• Title/Summary/Keyword: Driving Intervention

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Relative Effects of Education and In-vehicle Information System on Eco-driving and Driving Workload (교육과 차량 내 정보 제공 장비가 에코 드라이빙 행동과 운전자 작업부하에 미치는 영향에 대한 검증)

  • Lee, Kyehoon;Oah, Shezeen
    • Journal of the Korean Society of Safety
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    • v.28 no.5
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    • pp.66-70
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    • 2013
  • This study examined the relative effects of education and eco-IVIS(in-vehicle information system) to reduce fuel consumption and greenhouse gas emissions. Also the study investigated the increasing of driving workload when drivers interact with intervention technique. Thirty participants randomly assigned into two groups(training and eco-IVIS) and conducted driving before and after the each intervention technique. While driving, we observed three driving behaviors: Frequency of excessive RPM, percent of speeding, and mean fuel efficiency. Also the Driver Activity Load Index was used to rate participants' subjective ratings of driving workload. Although the results showed positive impact of both education and eco-IVIS to increasing the eco-driving behaviors, eco-IVIS was more effective than education. However, we found comparable level of driving workload in the education and eco-IVIS.

A Systematic Study of Computer-Based Driving Intervention Program for Elderly Drivers (노인 운전자에게 적용한 컴퓨터 기반 운전중재 프로그램에 관한 체계적 고찰)

  • Kim, Deok Ju
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.4
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    • pp.293-302
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    • 2019
  • This study systematically analyzed computer-based driving intervention programs for seniors, to provide the academic background for driving intervention for seniors. Articles published from January 2009 till December 2018 were researched and analyzed. 'PubMed, Google Scholar, and Science Direct' were used to search articles published overseas, and 'RISS, KERIS, and KISS' searched for articles published in Korea. Based on the inclusion and exclusion criteria, totally 359 papers were retrieved, and 10 articles were finally analyzed; 8 articles (80%) were evidence level I, and 2 articles (20%) were evidence level III. Amongst the computer-based interventions, driving simulators (70%) were the most common, followed by two video image training (20%) and one Nintendo Wii program (10%). In most studies, driving simulators trained the cognitive and visual abilities of seniors and enhanced their abilities to cope with risk situations under various simulated circumstances. Other interventions were also reported to have a positive effect. For evaluating elderly drivers, the driving performance evaluation using a driving simulator was the most common; in addition, evaluations of attention, space-time ability, cognitive function, risk perception, depression and anxiety were also commonly used. We believe that it is appropriate to employ computer-based driving intervention programs for seniors to train and evaluate various domains. We expect that these interventions can be used as an effective tool for safe driving.

Systematic Review of Driving Rehabilitation for Improving On-Road Driving (도로 주행 능력을 향상시키기 위한 운전재활의 체계적 고찰)

  • Park, Jin-Hyuck;Heo, Seo-Yoon;Seo, Jun;Park, Ji-Hyuk
    • Therapeutic Science for Rehabilitation
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    • v.5 no.2
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    • pp.35-47
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    • 2016
  • Objective: The aim of this study was to identify the driving rehabilitation for on-road driving through a systematic review. Methods: We systematically examined papers published in journals from December 2014 to January 2015, using CINAH, Embase, Pubmed, PsycINFO, and The Cochrane Library. Eventually, 15 studies were included in the analyses. Results: The evidence of 15 studies was from levels I, III, and V. The subjects included in the analyses were patients with stroke(40.0%), older driver(20.0%), traumatic brain injury(20.0%), acquired brain injury(13.3%) and spinal cord injury(6.7%). The intervention types were driving simulator training(53.3%), cognitive skills training(26.6%), off-road educational training(6.7%), adaptation of assistive device(6.7%), and behind-the-wheel training(6.7%). The effects of driving rehabilitation were different depending on the types of intervention. However, driving simulator training showed significant improvement of on-road assessments in all studies included this study. Conclusions: Driving rehabilitation for on-road driving has been used in various types. Specially, the effect of the driving simulator training has been proved by many studies. Future studies are to be required with client from a range of diagnostic groups to establish evidence-based interventions and determine their effectiveness in improving on-road driving.

The Effect of Driving Simulator Program on Elderly Drivers

  • Kim, Deokju
    • International Journal of Advanced Culture Technology
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    • v.9 no.2
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    • pp.18-31
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    • 2021
  • The purpose of the present study was to present evidence for driving interventions for the elderly by conducting programs that can improve visual perception and cognitive function in a driving simulator for elderly drivers and analyse their effects. Three elderly subjects who were 65 years or older, did not have physical and cognitive impairments, and were able to drive themselves participated in the present study. A total of 12 intervention sessions, of which subjects participated in 10 sessions of nine different visual perception and cognitive function programs available in a driving simulator, were conducted and pre- and post-program assessments were conducted (two assessments in total). The assessments included the evaluation of visual perception, frontal lobe function, concentration, safe driving behaviour, and self-efficacy. The results showed positive effects of the driving simulator program on the visual perception, frontal lobe function, concentration, safe driving behaviour, and self-efficacy of all subjects. Changes in the simulator results showed remarkable improvement in the response evaluation, judgment evaluation, and predictive power evaluation, but showed difficulties in interference tasks and depth perception in common. The results showed positive effects of driving simulator training on the driving ability of the elderly, and consistent provision of such training is expected to improve the quality of life of the elderly by securing the safety of driving and actively supporting social participation.

Perception of Occupational Therapists On Driving Rehabilitation (운전재활에 대한 작업치료사들의 인식 조사)

  • Shin, Joong-Il
    • The Journal of the Korea Contents Association
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    • v.11 no.4
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    • pp.283-289
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    • 2011
  • The purpose of this study is to provide some basic materials for the driving rehabilitation, by analyzing the presence and needs of the driving rehabilitation, which is recognized by the Occupational therapist. This study analyzed 83 survey questionnaires given to occupational therapist in Busan and Kyoung-nam. Most Occupational therapists does not receive lecture and education of driving rehabilitation, 62 Occupational therapist does not driving rehabilitation intervention. Most Occupational therapist mentioned driving rehabilitation needs. Driving rehabilitation influence on rehabilitation of clients and support activities of daily life.

Analysis of Factors Affecting the Health Behavior of Taxi-drivers (택시운전기사의 건강행위에 영향을 미치는 요인분석)

  • Ko, Ja-Kyung
    • Journal of East-West Nursing Research
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    • v.15 no.2
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    • pp.71-81
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    • 2009
  • Purpose: This study was conducted to find out interrelation of health behavior and related variables to provide basic data for an effective health promotion for the taxi-divers. Methods: 293 male taxi-drivers from 2 cities in Korea participated in this study. The data were collected using questionnaires from April 17th to Jun 3rd, 2006, and analyzed by descriptive statistics, t-test, ANOVA, Pearson correlation, and multiple regression. Results: There were statistically significant differences according to monthly income, past illness or surgery, current disease or medication, frequency of fright on daily driving (FFDD), driving fatigue, working style, social support in health status; current disease or medication, FFDD, driving fatigue, duty shift, social support in health perception; body mass index (BMI), FFDD, driving fatigue, intention of changing job, social support in health behavior. Social support, health status, health perception, and health behavior were significantly correlated with one another. The multiple regression analysis showed that health perception (17.8%), BMI (6.8%), intention of changing job (5.7%), and driving fatigue (4.2%) explained the 34.5% variance of health behavior. And the 22.6% of variance of health perception was explained by social support (12.2%), health status (6.9%), and duty shift (3.2%). Conclusions: To promote the taxi-drivers' health, nursing intervention strategies unique for them should consider health behavior and affecting factors.

The Characteristics of Elderly Drivers' Driving Behavior on Intersection Using Graphic Driving Simulator

  • Kim, Bo-Seong;Yi, Young-Chang;Kim, Hyun-Woo;Lim, Dong-Hoon;Bak, Mi-Seon;Ji, Doo-Hwan;Hong, Seung-Hee;Kang, Jin-Kyu;Min, Byung-Chan;Min, Yoon-Ki
    • Journal of the Ergonomics Society of Korea
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    • v.29 no.4
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    • pp.611-617
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    • 2010
  • To find out why elderly drivers have more frequent traffic accidents on intersection than any other one, this study was conducted to examine the characteristics of elderly drivers' driving behavior on intersection using a multifaceted driving behavior indicator. To do that, the driving behavior of both young adult drivers and elderly drivers were compared and analyzed, using a graphic driving simulator. As a result, compared with young adult drivers, elderly drivers showed a poor driving performance, and a high ratio of visual scanning time on the specific direction regardless of driving situation. Also, compared with young adult drivers, elderly drivers had a high overall level of arousal, and the phasic arousal activity on the specific stimulus was low. These results imply that through the intervention which induces the change in multifaceted indicators mentioned earlier, they could be helped to drive more safely on intersection.

Risk Situation Analysis with usage Patterns of Mobile Devices

  • Kim, Jeong-Seok
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.7
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    • pp.39-47
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    • 2018
  • This paper confirms the risk of using smartphone through the analysis of collected usage pattern and proposes the smartphone intervention system in risk situations. In order to check the risk of smartphone usage, we made information collecting application and collected smartphone usage pattern from 11 experiment participants for two months. By analyzing smartphone usage pattern, we confirmed that about 12% of smartphone usage is being used in driving, walking, and on the street. In addition, we analyzed the response rate of smartphone notification in risk situations and confirmed that user responds the smartphone notifications in real-time even in risk situations. Therefore, it is required to present a system that intervenes the use of smartphone in order to protect smartphone users in risk situations. In this paper, we classify risk situations of using smartphone. Also, the proposed smartphone intervention system is designed to periodically detect risk situations. In risk situations, smartphone function can be restricted according to user setting of smartphone. And smartphone can be used normally when safe situation is restored.

Development of a Longitudinal Control Algorithm based on V2V Communication for Ensuring Takeover Time of Autonomous Vehicle (자율주행 자동차의 제어권 전환 시간 확보를 위한 차간 통신 기반 종방향 제어 알고리즘 개발)

  • Lee, Hyewon;Song, Taejun;Yoon, Youngmin;Oh, Kwangseok;Yi, Kyongsu
    • Journal of Auto-vehicle Safety Association
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    • v.12 no.1
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    • pp.15-25
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    • 2020
  • This paper presents a longitudinal control algorithm for ensuring takeover time of autonomous vehicle using V2V communication. In the autonomous driving of more than level 3, autonomous systems should control the vehicles by itself partially. However if the driver's intervention is required for functional safety, the driver should take over the control reasonably. Autonomous driving system has to be designed so that drivers can take over the control from autonomous vehicle reasonably for driving safety. In this study, control algorithm considering takeover time has been developed based on computation method of takeover time. Takeover time is analysed by conditions of longitudinal velocity of preceding vehicle in time-velocity plane. In addition, desired clearance is derived based on takeover time. The performance evaluation of the proposed algorithm in this study was conducted using 3D vehicle model with actual driving data in Matlab/Simulink environment. The results of the performance evaluation show that the longitudinal control algorithm can control while securing takeover time reasonably.

Comparing Effects of Driving Simulator and Dynavision Training on Cognitive Ability and Driving Performance After Stroke (뇌졸중 이후 운전 시뮬레이터와 Dynavision 훈련이 인지 및 운전 수행 능력에 미치는 효과 비교)

  • Choi, Seong-Youl;Lee, Jae-Shin;Kim, Su-Kyoung;Cha, Tae-Hyun
    • Korean Journal of Occupational Therapy
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    • v.26 no.4
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    • pp.127-143
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    • 2018
  • Objective : The purpose of this study was to compare with the effects of driving simulator and Dynavision training after stroke through the test of cognitive ability and driving performance. Methods : Twenty-one stroke patients were randomly classified to the driving simulator training group (N=11) and Dynavision training group (N=10), and were carried out respectively training for 15 times. The driving performances was measured by the driving simulator test, and cognitive-perceptive abilities was measured by the DriveABLE Cognitive Assessment Tool, Trail Making Test-A, Trail Making Test-B and Mini Mental State Examination-K. Results : The driving simulator training group showed significant changes in all cognitive tests and most of driving performances. The Dynavision training group also showed significant changes in all cognitive tests except for Trail Making Test-A and some driving performances. The significant differences on both groups were found regarding the estimated degree of results on the on-road evaluation, the number of off road accidents and collisions. In addition, the causal influence of the two training methods on these variables was analyzed to be more than 20%. Conclusion : The driving simulator and Dynavision training were found to be effective intervention in the driving rehabilitation after stroke. In particular, it was confirmed that the driving simulator is an effective training to improve overall driving ability of stroke patients. In addition, the difference in training effect between the two training methods was found to be more than 20%.