similar to Zengin et al [40].…”

Section: Trajectory Planning and Tracking Algorithms Considering Ride Comfortmentioning

confidence: 99%

“…Zengin et al [40] have proposed an augmented road-vehicle model with a vestibular system model to investigate the effect of look-ahead distance for path tracking algorithms. Sever et al [41] proposed to tune a gain-scheduled LQR based path following controller to reduce the motion sickness dose value defined in ISO 2631-1 also integrating the dynamics of the human vestibular system similar to Zengin et al [40]. A fuzzy-PID based path tracking algorithm is proposed by Saruchi et al [43] that is controlling the wheel angle to reduce the lateral acceleration and the roll angle of the head of the driver and the passengers aiming for reducing motion sickness incidence which is calculated with the help of using the 6-DOF SVC model.…”

Section: Trajectory Planning and Tracking Algorithms Considering Ride Comfortmentioning

confidence: 99%

“…Being a pilot study, 10 participants each were chosen from the public to test the two platforms. They were then grouped in age ranges of [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55] and 56-70 years to ensure a balanced and diverse range of responses. Participants were screened for inclusion criteria including driver license status and motion sickness.…”

Section: Participantsmentioning

confidence: 99%

See 3 more Smart Citations

Proceedings of the Resource Efficient Vehicles Conference - 2021 (rev2021)

Rothhämel¹

2021

View full text Add to dashboard Cite

rev2021 was the first edition of the conference on Resource Efficient Vehicles, held online on 14-16 June 2021. This vehicle-centric conference aims to bring together participants from academia, industry and public agencies to discuss research from all relevant fields connected to resource efficiency in all motorised modes of transport and interdependent surrounding systems. The theme of this multidisciplinary conference is Resolving Functional Conflicts in Vehicle Design, a theme explored through topics including modelling for multifunctional design; making trade-offs; efficient use of materials and space; integrating new solutions; transforming the product system; transforming the vehicle-transport system; sustainable design; and early-stage design. The 2021 edition of the conference consisted of 40 selected papers for presentation at the conference, complemented with four workshops, five keynote lectures from invited speakers, and a concluding panel discussion with four invited participants. It was organised by the Centre for ECO2 Vehicle Design at KTH Royal Institute of Technology in Stockholm.

show abstract

Section: Trajectory Planning and Tracking Algorithms Considering Ride Comfortmentioning

confidence: 99%

Section: Trajectory Planning and Tracking Algorithms Considering Ride Comfortmentioning

confidence: 99%

Section: Trajectory Planning and Tracking Algorithms Considering Ride Comfortmentioning

confidence: 99%

Section: Participantsmentioning

confidence: 99%

See 2 more Smart Citations

Proceedings of the Resource Efficient Vehicles Conference - 2021 (rev2021)

Rothhämel¹

2021

View full text Add to dashboard Cite

show abstract

“…The cost function employed in optimal control has an LQR type structure with parameter dependency on vehicle speed. It is structured to include the signals related to both path following and carsickness 31 simultaneously. In order to address the carsickness, the MSDV formulation in ISO 2631-1 is augmented with horizontal direction motion components to define a performance measure.…”

Section: Introductionmentioning

confidence: 99%

Carsickness-based design and development of a controller for autonomous vehicles to improve the comfort of occupants

Sever

Zengin

Kirli

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

Self Cite

View full text Add to dashboard Cite

It is anticipated that passengers in autonomous vehicles will be more occupied with in-vehicle activities. Loss of the authority on driving and engaging in non-driving tasks could cause lower predictability of car motions. This decrease in predictability is expected to increase the sensitivity to carsickness. It appears that it is crucial to develop controllers for autonomous driving with the capability of improving passenger comfort by reducing carsickness. In this regard, it can be asked how the motion variables can be used for the minimization of a carsickness-related measure, while the vehicle is required to follow a given path. In this study, an optimal control approach is being proposed to minimize a quantitative measure of carsickness. In order to address carsickness during autonomous maneuvers, the well-known motion sickness dose value formulation in ISO 2631-1 is augmented with horizontal direction motion components to define a performance measure. The performance measure includes the motion sensed in vestibular system rather than the motion occurring in the vehicle itself. Therefore, mathematical model of the vestibular system is included in the design of controller. Effects of acceleration and jerk are included in performance measure simultaneously. Control oriented linear parameter varying vehicle model is developed to design the path following controller. By means of simulation studies in which path following control is implemented, motion sickness dose values of the controlled vehicle are examined. It is shown by a regular lane change test at various speeds that the proposed controller, which seeks the minimization of the motion sickness dose value, achieves a reduction of the acceleration and jerk felt by a passenger, while the vehicle follows the given path.

show abstract

Design and Comparison of Optimal Controllers Using Look-Ahead Error in Path Following Problem

Zengin

Arslan

2022

2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)

View full text Add to dashboard Cite

Analyzing Motion Sickness Level in Autonomous Vehicles According to Look-Ahead Distance

Cited by 4 publications

References 18 publications

Proceedings of the Resource Efficient Vehicles Conference - 2021 (rev2021)

Proceedings of the Resource Efficient Vehicles Conference - 2021 (rev2021)

Carsickness-based design and development of a controller for autonomous vehicles to improve the comfort of occupants

Design and Comparison of Optimal Controllers Using Look-Ahead Error in Path Following Problem

Contact Info

Product

Resources

About