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2022 ◽  
Vol 14 (2) ◽  
pp. 630
Author(s):  
Jin-Ki Eom ◽  
Kwang-Sub Lee ◽  
Sangpil Ko ◽  
Jun Lee

In the face of growing concerns about urban problems, smart cities have emerged as a promising solution to address the challenges, for future sustainable societies in cities. Since the early 2000s, 67 local governments in Korea have been participating in smart city projects, as of 2019. The Sejong 5-1 Living Area smart city was selected as one of two pilot national demonstration smart cities. The main objectives of this study are to introduce the Sejong 5-1 Living Area smart city project that is currently in the planning stage, present travel and mode preferences focusing on external trips in a smart city context to be built, and analyze a mode choice model according to the socioeconomic characteristics of individual travelers. One of the distinguishing features of the Sejong smart city is its transportation design concept of designating a sharing car-only district within the city to limit private vehicle ownership to about one-third of residents, while bus rapid transit (BRT) plays a central role in mobility for external trips among four transport modes including private cars, BRT, carsharing, and ridesharing. This study was analyzed using the stated preference survey data under hypothetical conditions by reflecting the unique characteristics of the Sejong smart city transportation policy. Approximately two-thirds of respondents in the survey preferred to spend less than 1.25 USD, traveling less than 35 min on BRT trips. On the basis of the survey data, we developed a mixed logit mode choice model and found the overall model estimates to be statistically significant and reasonable. All people-specific variables examined in this study were associated with mode choices for external commuting trips, including age, income, household size, major mode, driving ability, and presence of preschoolers.


2022 ◽  
Vol 14 (1) ◽  
pp. 483
Author(s):  
Jianguo Gong ◽  
Xiucheng Guo ◽  
Lingfeng Pan ◽  
Cong Qi ◽  
Ying Wang

Research on the influence of age on various automated driving conditions will contribute to an understanding of driving behavior characteristics and the development of specific automated driving systems. This study aims to analyze the relationship between age and takeover behavior in automated driving, where 16 test conditions were taken into consideration, including two driving tasks, two warning times and four driving scenarios. Forty-two drivers in Beijing, China in 2020 were recruited to participate in a static driving simulator with Level 3 (L3) conditional automation to obtain detailed test information of the recorded takeover time, mean speed and mean lateral offset. An ANOVA test was proposed to examine the significance among different age groups and conditions. The results confirmed that reaction time increased significantly with age and the driving stability of the older group was worse than the young and middle groups. It was also indicated that the older group could not adapt to complex tasks well when driving due to their limited cognitive driving ability. Additionally, the higher urgency of a scenario explained the variance in the takeover quality. According to the obtained influencing mechanisms, policy implications for the development of vehicle automation, considering the various driving behaviors of drivers, were put forward, so as to correctly identify the high-risk driving conditions in different age groups. For further research, on-road validation will be necessary in order to check for driving simulation-related effects.


2021 ◽  
Vol 61 (1) ◽  
pp. 32-39
Author(s):  
Roland Antonić ◽  
Slobodan Janković ◽  
Marko Folić

Abstract Introduction Professional drivers’ knowledge about driving-impairing medications is not satisfactory. The aim of this study was to develop and test the reliability and validity of the questionnaires designed to measure the knowledge and attitude of professional drivers about the influence of various medications on driving ability. Methods The questionnaires for assessing professional driver’s knowledge (performance-based) and attitudes about influence of various medications on driving abilities were developed by creating the item pool, testing reliability and validity, and factor analysis. The study was conducted as a multicenter, cross-sectional study in Serbia and Bosnia and Herzegovina. The study population consisted of professional drivers, who filled out both questionnaires in three time intervals. Results Both questionnaires showed great internal consistency and temporal stability. Cronbach’s Alpha for the first questionnaire was 0.984 and for the second it was 0.944. The Kaiser–Meyer–Olkin test for the first questionnaire confirmed sampling adequacy with its value of 0.964 and for the second questionnaire it was 0.933. Exploratory factor analysis of the questionnaire showed that three factors were revealed after rotation for the first questionnaire and they explained 78.0% of variance. Both questionnaires showed high degree of correlation between scores after the first and repeated administration, Spearman’s rho coefficient of correlation for was 0.962 and 0.980. Conclusion Based on the results of this study, we believe that both questionnaires are useful tools for testing professional drivers’ knowledge and attitudes about the influence of medications on driving ability.


SLEEP ◽  
2021 ◽  
Author(s):  
David J Sandness ◽  
Stuart J McCarter ◽  
Lucas G Dueffert ◽  
Paul W Shepard ◽  
Ashley M Enke ◽  
...  

Abstract Study Objectives To analyze cognitive deficits leading to unsafe driving in patients with REM Sleep Behavior Disorder (RBD), strongly associated with cognitive impairment and synucleinopathy-related neurodegeneration. Methods Twenty isolated RBD (iRBD), 10 symptomatic RBD (sRBD), and 20 age- and education-matched controls participated in a prospective case-control driving simulation study. Group mean differences were compared with correlations between cognitive and driving-safety measures. Results iRBD and sRBD patients were more cognitively impaired than controls in global neurocognitive functioning, processing speeds, visuospatial attention, and distractibility (p<0.05). sRBD patients drove slower with more collisions than iRBD patients and controls (p<0.05), required more warnings, and had greater difficulty following and matching speed of a lead car during simulated car-following tasks (p<0.05). Driving-safety measures were similar between iRBD patients and controls. Slower psychomotor speed correlated with more off-road accidents (r=0.65) while processing speed (-0.88), executive function (-0.90) and visuospatial impairment (0.74) correlated with safety warnings in sRBD patients. Slower stimulus recognition was associated with more signal-light (0.64) and stop-sign (0.56) infractions in iRBD patients. Conclusions iRBD and sRBD patients have greater selective cognitive impairments than controls, particularly visuospatial abilities and processing speed. sRBD patients exhibited unsafe driving behaviors, associated with processing speed, visuospatial awareness, and attentional impairments. Our results suggest that iRBD patients have similar driving-simulator performance as healthy controls but that driving capabilities regress as RBD progresses to symptomatic RBD with overt signs of cognitive, autonomic, and motor impairment. Longitudinal studies with serial driving simulator evaluations and objective on-road driving performance are needed.


2021 ◽  
Vol 21 (2) ◽  
pp. 93-101
Author(s):  
Agata Rost ◽  
◽  
Emilia J. Sitek ◽  
Adam Tarnowski ◽  
◽  
...  

The paper aims to present the current views on the impact of post-stroke cognitive deficits on driving ability, and diagnostic assessment practices in this area. Firstly, the neuropsychological consequences of stroke are briefly presented. This part focuses specifically on visuospatial and executive dysfunctions. Among those dysfunctions, unilateral neglect, especially as it is frequently associated with anosognosia, may have the greatest impact on driving ability, leading to an increased accident risk. Then, different approaches to assessing fitness to drive after stroke are presented, including on-road testing, testing with the use of simulator, and clinical assessment focusing on cognition. The role of cognitive assessment in predicting fitness to drive is described in more detail. The Clock Drawing Test is the most appropriate screening measure in this context, as it engages both visuospatial and executive functions. The Trail Making Test is the most popular working memory test in the context of drivers’ assessment, as it requires visual search and psychomotor speed. The Rey Complex Figure Test is another commonly used test. It requires visuospatial and executive functions, and may also serve as a measure of visuospatial memory. Finally, the legal aspects of the assessments are discussed with reference to the practices used in Great Britain, Belgium, Sweden, and Germany. In Poland, there are no detailed standards for post-stroke fitness-to-drive assessment.


Author(s):  
Zhengjie Liu ◽  
Dongxin Xu ◽  
Jiaru Fang ◽  
Qijian Xia ◽  
Wenxi Zhong ◽  
...  

The electrophysiological signal can reflect the basic activity of cardiomyocytes, which is often used to study the working mechanism of heart. Intracellular recording is a powerful technique for studying transmembrane potential, proving a favorable strategy for electrophysiological research. To obtain high-quality and high-throughput intracellular electrical signals, an integrated electrical signal recording and electrical pulse regulating system based on nanopatterned microelectrode array (NPMEA) is developed in this work. Due to the large impedance of the electrode, a high-input impedance preamplifier is required. The high-frequency noise of the circuit and the baseline drift of the sensor are suppressed by a band-pass filter. After amplifying the signal, the data acquisition card (DAQ) is used to collect the signal. Meanwhile, the DAQ is utilized to generate pulses, achieving the electroporation of cells by NPMEA. Each channel uses a voltage follower to improve the pulse driving ability and isolates each electrode. The corresponding recording control software based on LabVIEW is developed to control the DAQ to collect, display and record electrical signals, and generate pulses. This integrated system can achieve high-throughput detection of intracellular electrical signals and provide a reliable recording tool for cell electro-physiological investigation.


2021 ◽  
Vol 3 (2) ◽  
pp. e000210
Author(s):  
Andrew Roy Charmley ◽  
Thomas Kimber ◽  
Neil Mahant ◽  
Alexander Lehn

BackgroundThere are currently no Australian guidelines to assist clinicians performing deep brain stimulation (DBS) procedures in setting postoperative driving restrictions.PurposeWe aimed to provide recommendations for post-DBS driving restrictions to guide practice in Australia.MethodsA review of current Australian and international driving guidelines, literature regarding the adverse effects of DBS and literature regarding the long-term effect of neurostimulation on driving was conducted using Elton B Stephens Company discovery service-linked databases. Australian neurologists and neurosurgeons who perform DBS were surveyed to gain insight into existing practice.ResultsNo guidance on driving restrictions following DBS surgery was found, either in existing driving guidelines or in the literature. There was a wide difference seen in the rates of reported adverse effects from DBS surgery. The most serious adverse events (haemorrhage, seizure and neurological dysfunction) were uncommon. Longer term, there does not appear to be any adverse effect of DBS on driving ability. Survey of Australian practitioners revealed a universal acceptance of the need for and use of driving restrictions after DBS but significant heterogeneity in how return to driving is managed.ConclusionWe propose a 6-week driving restriction for private licences and 6-month driving restriction for commercial licences in uncomplicated DBS. We also highlight some of the potential pitfalls and pearls to assist clinicians to modify these recommendations where needed. Ultimately, we hope this will stimulate further examination of this issue in research and by regulatory bodies to provide more robust direction for practitioners performing DBS implantation.


2021 ◽  
Vol 24 (4) ◽  
pp. 292-296
Author(s):  
Peter J. Holland ◽  
Ruth M. Tappen ◽  
David O. Newman ◽  
Katherine C. Freeman-Costin ◽  
Lori J. Fisher

 Background  To determine the feasibility of conducting an RCT on the potential effectiveness of memantine hydrochloride in prolonging safe driving in mild AD.  Methods  A placebo-controlled, double blind randomized trial was conducted. Forty-three individuals ≥60 with mild AD met screening criteria and were randomized. Driving ability was measured by a standardized on-road driving test. Outcomes were driving capacity at 6 and 12 months and completion of the 12-month intervention.  Results  Of 43 participants randomized, 59% of the memantine group and 52% of the placebo group completed the on-road test at 12 months (p = .66). All 13 memantine group participants maintained their driving status at 12 months, whereas only 8 of the 11 placebo group participants did (p = .040, OR = 4.45).  Conclusions  Results provide the framework for designing a rigorous multisite clinical trial of memantine effect on maintaining driving capacity in mild AD. 


Author(s):  
A Henri-Bhargava ◽  
C Bell ◽  
D Thompson ◽  
M Bibok ◽  
J Nikolejsin ◽  
...  

Background: Discussions around driving cessation between clinicians and dementia patients are challenging. Patients view giving up their license as losing their independence. We sought to develop a tool that enables standardized and consistent driving messaging across clinicians working in a specialist memory clinic, across the span of cognitive disorders Methods: We developed a driving recommendations generator that allows clinicians to produce information handouts personalized to individual patient capabilities and needs. Clinicians select from a list of established recommendations that were developed with neurologist and geriatrician input, and consistent with provincial requirements. Recommendations cover patients’ current driving ability, road safety examinations, alternate transportation, and license revocation. Early driving retirement is emphasized and encouraged, to proactively support patients’ choices, safety and independence. Recommendation and handouts are printed for the patients. Results: Patients reported that the recommendations were easy to read and understand, and helped them to implement physician suggestions. All surveyed clients recommended continuing to provide such recommendations to future patients and families. Clinicians agreed that the tool helped them to save time, and simplified the process of finding accurate information to provide patients. Conclusions: Clinicians have found the system timesaving and useful for simplifying the process of providing helpful, informative resources for patients.


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