Article
Computer Science, Artificial Intelligence
Gurkirt Singh, Stephen Akrigg, Manuele Di Maio, Valentina Fontana, Reza Javanmard Alitappeh, Salman Khan, Suman Saha, Kossar Jeddisaravi, Farzad Yousefi, Jacob Culley, Tom Nicholson, Jordan Omokeowa, Stanislao Grazioso, Andrew Bradley, Giuseppe Di Gironimo, Fabio Cuzzolin
Summary: This article introduces a dataset called ROAD for testing the detection ability of autonomous vehicles in road events. The dataset includes videos from the Oxford RobotCar Dataset, annotated with bounding boxes showing the location of each road event in the image plane. The article also proposes a new incremental algorithm, 3D-RetinaNet, for online road event awareness and reports the performance of various detectors on the ROAD tasks.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Energy & Fuels
Jingeun Song, Junepyo Cha
Summary: The study proposes new driving dynamic variables to improve the accuracy of emission assessment by using engine acceleration and driving dynamics during braking, which are directly related to engine load and provide a more precise evaluation of emissions.
Review
Neurosciences
Louise Bassingthwaighte, Louise Gustafsson, Matthew Molineux
Summary: This article aims to describe the current evidence regarding the use of on-road driving remediation to facilitate return to independent driving following acquired brain injury and define gaps in research. The study found emerging evidence to support the use of on-road driving remediation as a rehabilitation tool, but further research is needed to determine which goals are suitable as driving rehabilitation interventions.
Article
Environmental Sciences
Xianjian Jin, Hang Yang, Xiongkui He, Guohua Liu, Zeyuan Yan, Qikang Wang
Summary: This paper proposes a novel LiDAR-based robust vehicle detection method, including point cloud clustering, bounding box fitting, and point cloud recognition. The method improves clustering quality, adaptability of bounding box fitting, and stability of fitting results. It also utilizes deep learning technique to achieve vehicle recognition. Experimental results demonstrate stable vehicle target recognition with a good balance between time consumption and accuracy.
Article
Green & Sustainable Science & Technology
Runhua Guo, Siquan Liu, Yulin He, Li Xu
Summary: This study investigated the influence of AVs on the rutting distress of asphalt pavement by simulating changes in traffic volume and wheel track distribution. The results showed that increased AV traffic accelerated the occurrence of rutting distress, but a uniform distribution of vehicles at both ends of the transverse direction could prolong the maintenance life of the pavement. The study also found that speed, road roughness, and comfort had high accuracy in predicting the relationship models for AVs, and the arithmetic mean's height had the greatest influence on tire-road friction coefficient.
Article
Ergonomics
Daniel A. Schlueter, Kim L. Austerschmidt, Philipp Schulz, Thomas Beblo, Martin Driessen, Stefan Kreisel, Max Toepper
Summary: In this on-road study, it was found that about 25% of older drivers overestimated their driving skills. Overestimators showed poorer on-road driving performances, a higher likelihood of prospective near and minor at-fault accidents, poorer cognitive performances in specific driving-related domains, and reduced annual mileage.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Clinical Neurology
Nadinda A. M. van der Ende, Bob Roozenbeek, Joseph P. Broderick, Pooja Khatri, Hester F. Lingsma, Diederik W. J. Dippel
Summary: In a stroke trial with PROBE design, the blinding of outcome assessors may be compromised and their guesses may be associated with the outcomes.
INTERNATIONAL JOURNAL OF STROKE
(2023)
Article
Construction & Building Technology
Guanghua Chen, Jinxi Zhang, Pengfei Liu, Liduan Liang
Summary: Driving comfort is a research field that involves human factors and relies on human evaluation. The research summarized previous studies on pavement performance perception using smartphones. Based on this, a driving data acquisition experiment was conducted using smartphones, and the probability representation method of driving comfort based on driving vibration process and vibration comfort was studied. Furthermore, a comprehensive comfort classification range for the vector synthetic vibration index was determined. Finally, the comfort probability of different vibration ranges was quantified using the Sigmoid function, and an evaluation index for driving comfort was proposed considering the influence of vibration difference.
ROAD MATERIALS AND PAVEMENT DESIGN
(2023)
Article
Geriatrics & Gerontology
Thomas A. Swain, Gerald McGwin Jr, Jonathan F. Antin, Cynthia Owsley
Summary: This study found that older drivers with lower CDRS composite scores had significantly higher rates of at-fault crashes, at-fault near-crashes, and combined at-fault crashes and near-crashes. The results suggest that CDRS ratings are valid for making decisions about licensure and recommendations for driving fitness and rehabilitation.
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY
(2021)
Article
Computer Science, Information Systems
Ryusei Kimura, Takahiro Tanaka, Yuki Yoshihara, Kazuhiro Fujikake, Hitoshi Kanamori, Shogo Okada
Summary: This paper focuses on estimating a driver's psychological characteristics using driving data, and develops a model to estimate cognitive function, psychological driving style, and workload sensitivity through machine learning and deep learning techniques. The experimental results show that the model can estimate a driver's cognitive function with high accuracy.
Article
Engineering, Civil
Marcel Mathissen, Nikica Hennes, Fabian Faller, Steffen Leonhardt, Daniel Teichmann
Summary: The study successfully induced stress using the n-back task with high inter-individual variation on a group level. Performing the n-back task simultaneously with a tactile detection response task doubled average response times. Stress-inducing secondary tasks led to sympathetic nervous activation, resulting in increased heart rate, respiration rate, and decreased heart rate variability.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Wonteak Lim, Seongjin Lee, Myoungho Sunwoo, Kichun Jo
Summary: This paper proposes a hybrid trajectory planning scheme that integrates the strength of sampling and optimization methods to solve the problem of safe trajectory planning in dynamic driving environments. The sampling method is used for lateral movement while the numerical optimization method is used for longitudinal movement, helping the planner generate adaptive trajectories in various situations.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Review
Psychology, Multidisciplinary
Thomas McWilliams, Nathan Ward
Summary: Partially automated vehicle technology is becoming more common on roads, providing safety benefits but also raising concerns about driver attention. Driving in partially automated mode on highways can lead to vigilance decrements, as drivers are required to do very little and may experience cognitive underload. Research has identified factors contributing to vigilance decrements and highlighted the different methodologies for measuring driver vigilance during partially automated driving.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Huacai Xian, Yujia Hou, Yu Wang, Shunzhong Dong, Junying Kou, Zewen Li
Summary: In this study, traffic heat maps were drawn using ArcGIS software based on vehicle GPS data of urban expressways in Jinan City. The relationship between risky driving behaviors and road types with traffic crashes was analyzed. An ordered logistic-based traffic safety evaluation model was established to predict the safety level of urban expressways, with an accuracy of 85.71% and good applicability. Results revealed that rapid deceleration was a significant influencing factor for crashes on urban expressways.
Article
Rehabilitation
Eric Chau, Adam Nishi, Lisa Kristalovich, Ana Holowaychuk, W. Ben Mortenson
Summary: This study investigated the predictive validity of the ScanCourse assessment for on-road driving performance and established clinical cutoff scores. The findings support the continued use of ScanCourse as a screening tool, with an identified optimal cutoff score for clinical use.
AMERICAN JOURNAL OF OCCUPATIONAL THERAPY
(2021)
Article
Neurosciences
Sanghee Moon, Melike Kahya, Kelly E. Lyons, Rajesh Pahwa, Abiodun E. Akinwuntan, Hannes Devos
Summary: Non-demented individuals with PD exhibited greater cognitive workload during a verbal abstract reasoning task compared to healthy controls, despite similar behavioral performance on the task. The clinical utility of pupillary response in detecting and monitoring early impairment in higher-order executive function in PD population will be further studied.
INTERNATIONAL JOURNAL OF NEUROSCIENCE
(2021)
Article
Rehabilitation
Melike Kahya, Kelly E. Lyons, Rajesh Pahwa, Abiodun E. Akinwuntan, Jianghua He, Hannes Devos
Summary: The study investigated the reliability and validity of pupillary response during dual-task balance conditions in individuals with Parkinson disease (PD). The results showed excellent test-retest reliability and validity of pupillary response in PD patients and healthy controls during dual-task balance. Increased mental demand was significantly correlated with increased pupillary response in individuals with PD.
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
(2021)
Article
Clinical Neurology
Linda J. D'Silva, Prabhakar Chalise, Sakher Obaidat, Michael Rippee, Hannes Devos
Summary: The study found that individuals with mTBI performed poorly in dynamic mobility tasks and had higher symptom severity. Dynamic balance deficits were associated with time since concussion, visual function, and symptom severity.
FRONTIERS IN NEUROLOGY
(2021)
Article
Biotechnology & Applied Microbiology
Sanghee Moon, Chun-Kai Huang, Maryam Sadeghi, Abiodun E. Akinwuntan, Hannes Devos
Summary: This proof-of-concept study evaluated the safety, sense of presence, system usability, and face validity of a newly developed Virtual Reality Comprehensive Balance Assessment and Training (VR-ComBAT) in healthy young individuals. The results demonstrated that VR-ComBAT provides a safe, feasible, and cost-effective VR environment that shows consistent sensory re-weighting between visual, somatosensory, and vestibular systems. Future studies should explore the use of VR-ComBAT for precision rehabilitation of balance and fall prevention in older adults with and without neurological conditions.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Article
Psychology, Applied
Vishal C. Kummetha, Alexandra Kondyli, Hannes Devos
Summary: Driver comprehension is crucial in driving, especially when accidents related to autonomous driving systems raise safety concerns for other road users. Monitoring driver comprehension in real-time is proposed as the first step towards reinstating safety accountability in driver-in-the-loop automation systems.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2021)
Article
Rehabilitation
Tobia Zanotto, Irina Galperin, Anat Mirelman, Shahar Yehezkiyahu, John Estes, Lingjun Chen, Keren Regev, Arnon Karni, Tanja Schmitz-Hubsch, Friedemann Paul, Sharon G. Lynch, Abiodun E. Akinwuntan, Hannes Devos, Jeffrey M. Hausdorff, Jacob J. Sosnoff
Summary: Frailty is significantly associated with a history of falls in people with multiple sclerosis (MS), independent of age, sex, and disease severity.
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
(2022)
Article
Neurosciences
Hannes Devos, Kathleen Gustafson, Ke Liao, Pedram Ahmadnezhad, Bradley Estes, Laura E. Martin, Jonathan D. Mahnken, William M. Brooks, Jeffrey M. Burns
Summary: This study investigated the association between elevated beta-amyloid and neuronal hyperexcitability in cognitively normal older adults. The results suggest that elevated amyloid is associated with decreased P3 task difference, indicating early impairments in working memory processes.
TRANSLATIONAL NEURODEGENERATION
(2022)
Article
Psychology, Biological
I Hoang, L. Paire-Ficout, R. Derollepot, S. Perrey, H. Devos, M. Ranchet
Summary: Executive functions are crucial for successful walking tasks, especially when performing dual tasks. Previous studies have focused on the prefrontal cortex activity in older adults under different walking conditions, but little is known about the changes in dorsolateral prefrontal cortex (DLPFC) activity during the early stages of aging. This study aimed to compare the changes in DLPFC activity during simple and dual task walking across three age groups. The results revealed that older adults exhibited increased DLPFC activity in the right hemisphere during simple task walking, but they seemed to have enough cognitive resources to maintain performance during dual task walking. These findings suggest the presence of compensation mechanisms in early aging, which may have implications for fall risk assessment.
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY
(2022)
Article
Chemistry, Analytical
Melike Kahya, Ke Liao, Kathleen M. Gustafson, Abiodun E. Akinwuntan, Brad Manor, Hannes Devos
Summary: This study aimed to understand the effect of increasing postural task difficulty on pupillary response and EEG outcomes in young adults. The results show that increased difficulty is associated with greater pupillary response, increased posterior alpha power, and increased fronto-central theta/beta power ratio. Pupillary response is also correlated with lower posterior alpha power and lower center of pressure displacement.
Review
Psychiatry
Mark J. Rapoport, Justin Nathaniel Chee, Thadshagini Prabha, Jamie Dow, Ian Gillespie, Sjaan Koppel, Judith L. Charlton, Desmond O'Neill, Paul C. Donaghy, Angela Onkay Ho, John-Paul Taylor, Mark Tant
Summary: This systematic review examined the risk of motor vehicle crashes (MVCs) for drivers with psychiatric disorders. The findings showed that 15 studies reported an increased risk of MVC associated with psychiatric disorders, while 9 studies did not find such an association. However, the available evidence is of mixed quality and does not support a blanket restriction on all drivers with psychiatric disorders. Therefore, an individualized approach is still recommended for managing this issue.
CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE
(2023)
Article
Psychology, Applied
Maud Ranchet, Roland Bremond, Prashant Pala, Michele Colomb, Viola Cavallo
Summary: The study found that aging negatively affects the detection ability of vulnerable road users, even in the younger-old group. Older-old adults had poorer detection abilities for VRUs, especially when the VRU was a motorcyclist or a cyclist. Older-old adults required more fixations and visual exploration to correctly detect VRUs.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2022)
Article
Neurosciences
M. Ranchet, I. Hoang, R. Derollepot, L. Paire-Ficout
Summary: This study aimed to investigate the test-retest reliability of prefrontal activity during usual walking in patients with Parkinson's Disease using fNIRS. The results showed that fNIRS can be a reliable tool for rehabilitation studies in patients with PD.
Article
Chemistry, Analytical
Julia Greenfield, Veronique Delcroix, Wafae Ettaki, Romain Derollepot, Laurence Paire-Ficout, Maud Ranchet
Summary: This study analyzed the relationship between cortical activity and walking speed in elderly adults. The results showed that individuals with a slower preferred walking speed required a higher increase in cortical activity. Individuals in the fast cluster presented greater changes in cortical activation in the right hemisphere. This study demonstrates the importance of cortical activity in relation to walking speed and suggests that age may not be the most relevant factor.
Article
Psychology, Applied
Hannes Devos, Pedram Ahmadnezhad, Ke Liao, Kathleen M. Gustafson, Sodiq Fakorede, Laura E. Martin, Thanh-Truc Nguyen, Abiodun E. Akinwuntan, Jeffrey M. Burns
Summary: This study compared changes in cortical activity during conditional automation between older adults with normal cognition and cognitive impairment. The results showed that older adults with cognitive impairment exhibited more significant changes in cortical activity during emergency situations compared to controls. This suggests that older adults with cognitive impairment show increased cortical activity while engaging with automated vehicle technology.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2023)
