• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.5
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• pp.1-11
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• 2016

The purpose of this study is to contribute the use of special taxi for the transportation vulnerable such as elderly and pregnant woman in terms of improving transportation mobility and extending social participation. We analyzed the DB users of STS system operating in Suwon, and surveyed the preference statement. Specifically, we have built transportation mode choice models for the elderly and pregnant woman, and then we drew the activating STS plan by comparing influence factors for each model. Based on the results of the study, 23% of STS user was the elderly people and pregnant women, 31% of user was for hospital passage purpose, and short-haul passage within 2 ~ 5km was 70% level of the passage. According to preference survey results between STS and Bus, fare was the highest impact factor in the mode choices for the elderly, and the participants who are older and car owners have been found to prefer the special taxi. For the pregnant woman, travel time and fare were the main influence factors of choices, and it was discovered that they preferred the special taxi when they are car owners and trips was frequented. Also, if the fare of special taxi is about 70% of the regular taxi fare, The share rates of Special Taxi comparing to bus for the elderly and pregnant woman are analyzed to be 51.1% and 63.6% each. Therefore, the adjustment of the fare would be effective to encourage the use of the special taxi. The results of this study can be used as a basis for establishing the rational fare structure of the special taxi.

• Journal of Digital Convergence
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• v.13 no.6
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• pp.297-305
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• 2015

Forest area was applied as health promotion place for resident. Korea Forest Service set the term of "forest healing" based on the application of forest area as health promotion, which multidisciplinary approach in forest policy, and construct the "healing forest" for the healing space. Handicapped was excluded from the forest healing service as healing forest was located in the point away from urban area. The standard of healing forest size was difficult to set as urban forest area was fragmented. This study conducted on adequate standard of healing forest size in urban region. This study surveyed the laws related to the outdoor recreation place, and the walking range of the handicapped (elders, disabilities). The results were deduced with interrelationship between two factors(forest policy, human walking range). Healing forest size was not departmentalized for urban area compared with the standard of similar outdoor space (tourism complex, urban parks). Healing forest size was changed from 50ha to 25ha in national forest, from 30ha to 15ha in private forest considered with walking range of handicapped. This study contributes the evidence as the standard of healing forest size for health promotion in urban resident.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.4
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• pp.149-155
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• 2021

In this study, we intend to develop a defective road surface object recognition model that automatically detects road surface defects that restrict the movement of the transportation handicapped using electric mobile devices with deep learning. For this purpose, road surface information was collected from the pedestrian and running routes where the electric mobility aid device is expected to move in five areas within the city of Busan. For data, images were collected by dividing the road surface and surroundings into objects constituting the surroundings. A series of recognition items such as the detection of breakage levels of sidewalk blocks were defined by classifying according to the degree of impeding the movement of the transportation handicapped in traffic from the collected data. A road surface object recognition deep learning model was implemented. In the final stage of the study, the performance verification process of a deep learning model that automatically detects defective road surface objects through model learning and validation after processing, refining, and annotation of image data separated and collected in units of objects through actual driving. proceeded.

• 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.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 the Korea Contents Association
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• v.14 no.7
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• pp.151-160
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• 2014

The purpose of this study is to deduce improvement plan through analysis of the type and characteristics of traffic accidents caused by elderly drivers, and to establish the traffic safety policies for the elderly drivers. The analyzed result of road traffic accident situation are as follows. Firstly, Traffic accidents caused by elderly drivers were frequent on local roads of poor traffic safety facilities such as lighting. Secondly, The most frequent time zone of Traffic accidents caused by elderly drivers was 18:00 to 20:00, this time zone was mainly darkened. Thirdly, Traffic accidents are often caused by lack of attention occurred by no implementation of safe driving. Institutional Improvement of cosideration for elderly drivers and Traffic Safety Facilities maintenance considering regional particularities is needed for reducing traffic accidents and the safety of our society. Their driving skills of elderly drivers should test themselves constantly, and elderly drivers must hold down driving yourself using the alternative transportation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.4
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• pp.264-272
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• 2016

In previous research, we analyzed traffic accident characteristics in the Chungcheong region through factor analysis, cluster analysis, and a questionnaire using traffic accident analysis system data to enhance Korea's traffic safety. Based on the analysis results, we investigated the design and application of traffic safety technology in non-urban areas in this study. Three technologies are proposed to improve traffic safety facilities for the region: a recognition light at pedestrian crossing works, a recognition light on the road for the underprivileged in traffic works, and a safety LED sign for operation of agricultural machine works. Each technology complements the light pollution problem about snow removal and road safety when applied to existing facilities in the non-urban areas. Solar-based indigenous technology is expected to contribute to road safety in rural areas.

• Journal of the Korea Convergence Society
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• v.8 no.3
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• pp.41-48
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• 2017

The TAGO and TOPIS systems have limitations in providing not only information collection problems but also customized information that meets the requirements of users in providing information. In addition, there is a lack of integrated link information for various means. In addition, there is a limitation in using public transportation because all the users can not conveniently use public transportation because of lack of user - customized information and traffic - related information. In this paper, in this paper, we analyze the current status of domestic and international public transport information systems and services, Through this, we expect to be able to provide customized information tailored to the requirements of users by providing integrated linking information for various means.

• The Magazine for Energy Service Companies
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• s.60
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• pp.22-25
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• 2009

도시에서 녹색성장을 위한 노력은 이미 '지속가능한 도시'를 위한 노력의 일환으로 토지이용, 주택, 교통, 환경, 산업, 행정계획 등 다방면에 걸쳐서 여러 곳에서 활발히 진행되어 왔다. 지속가능한 도시는 안정적인 경제성장, 쾌적하고 건강한 환경의 보전, 사회적 약자의 보호와 문화발전을 동시에 달성하는 도시를 의미한다. 지금까지의 도시성장이 경제위주의 양적 성장이었다면 지속가능한 도시성장은 환경문제와 사회문제를 경제문제와 같은 비중으로 다루어나가는 질적인 발전을 의미한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.590-593
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• 2021

본 연구에서는 목발을 사용하는 교통약자가 물품을 안정적으로 휴대할 수 있도록 도와주는 장치를 개발하였다. 2축 짐벌 구조를 기반으로 서보모터, IMU센서, 아두이노 나노 마이크로프로세서로 구현하였고, Pitch와 Roll 방향 회전을 상쇄하기 위해 센서 각도를 변환 없이 사용하는 기본제어법과 PID 제어법을 사용하여 비교하였다.