Effects of a driver assistance system with foresighted deceleration control on the driving performance of elderly and younger drivers

Saito, Yuichi; Yoshimi, Ryoma; Kume, Shinji; Imai, Masahiro; Yamasaki, A.; Ito, Takuma; Inoue, Shintaro; Shimizu, Tsukasa; Nagai, Masao; Inoue, Hideo; Raksincharoensak, Pongsathorn

doi:10.1016/j.trf.2020.12.017

Cited by 11 publications

(7 citation statements)

References 39 publications

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“…This indicates the possibility of skill development in driving using driving assistance without reducing sense of agency. Lastly, the improvements observed in driving performance in the assisted condition were not surprising and have been replicated in many studies on driving assistance ( Young et al, 2011 ; Lyu et al, 2019 ; Saito et al, 2021 ). Importantly, our findings showed that well-tuned driving assistance is capable of making drivers attribute better driving performance to themselves.…”

Section: Discussionmentioning

confidence: 53%

“…These technologies greatly improve safety and the overall driving experience ( Teoh and Kidd, 2017 ; Muslim and Itoh, 2020 ). For example, a public-road experiment showed that foresighted deceleration control ensured safer driving near blind points ( Saito et al, 2021 ). However, as driving assistance systems become more advanced, drivers face a trade-off between sense of control and driving performance/safety.…”

Section: Introductionmentioning

confidence: 99%

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Deceleration Assistance Mitigated the Trade-off Between Sense of Agency and Driving Performance

et al. 2021

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Driving assistance technology has gained traction in recent years and is becoming more widely used in vehicles. However, drivers usually experience a reduced sense of agency when driving assistance is active even though automated assistance improves driving performance by reducing human error and ensuring quick reactions. The present study examined whether driving assistance can maintain human sense of agency during early deceleration in the face of collision risk, compared with manual deceleration. In the experimental task, participants decelerate their vehicle in a driving simulator to avoid collision with a vehicle that suddenly cut in front of them and decelerated. In the assisted condition, the system performed deceleration 100 ms after the cut-in. Participants were instructed to decelerate their vehicle and follow the vehicle that cut-in. This design ensured that the deceleration assistance applied a similar control to the vehicle as the drivers intended to, only faster and smoother. Participants rated their sense of agency and their driving performance. The results showed that drivers maintained their sense of agency and improved driving performance under driving assistance. The findings provided insights into designing driving assistance that can maintain drivers’ sense of agency while improving future driving performance. It is important to establish a mode of joint-control in which the system shares the intention of human drivers and provides improved execution of control.

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Section: Discussionmentioning

confidence: 53%

Section: Introductionmentioning

confidence: 99%

Deceleration Assistance Mitigated the Trade-off Between Sense of Agency and Driving Performance

et al. 2021

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“…The system starts braking intervention, if necessary, 5.0 s before passing through the end position. The timing of 5.0 s was determined in our previous study [9] to reproduce the deceleration of driving instructors, who were mature drivers. During the system intervention, the system ignores the driver acceleration operation.…”

Section: Behavior Of Proactive Braking Intervention Systemmentioning

confidence: 99%

“…However, because we did not know how the experimental participants would behave and interact with the proposed system, we conducted the Pre-FOT on the private test course for safety. After that, we conducted Pilot FOTs [9,17] for confirming the unique problems on public roads. The advanced points from Pre-FOTs were that evaluations were conducted on public roads.…”

Section: Preparation Of Data Collection For Evaluating Proactive Braking Intervention Systemmentioning

confidence: 99%

Comparison of Proactive Braking Intervention System Acceptability via Field Operation Tests in Different Regions

et al. 2021

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To evaluate the generalities of acceptability of a proactive braking intervention system, which anticipates an imaginary pedestrian rushing out from occluded areas, and driving environmental dependencies, we conducted field operation tests (FOTs), where 146 elderly drivers participated at three evaluation sites with different urban characteristics. Analyses regarding the coexisting traffic participants illustrate driving environmental characteristics at each evaluation site. Evaluations via TMT-J, DSQ, and WSQ compare the characteristics of experimental participants. Based on these results as premises, we analyze questionnaire answers regarding the proposed system. As a result, we confirm the generalities that more than half of the participants at each evaluation site expressed a desire to introduce the proposed system into their own vehicle.

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“…The sensor type category includes radar, image sensor, ultrasonic sensor, LiDAR sensor, infrared sensor, and laser. It has been proven [ 8 , 9 , 10 ] that the implementation of advanced driver assistance system applications, such as lane departure warning systems and adaptive cruise control, night vision, or blind spot detection systems, has led to a significant reduction in the number of car accidents. According to the policy of the New Car Assessment Program (NCAP), modern vehicles must demonstrate the achievement of specific safety ratings in order to encourage significant safety improvements in state-of-the-art car designs.…”

Section: Introductionmentioning

confidence: 99%

Optimization of AUTOSAR Communication Stack in the Context of Advanced Driver Assistance Systems

Bogdan

Crişan-Vida

Barmayoun

et al. 2021

Sensors

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New trends in the automotive industry such as autonomous driving and Car2X require a large amount of data to be exchanged between different devices. Radar sensors are key components in developing vehicles of the future, therefore these devices are used in a large spectrum of applications, where data traffic is of paramount importance. As a result, communication traffic volumes have become more complex, leading to the research of optimization approaches to be applied at the AUTOSAR level. Our paper offers such an optimization solution at the AUTOSAR communication level. The radar sensor is accessed in a remote manner, and the experiments aimed at performance measurements revealed that our solution is superior to the Full AUTOSAR implementation in terms of memory usage and runtime measurements.

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Effects of a driver assistance system with foresighted deceleration control on the driving performance of elderly and younger drivers

Cited by 11 publications

References 39 publications

Deceleration Assistance Mitigated the Trade-off Between Sense of Agency and Driving Performance

Deceleration Assistance Mitigated the Trade-off Between Sense of Agency and Driving Performance

Comparison of Proactive Braking Intervention System Acceptability via Field Operation Tests in Different Regions

Optimization of AUTOSAR Communication Stack in the Context of Advanced Driver Assistance Systems

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