A co-benefit and tradeoff evaluation framework for connected and automated vehicle applications

Tian, Danyang; Wu, Guoyuan; Boriboonsomsin, Kanok; Barth, Matthew

doi:10.1109/ivs.2017.7995838

Cited by 4 publications

(7 citation statements)

References 22 publications

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“…Autonomous vehicle is a part of continuing evolution in automotive technology which received considerable attention among researchers because it brings potential benefits to the transportation system in terms of safety, mobility and environment [1]. Despite drawing a lot of attention, there is a challenge that leads to a significantly negative impact to the passenger's comfort during the automated driving which is called motion sickness (MS).…”

Section: Introductionmentioning

confidence: 99%

Lateral control strategy based on head movement responses for motion sickness mitigation in autonomous vehicle

Saruchi¹,

Ariff²,

Zamzuri³

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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Passengers are more susceptible to motion sickness (MS) than the drivers because during cornering, they tilt their heads according to lateral acceleration direction, while the drivers tilt their heads against it. During slalom driving, high lateral acceleration that resulted from inappropriate wheel's turning will increase the severity level of MS as it contributes to a larger passenger's head roll angle towards the lateral acceleration direction. Thus, for an autonomous vehicle, it is necessary to design a smooth lateral control to obtain appropriate wheel angle to prevent high lateral acceleration. This study proposes an inner-loop lateral control strategy which utilized head roll angle as the controlled variable to generate corrective wheel angle to reduce the lateral acceleration. Firstly, an estimation model of driver's and passenger's head roll angle is developed by radial basis function network method based on the correlation between lateral acceleration and occupant's head roll angle. The driver's and passenger's models are considered as the reference and the controlled subject, respectively. Secondly, a fuzzy logic controller is adopted to generate corrective wheel angle based on the head roll angle responses. The reduction of the lateral acceleration caused by the corrective wheel angle minimized the passenger's head roll angle and hence mitigated their MS level. Simulation results show 3.25% and 10.86% reduction of motion sickness incidence in a single lap and ten laps after the proposed control strategy is applied. It is expected that the proposed control strategy will contribute to the MS mitigation study in autonomous vehicle field.

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Section: Introductionmentioning

confidence: 99%

Lateral control strategy based on head movement responses for motion sickness mitigation in autonomous vehicle

Saruchi¹,

Ariff²,

Zamzuri³

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

View full text Add to dashboard Cite

show abstract

“…Although it gives more realistic results than simulation-based methods, it also has drawback related to the difficulty of data collection. Especially for novel technologies that are in the test phase, simulation data is used to predict their potential impacts [4], [12].…”

Section: Time Integrated Ttc (Tit)mentioning

confidence: 99%

“…Through real-time guidance and rerouting functions, assisting technologies can provide real-time information about disruptive situations like traffic incidents, lane closures or construction zones to drivers and increase their decisionmaking abilities to reduce their time spent in the traffic [5], [13], [14]. The other perspective is, on the other hand, is to measure the mobility improvement by the increase in the average speed of the traffic [4], [15].…”

Section: Mobility Benefitsmentioning

confidence: 99%

“…While CAVprovided additional network information assists the drivers in their travel, the related change in driver behaviour results in fewer accelerations and decelerations, which are substantially important for emissions. These variations in the usage of the vehicles also impact fuel consumption, which also utilised as an indicator of the environmental benefits [4], [16], [17].…”

Section: Environmental Benefitsmentioning

confidence: 99%

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A case-based cost-benefit consideration for upgrading to an intelligent traffic environment

Agca¹,

Godsell²

2022

IET Conf. Proc.

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“…Hence, leading to reduced traffic collisions resulting from the minimization or elimination of human error (Chan, 2017). Furthermore, integrating advanced sensing, algorithm, and collision avoidance technologies into an autonomous vehicle could improve safety (Seppelt & Victor, 2016;Tian et al, 2017).…”

Section: Benefits and Challenges Of An Autonomous Vehiclementioning

confidence: 99%

Motion Sickness Mitigation in Autonomous Vehicle: A Mini-Review

Saruchi¹,

Ariff

Zamzuri³

et al. 2021

JSAEM

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An autonomous vehicle is a rapidly evolving technology that received attention from researchers due to its potential benefits. Besides the advantages, there are also non-negligible issues that need to be overcome in the middle of the autonomous vehicle development process. Among all the challenges, one of the important topics that have not gained adequate consideration is motion sickness (MS). This paper reviews the benefit and challenges of autonomous vehicles, MS factors, the quantifying methods of MS, and the mitigation strategies of MS. Considering the importance of minimizing MS, it is concluded that the number of strategies to lessen MS's severity is still lacking; hence, requiring more attention from automotive researchers.

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A co-benefit and tradeoff evaluation framework for connected and automated vehicle applications

Cited by 4 publications

References 22 publications

Lateral control strategy based on head movement responses for motion sickness mitigation in autonomous vehicle

Lateral control strategy based on head movement responses for motion sickness mitigation in autonomous vehicle

A case-based cost-benefit consideration for upgrading to an intelligent traffic environment

Motion Sickness Mitigation in Autonomous Vehicle: A Mini-Review

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