• International Journal of Railway
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• v.1 no.4
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• pp.143-148
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• 2008

This paper is the output of a collaborative European project concerning the barrier free accessibility for disabled persons to regional and long distance trains in Europe. Disabled people represent around 13% of the population in Europe. This is approximately 63 million people. The range of disabilities includes people with reduced mobility including wheel chair users, viewing and hearing impaired people and other forms of impairment. Improving accessibility aims at contributing to the provision of public transport services to all citizens in an equitable way. The purpose of the project was to analyse and to evaluate the existing solutions at selected European railways for all required modules at the entrance (doors, information and safety solutions), to derive a design concept, to develop a mock-up in meeting the needs of rail travellers with the above mentioned impairments and to test it with user groups. The project also aims at deriving components for the determination of standards. The EUPAX Design Mock-up test was performed to verify the advantages of the layout of the train segment including the different modules such as access area (including the access door, gaps between platform and train as well as boarding aid devices), entrance vestibule, information systems inside and outside the train, emergency facilities, toilet with all conveniences and the additional test arrangements regarding push buttons, steps and emergency equipment. For this purpose a questionnaire was developed for the assessment of the EUPAX segment and the additional test arrangements. With the help of this questionnaire it was possible to execute a quantitative and qualitative evaluation. During three test phases 67 experts and handicapped persons from 6 countries have evaluated the Industrial Design mock-up based on this questionnaire. The test group covered persons from North (Denmark) to the South (Italy) and from the West (Spain) to the Middle of Europe (Germany). This is especially important for the generalization (harmonisation) of the results for all European countries. According to COST 335 the information for people with reduced mobility should be clear, concise, accurate and timely. So that all information can be received from persons, they must be transferred on at least two of the three possible ways (acoustical, visual, tactile), a so called "2-sense-principle". Based on the results ergonomic specifications/ solutions for the ergonomic design of the access area, the acoustic, visual and tactile information and the emergency devices including the emergency communication system were developed, related to the benefiting passenger groups.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.6
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• pp.87-96
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• 2022

The traffic vulnerable, including elderly pedestrians, have a relatively low walking speed and slow cognitive response time due to reduced physical ability. Although a smart crossing system has been developed and operated to improve problem, it is difficult to operate a signal that reflects the appropriate walking speed for each pedestrian. In this study, a neural network model and a multiple regression model-based traversing speed estimation model were developed using image information collected in an area with a high percentage of traffic vulnerability. to support the provision of optimal walking signals according to real-time traffic weakness. actual traffic data collected from the urban traffic network of Paju-si, Gyeonggi-do were used. The performance of the model was evaluated through seven selected indicators, including correlation coefficient and mean absolute error. The multiple linear regression model had a correlation coefficient of 0.652 and 0.182; the neural network model had a correlation coefficient of 0.823 and 0.105. The neural network model showed higher predictive power.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.2559-2566
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• 2014

Recently, safety accident by misstep at the gap between the platform and railway vehicle have frequently occurred to the mobility handicapped including disabled person, children etc. in metropolitan subway region. Particularly, because the curved platform's gap from platform to railway vehicle is max. 260mm it is important to securement of the passenger's safe mobility right. So it is necessary to platform safety step equipment for needs technology to interface gap between the platform and railway vehicle. In this study we examined the function & production requirements of platform safety step and performed the conceptual design considering the crash safety and maintenance easiness. Moreover, considering various performance requirements we suggested step's operation procedure & control flowchart.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.193-202
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• 2021

Barrier-free is defined as inclusive design of built environments such as building and its facilities that can be approached, entered and used by persons with disabilities. The purpose of this paper develops the content that can identify the physical barriers in the way of movement and provide information associated with barrier-free by using both Geospatial Information and Virtual Reality technology. For this, we conducted literature reviews to find the tackling barriers in terms of barrier-free access and extracted main functions to construct the content. Then, the prototype model which composed of VR engine and 3D geospatial data was implemented, and finally the utilization of the prototype was checked in accordance with barrier-free scenario. The developed prototype model of this study would be contributed to design the barrier-free of public places and access to public buildings for the mobility-disabled people.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.4
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• pp.167-178
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• 2023

Our society is rapidly changing, and there is a growing demand for various convenience services in our daily lives. Among these services, railway and subway stations require tailored wayfinding services to accommodate individuals with disabilities. Currently, signage and information desks are the primary means of navigation. However, individuals with disabilities often rely on assistance from others due to physical discomfort or cognitive impairments. In this paper, we propose a customized wayfinding system within railway stations to assist individuals with disabilities. This system aims to ensure safe and convenient mobility in complex indoor environments, including transfer facilities.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.3
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• pp.14-33
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• 2019

MaaS, which provides all-in-one service for comfort mobility for customers, has been popularly researched and developed mainly in Europe. Even in Korea, the research on MaaS is also carried out which is fit to the mobility environment and needs of Korea. Korea Land & Housing Corporation(LH) also carries out research on MaaS called 'Integrated Mobility' for the residents living in LH public apartments. This study categorised the around 800 public apartments into 12 groups based on 3 key characteristics, then analysed the preference on shared-transport services by the residents of representing apartments for the each group using C&RT method. The results show that the preference on shared-transport services such as car-sharing and ride-sharing (carpool) were higher in the apartments which are located in medium or small cities or lived by the more handicapped resident groups in mobility such as the elderly. The study suggests the method to analysis the relationship between residents' preference on shared transport services and bounded ertain areas such as apartments or districts and then to introduce shared transport service fit to target areas.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.3
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• pp.166-172
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• 2022

In this study, we photograph driving obstacle objects such as crosswalks, side spheres, manholes, braille blocks, partial ramps, temporary safety barriers, stairs, and inclined curb that hinder or cause inconvenience to the movement of the vulnerable using electric mobility aids. We develop an optimal AI model that classifies photographed objects and automatically recognizes them, and implement an algorithm that can efficiently determine obstacles in front of electric mobility aids. In order to enable object detection to be AI learning with high probability, the labeling form is labeled as a polygon form when building a dataset. It was developed using a Mask R-CNN model in Detectron2 framework that can detect objects labeled in the form of polygons. Image acquisition was conducted by dividing it into two groups: the general public and the transportation weak, and image information obtained in two areas of the test bed was secured. As for the parameter setting of the Mask R-CNN learning result, it was confirmed that the model learned with IMAGES_PER_BATCH: 2, BASE_LEARNING_RATE 0.001, MAX_ITERATION: 10,000 showed the highest performance at 68.532, so that the user can quickly and accurately recognize driving risks and obstacles.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.200-208
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• 2022

In this study, an automatic information collection system and geographic information construction algorithm for the transportation disadvantaged using electric mobility aids are implemented using an object recognition model. Recognizes objects that the disabled person encounters while moving, and acquires coordinate information. It provides an improved route selection map compared to the existing geographic information for the disabled. Data collection consists of a total of four layers including the HW layer. It collects image information and location information, transmits them to the server, recognizes, and extracts data necessary for geographic information generation through the process of classification. A driving experiment is conducted in an actual barrier-free zone, and during this process, it is confirmed how efficiently the algorithm for collecting actual data and generating geographic information is generated.The geographic information processing performance was confirmed to be 70.92 EA/s in the first round, 70.69 EA/s in the second round, and 70.98 EA/s in the third round, with an average of 70.86 EA/s in three experiments, and it took about 4 seconds to be reflected in the actual geographic information. From the experimental results, it was confirmed that the walking weak using electric mobility aids can drive safely using new geographic information provided faster than now.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.2
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• pp.119-125
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• 2023

In this study, we photograph driving obstacle objects such as crosswalks, side spheres, manholes, braille blocks, partial ramps, temporary safety barriers, stairs, and inclined curb that hinder or cause inconvenience to the movement of the vulnerable using electric mobility aids. We develop an optimal AI model that classifies photographed objects and automatically recognizes them, and implement an algorithm that can efficiently determine obstacles in front of electric mobility aids. In order to enable object detection to be AI learning with high probability, the labeling form is labeled as a polygon form when building a dataset. It was developed using a Mask R-CNN model in Detectron2 framework that can detect objects labeled in the form of polygons. Image acquisition was conducted by dividing it into two groups: the general public and the transportation weak, and image information obtained in two areas of the test bed was secured. As for the parameter setting of the Mask R-CNN learning result, it was confirmed that the model learned with IMAGES_PER_BATCH: 2, BASE_LEARNING_RATE 0.001, MAX_ITERATION: 10,000 showed the highest performance at 68.532, so that the user can quickly and accurately recognize driving risks and obstacles.

• The Journal of Korean Physical Therapy
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• v.10 no.2
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• pp.161-171
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• 1998

Balance can be defined as the ability to maintain the body's center of gravity within the base of support with minimal sway. Falls occur frequently in the elderly persons by the physiological change and dysfunction with age. Injuries resulting from falls include soft tissue damage and fractures of the radius, humerus, and femoral neck other consequences of falls include decreased mobility, reduced confidence, long lies (which can give rise to hypothermia, dehydration and pneumonia), and death Risk factors for falls have beau classified as intrinsic (those related to the individual) and extrinsic(those associated with environmental features), Intrinsic factors include decreased strength, visual deficits, vestibular dysfunction, and decreased vibratory sensation in the feet. Improvement of the balance related to the increased probability for fells in the elderly persons and is important for fall preventions and improvement of the living quality ef the elderly persons