• Journal of the Korea Safety Management & Science
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• v.7 no.1
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• pp.77-86
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• 2005

An investigation was conducted to evaluate both the time required and the time allowed for persons to cross streets. Currently, the local municipality uses a standardized formula to determine the time allotted for 'WALK' signals to function allowing pedestrian traffic to cross thoroughfares. The formula to determine the 'Theoretical Time(in seconds)' is the width of the street(in meter) divided by 1.2m/s. The basis of the denominator is 'normal' walking speed. Initially, 3 locations were chosen to evaluate the time between the appearance of the 'WALK' signal and the appearance of the 'DON'T WALK'. The interval between the two signals was assumed to allow a person to begin crossing the street at the appearance of the 'WALK' signal and terminate their crossing at the appearance of the 'DON'T WALK' signal. Of the 3 locations, 2 locations(elementary?middle schools and general hospital areas), the duration of the 'WALK' signal were not properly set and therefore need more time for those who use these cross walks. Specific details regarding the crossing locations and validity of the standardized formula were also presented and discussed.

• Journal of the Korean Institute of Telematics and Electronics
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• v.24 no.4
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• pp.603-609
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• 1987

In this paper, the single-row routing algorithm for munimizing the street congestion and reducing the between node congestion is deviced. To reduce the between node congestion, reference line crossing is defined and used. Reducing the number of total reference line crossing means reducing the total length which help reduce the power consumption of the integrated system and reducing the between node congestin which help reduce the wiring area. This algorithm has been implemented and tested with various example, then produced good results.

• Journal of the Korean Institute of Landscape Architecture
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• v.30 no.1
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• pp.52-60
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• 2002

This paper presents a streetscape design for "Dangiae-Gil"which is located at 126-1 Yangpyung-2dong, Yeongdeungpo-gu, Seoul and is about 500m in length and about 24m in width. The design goals are to make a green street on which people want to walk and people can walk and rest safely and pleasantly. To achieve these goals, concepts of environmentally-friendliness, placeness, safety, amenity, vitality, connectivity, and democracy are developed. For pedestrian safety, shared street concepts, such as crank, slalom etc. are adopted. The site is divided into 5 thematic spaces, such as "Village Entrance Space", "Culture Street", "Dangsan Park", "Nature Street", and "Ferry Space". The Village Entrance Space, which is an entrance of the Dangjae-Gil and a welcoming space, is for communicating information about the area. "Dangnamu"(zelkova tree) and signs are introduced here. The Culture Street is for experiencing past and present culture of the area. Colored tiles and plant boxes attached to benches are introduced. The Dangsan park is a sacred space where modem people can feel the sacredness of nature arid of being in a refuge. Dangjib, Dangnamu, multi-purpose plaza, athletic facilities, and playground for infants are introduced. The Nature Street is a space for feeling and teaming nature which has disappeared from the area leading to the river and a space for community participation. The elementary school walls were demolished and nature education spaces, such as butterfly and dragonfly garden, ecological pond, wildflower garden, etc., which are related to school education, are introduced. The Ferry Space is a space symbolizing a old ferry crossing and an entrance plaza to a bridge for "Sunyu-do\" . A boat-shaped deck, an elevator for handicap people, and parking space are introduced. In conclusion, sustainable management schemes for the site are suggested.sted.

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.11
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• pp.1017-1021
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• 2013

The traffic signal has been widely used in the transport system with a fixed time interval currently. This kind of setting time was determined based on experience for vehicles to generate a waiting time while allowing pedestrians crossing the street. However, this strict setting causes inefficient problems in terms of economic and safety crossing. In this research, we propose a monitoring algorithm to detect, track and check pedestrian crossing the crosswalk by the patterns of behavior. This monitoring system ensures the safety for pedestrian and keeps the traffic flow in efficient. In this algorithm, pedestrians are detected by using HOG feature which is robust to illumination changes in outdoor environment. According to a complex computation, the parallel process with the GPU as well as CPU is adopted for real-time processing. Therefore, pedestrians are tracked by the relationship of hue channel in image sequence according to the predefined pedestrian zone. Finally, the system checks the pedestrians' crossing on the crosswalk by its HOG based behavior patterns. In experiments, the parallel processing by both GPU and CPU was performed so that the result reaches 16 FPS (Frame Per Second). The accuracy of detection and tracking was 93.7% and 91.2%, respectively.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.5
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• pp.77-89
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• 2008

The bikes are conflicted with the cars and the pedestrian at the intersection and the road with the bike crossing. To establish the bike signal at this section is one method to solve this conflict. According to the survey for the bike road status and the biker's characters which are crossing the road at the intersection, the bike crossing are established with beside the pedestrian crossing and most of the bikers are crossing the street by the pedestrian signal. Also, the bike queue which is waiting the signal change at the stop line was cleared before the closing the pedestrian signal. Considering the result of this survey, TOUCAN crossing signal type in England for bike signal at the place where the bike crossing are established with beside the pedestrian crossing, in which bike rider and pedestrian can cross by the pedestrian signal operation, is suggested. However, at the place where the bike crossing is apart from the pedestrian crossing, the bike signal which is connected to the vehicle signal is suggested. All these types of bike signals can be accepted for the present bike crossing equipments and the biker's characters and be adapted to the police standard traffic signal controller by adjusting the signal time only without any function change.

• Journal of Korean Society of Transportation
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• v.22 no.7 s.78
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• pp.147-154
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• 2004

The purpose of this paper is to improve the existing phase split algorithm considering the minimum green time in COSMOS. In the case of a signalized intersection where two wide and narrow streets intersect each other, the time required for the pedestrian crossing is frequently longer than the time alloted to the through traffic on a minor street. In order to meet the minimum green time requirement for the pedestrian less time in alloted automatically to the left-turn traffic, creating heavy congestion on the left-turn approach. To solve this problem, this study suggests a new algorithm which shares the barrier using minimum green time and shares the burden with signal phases alloted to the crossing street traffic on the basis of the equal ratio of the degree of saturation, while maintaining the minimum green time requirement. The new algorithm was compared with the existing algorithm by using a microscopic simulation model for COSMOS evaluation developed at Ajou University. The simulation results show that the new algorithm produces better performance than the existing one.

• Journal of the Korean housing association
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• v.28 no.1
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• pp.1-8
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• 2017

Korea is experiencing unprecedented destruction of communities and crisis of mental health represented by top suicide rate among OECD countries. Its causes are manifold of various factors. One of them is lack of social support and broken communities that are closely related to social capital that is linked to other health indicators such as mortality rates. This studies looks for ways to improve social capital through spatial structure and features especially social capital related to neighborhood. Researchers conducted research literature review and observation on physical features of neighborhood streets and alleys. Review of studies show housing types can affect social capital level. High-rise apartments are related with lower neighborhood related social capital compared to single homes and low-rise multi-housing. Studies that mainly examined the physical features such as street layout showed that social encounters happened around local stores and crossings of small roads. Researchers identified actual streets that are more likely to be related with social activities in the neighborhood. Those streets were with physical elements that helped social exchange such as narrower streets, exposed stairs, street furniture of residents, parks, crossing of streets while other streets were with wider and easier access of cars.

• Journal of the HCI Society of Korea
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• v.14 no.2
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• pp.41-47
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• 2019

In this study, a smart assistive device is designed to recognize pedestrian signal and to provide audio instructions for visually impaired people in crossing streets safely. Walking alone is one of the biggest challenges to the visually impaired and it deteriorates their life quality. The proposed device has a camera attached on a pair of glasses which can detect traffic lights, recognize pedestrian signals in real-time using a machine learning algorithm on GPU board and provide audio instructions to the user. For the portability, the dimension of the device is designed to be compact and light but with sufficient battery life. The embedded processor of device is wired to the small camera which is attached on a pair of glasses. Also, on inner part of the leg of the glasses, a bone-conduction speaker is installed which can give audio instructions without blocking external sounds for safety reason. The performance of the proposed device was validated with experiments and it showed 87.0% recall and 100% precision for detecting pedestrian green light, and 94.4% recall and 97.1% precision for detecting pedestrian red light.

• Journal of Fashion Business
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• v.5 no.2
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• pp.87-104
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• 2001

The purpose of this study is to understand the distributions of fashion market and it's characteristics by investigating the attributes and changes of three representative fashion markets i. e. Chungjang Street Market, Underground Shopping arcades, Department Stores in Kwangju Metropolitan city. This study might contribute to the construction of more attractive fashion markets and also to consumer convenience by providing information about fashion. The method of investigation is by direct market visiting and interview from 2000. 7. 11 until 7. 30. The result is as follows; 1. Chungjang Street: This is the most famous and fashionable area, situated mainly on Chungjang street and Hwangkum-dong. The various kind of designer's boutiques, national brands, wedding shops, multi-shops etc. take place. Teenagers and people in their early twenties are the main customers. This point should be born in mind in a strategy of marketing. 2. Underground Shopping arcades: This market is open to customers of all ages and to the passengers crossing the streets and the purposeful visitors, even in rainy or snow days. However it is hard for novices to find it. 3. Department Stores: There are three department stores which are very competitive with each other by granting not only spacious and comfortable shopping areas but also places for children and cultural activities. The strategy of exhibiting unique items unparalleled in it's quality, might be needed with providing a comfortable parking lot, high quality commodes, appropriate sales program and more effective sales managements.

• International Journal of Computer Science & Network Security
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• v.24 no.5
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• pp.1-10
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• 2024

Individuals with visual impairments face numerous challenges in their daily lives, with navigating streets and public spaces being particularly daunting. The inability to identify safe crossing locations and assess the feasibility of crossing significantly restricts their mobility and independence. Globally, an estimated 285 million people suffer from visual impairment, with 39 million categorized as blind and 246 million as visually impaired, according to the World Health Organization. In Saudi Arabia alone, there are approximately 159 thousand blind individuals, as per unofficial statistics. The profound impact of visual impairments on daily activities underscores the urgent need for solutions to improve mobility and enhance safety. This study aims to address this pressing issue by leveraging computer vision and deep learning techniques to enhance object detection capabilities. Two models were trained to detect objects: one focused on street crossing obstacles, and the other aimed to search for objects. The first model was trained on a dataset comprising 5283 images of road obstacles and traffic signals, annotated to create a labeled dataset. Subsequently, it was trained using the YOLOv8 and YOLOv5 models, with YOLOv5 achieving a satisfactory accuracy of 84%. The second model was trained on the COCO dataset using YOLOv5, yielding an impressive accuracy of 94%. By improving object detection capabilities through advanced technology, this research seeks to empower individuals with visual impairments, enhancing their mobility, independence, and overall quality of life.