• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.6D
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• pp.703-709
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• 2009

This article analyzes the obtained data on consciousness survey of disabled and non-disabled pedestrians, and proposes fundamental data for public strategy in order to enhance facilities in subway stations in advance. This paper conduct literature review, new listing survey related to 'The Code for Improvement of Convenience for Moving Vulnerable Pedestrians', and Modified-Importance-Performance Analysis (M-IPA). The results show that disabled pedestrians want enhancement in information facilities as a whole. In addition, the results show that several improvements needs to be applied to accessible sidewalk, to informative notification, to alarm and evacuation system and to toilet for disabled pedestrians. This indicates that disabled pedestrians heavily concentrate on accessibility to subway station and provided information compared with disabled pedestrians.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.1
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• pp.65-74
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• 2021

This study empirically analyzes the effect of pedestrians' personal and household characteristics and accessibility to public facilities on a walking safety satisfaction (WSS) level. The aim is to find ways to improve vulnerable pedestrians' WSS level and contribute to the creation of an inclusive urban environment. As a result of the analysis, age and gender variables were important for elderly people, and education was an important factor for disabled people. The WSS level was impacted by the factors of single-person households, income, and residential areas. In the case of accessibility to public facilities, the greater the satisfaction with accessibility to public institutions, urban parks and green areas, and public transport, the greater the WSS for the elderly and the disabled. And, the greater the satisfaction with accessibility to commercial facilities, the greater the WSS was for the elderly's WSS. However, the satisfaction with access to medical facilities was the opposite in the case of the elderly.

• Journal of the Korean Society of Safety
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• v.31 no.6
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• pp.12-18
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• 2016

This paper describes an optimal design of electric snow melting mat on vulnerable walk zone. In order to design an optimal electric power of snow melting mat and protect pedestrians with a nonslip mat, with considering protection of environmental pollution from abusing of the de-icing salts added calcium chloride. We analyzed nine snow melting mats through verification experiment in the condition of $-5^{\circ}C$, depending on three different kinds of heating material, electric heating cable, carbon heating film and carbon textile film. As a consequence, the $150W/m^2$ carbon textile film mat for snow melting was identified as an optimal power input and functional performance for pedestrians' safety on vulnerable walk zone. It is expected that the $150W/m^2$ carbon textile film mat would be useful to reduce slip down accidents by human error.

• Journal of Korean Society of Transportation
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• v.33 no.3
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• pp.276-283
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• 2015

Pedestrians have been exposed to dangerous traffic environments, in which walking spaces in a city decrease without improved facilities even though cars increase. Such poor walking environments are deadly dangerous to the vulnerable as well as the non-vulnerable. This study analyzed the road facilities use characteristics according to a type of vulnerability in order to improve traffic safety and walking environment for vulnerable pedestrians. This study surveyed the vulnerable in terms of issues that they encountered on existing walkways and conducted the analytic hierarchy process (AHP), which took all quantitative and qualitative variables into account. The results of Level-3 analysis were showed that the elderly and the disabled were partially similar; both felt most inconvenient at enter-exit sections, steep walkway and bad paved walkway. Unlike those results, people with children and/or infants answered that overpass or underpass walkways without lifting facilities were most inconvenient walking environments.

• Transportation Technology and Policy
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• v.9 no.1
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• pp.49-55
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• 2012

• Transportation Technology and Policy
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• v.9 no.1
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• pp.57-66
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• 2012

• Journal of Advanced Navigation Technology
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• v.20 no.6
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• pp.588-594
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• 2016

As more populations are getting older, the number of vulnerable pedestrians is increasing, thereby social problems related to transportations also frequently occur in different areas and situations. Many of such problems come from bus drivers who may pass bus stops not recognizing passengers about to board. In this paper, we propose a new IoT bus notification system developed to avoid these situations. Our implementation aims to gain bus service routes using publicly opened data, notify passengers about bus stop locations using GPS information and finally deliver the positions of those passengers to the bus drivers so that they can hardly miss passengers who are willing to board on the right stop. By creating an application, it was conducted by means of a GPS to communicate the location of the vehicle by means of GPS and transfer data to the location of the vehicle. Experimental results show that it is possible to accurately determine the position of passengers even in a crowded race area. The average error distance is 31m, and if the data to be processed as error is excluded, it provides a high reliability as 19m.

• Journal of the Korean Society of Safety
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• v.23 no.4
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• pp.90-98
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• 2008

Presently, pedestrian's signal time models in korea are not considering Vulnerable-Pedestrian. So, the safety of Vulnerable-Pedestrian is being threatener and the number of accidents is increasing. Besides, the existing operational system for pedestrians can't offer the cross signal time in road corresponded the changing environment when the school zone is revitalized and the Silver zone is introduced for Vulnerable-Pedestrian. Conclusively, Vulnerable-Pedestrian's signal time models which are able to consider classified Vulnerable-Pedestrian speed, Vulnerable-Pedestrian perception-reaction time, Vulnerable-Pedestrian Spare(congestion-delay) time are suggested by the result of experiment in virtual crosswalk. the application of suggested models in this study to the site. It is possible to use as a basic stuff on study of pedestrian's signal time and expected to contribute the safety and mobility in future.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.2
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• pp.215-222
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• 2016

Research on gait recognition and its use is actively underway. This study suggests a method to recognize abnormal gaits of pedestrians. The purposes of the existing research to recognize normal steps are to measure physical activities and to validate people by their walks, but the purpose to recognize abnormal steps in this study is to insure the safe life of pedestrians. There are situations in which pedestrians are unaware of themselves vulnerable and can not ask for help. The purpose of this research is that even if pedestrians are unaware of themselves and there are no spontaneous requests for helps, it is intended for them to escape from dangers and difficulties by adopting the recent IOT technology. Hence, this study analyzes normal pace of pedestrians using the triaxial acceleration sensors, and takes ranges of their normal walking. And then, the steps of pedestrians are measured using the triaxial acceleration sensors, contrasted with their normal walking ranges, and determine whether their steps are normal or not. When it is out of the state for normal paces, a method to determine as abnormal paces is suggested.

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.61-68
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• 2024

Despite the continuous efforts to mitigate pedestrian accidents at crosswalks, the problem persist. Vulnerable groups, including the elderly and disabled individuals are at a risk of being involved in traffic incidents. This paper proposes the implementation of object detection algorithm using the YOLO v5 model specifically for pedestrians using assistive devices like wheelchairs and crutches. For this research, data was collected and utilized through image crawling, Roboflow, and Mobility Aids datasets, which comprise of wheelchair users, crutch users, and pedestrians. Data augmentation techniques were applied to improve the model's generalization performance. Additionally, ensemble techniques were utilized to mitigate type 2 errors, resulting in 96% recall rate. This demonstrates that employing ensemble methods with a single YOLO model to target transportation-disadvantaged individuals can yield accurate detection performance without overlooking crucial objects.