Human-Machine Shared Driving: Challenges and Future Directions

Ansari, Shahzeb Hasan; Naghdy, Fazel; Du, Haiping

doi:10.1109/tiv.2022.3154426

Cited by 53 publications

(15 citation statements)

References 157 publications

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“…To gauge the publications, major scientific databases (Scopus, Science Direct and Google Scholar) with the keywords [“Covid19” or “Covid-19” and “driver behaviour” or “driving behaviour”, “Covid-19 + road safety” or “Covid-19 + transport”, “Covid-19 + Driver stress”, and “Covid-19 + Driver health] from January 2020 to July 2022 were searched. A systematic Prisma search strategy was followed as described in ( Ansari et al, 2022b ) and presented in Fig. 1 .…”

Section: Review Methodologymentioning

confidence: 99%

“…4 , an ego-vehicle driver (assumed positive Covid-19 patient) may overlook the approaching vehicle holding the right to pass the roundabout and ending in crash. Such driving mistakes caused by poor situation awareness are no different from inactive, fatigued, and drunk driving ( Ansari et al, 2021b , 2022b ; Watson-Brown et al, 2021 ). Therefore, innovative solutions need to be devised, and extensive exploration is required to accurately estimate the driver situational awareness caused by Covid-19 disease.…”

Section: Post-covid-19 Driving Behaviour Factorsmentioning

confidence: 97%

“…6 . Intelligent estimators based on multi-layer perceptron are currently deployed to predict the trajectories of external road-agents as reported in ( Ansari et al, 2022b ). However, for a pandemic-sustained intelligent system, it is important to devise an algorithmic-policy that should gather the information of positive Covid-19 driver actions, monitor symptoms visually and physiologically, predict the visual motion of hazards surrounding the vehicle, track the vehicle dynamics, and then deploy necessary shared control execution to assist the driver in challenging driving tasks.…”

Section: Challenges and Future Directionsmentioning

confidence: 99%

See 2 more Smart Citations

Impact of Post-Covid-19 on driver behaviour: A perspective towards pandemic-sustained transportation

Ansari

Naghdy

et al. 2023

Journal of Transport & Health

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Section: Review Methodologymentioning

confidence: 99%

Section: Post-covid-19 Driving Behaviour Factorsmentioning

confidence: 97%

Section: Challenges and Future Directionsmentioning

confidence: 99%

See 1 more Smart Citation

Impact of Post-Covid-19 on driver behaviour: A perspective towards pandemic-sustained transportation

Ansari

Naghdy

et al. 2023

Journal of Transport & Health

Self Cite

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“…These systems will retain a human driver in the control loop. A shared-control system enables a human driver and an automation system to share control authority and cooperatively operate a vehicle [261][262][263]. However, one critical issue is identifying how to appropriately transfer and allocate the control authority [263][264][265][266][267][268][269].…”

Section: A Ddt In Advanced Driver Assistance Systemmentioning

confidence: 99%

Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles

Lou

Xing

et al. 2022

IEEE Trans. Intell. Veh.

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Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving and transportation systems to digitize and synergize connected automated vehicles. However, existing studies focus on the design of the automated vehicle, whereas the digitization of the human driver, who plays an important role in driving, is largely ignored. Furthermore, previous driver-related tasks are limited to specific scenarios and have limited applicability. Thus, a novel concept of a driver digital twin (DDT) is proposed in this study to bridge the gap between existing automated driving systems and fully digitized ones and aid in the development of a complete driving human cyber-physical system (H-CPS). This concept is essential for constructing a harmonious human-centric intelligent driving system that considers the proactivity and sensitivity of the human driver. The primary characteristics of the DDT include multimodal state fusion, personalized modeling, and time variance. Compared with the original DT, the proposed DDT emphasizes on internal personality and capability with respect to the external physiological-level state. This study systematically illustrates the DDT and outlines its key enabling aspects. The related technologies are comprehensively reviewed and discussed with a view to improving them by leveraging the DDT. In addition, the potential applications and unsettled challenges are considered. This study aims to provide fundamental theoretical support to researchers in determining the future scope of the DDT system.

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“…While most of the existing research literature on emergency driving has focused on driving operations in dangerous situations, there has been little analysis on eye movement and control of driving in complex emergencies. In [9], Fajen et al studied the visual control of braking between different cohorts, i.e., gender, age, and other human factors [10]. Adams et al [11] studied the braking operation of drivers in emergencies.…”

Section: Related Workmentioning

confidence: 99%

Driving Performance Under Violations of Traffic Rules: Novice vs. Experienced Drivers

Guo

Sun

2022

IEEE Trans. Intell. Veh.

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It is of great significance for safe driving to study drivers' eye movement and driving operation behavior when they encounter other road users violating traffic rules. The underlying reason is that most drivers are unable to process the unexpected visual stimulation, which is more likely to lead to driving accidents, especially in a hybrid situation. In this study, a driving simulator is used to design driving scenarios and study the driving performance of drivers with different driving experiences when other road users violate traffic rules. The experimental results show that some novice drivers ignore the position of their own vehicle when they encounter traffic violations which will lead to the collision with other road users. Moreover, some novice drivers can only perform one of the operations between steering and braking to avoid collision in these emergent situations. They cannot reasonably combine braking and steering to complete emergency driving operations like experienced drivers. Finally, when the driving difficulty increases, experienced drivers spend less time looking and more time scanning their surroundings to ensure that they can cope with the more complex driving environment while novice drivers do the opposite. This study reveals the difference between novices and experienced drivers, which paves a useful reference for the future advanced driving assistance system.

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Human-Machine Shared Driving: Challenges and Future Directions

Cited by 53 publications

References 157 publications

Impact of Post-Covid-19 on driver behaviour: A perspective towards pandemic-sustained transportation

Impact of Post-Covid-19 on driver behaviour: A perspective towards pandemic-sustained transportation

Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles

Driving Performance Under Violations of Traffic Rules: Novice vs. Experienced Drivers

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