• Archives of design research
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• v.19 no.2 s.64
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• pp.81-90
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• 2006

Pedestrians perceive differently from the sideway views or the exteriors of the buildings on the way to their destinations. Therefore, the navigation experience can become much different when the path was chosen based on the individual's preference from it is not. By focusing on the effects of the individual pedestrian' path choice on their navigation, this paper presents an algorithm designed for pedestrians to be able to explore their preferred path and proposes a prototype of navigation system based on the algorithm. The navigation support system searches for the best path upon their individual preferences and information of the destination. The system provides the process of retrieving the final path via the pedestrian-support system interaction. The path retrieval is peformed with the combinational matrix of keywords that are formulates Fuzzy theory from the correlations between the terms describing preferences used in the path preference survey. This paper presents the potentials of the path finding method tailored to pedestrians' preferences by a simulation of the proposed path retrieval algorithm.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.3
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• pp.85-93
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• 2016

According to Traffic Accident Statistics, the fatalities of accident while crossing is over represented. So, more active safety countermeasure should be considered to reduce the frequency and degree of severity of pedestrian-crossing involved accidents. The study analyses the safety effects of the Crossing Safety Assistant System which is composed of Led-embedded crosswalk lightings, text displayer and audio waning device for the safety consciousness both pedestrian and vehicles at crosswalk area. Operating speed of vehicles is reduced with statistical significance, and the level of vigilance expressed by pedestrian head movement to check out the vehicle existence is improved.

• Journal of Korean Society of Transportation
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• v.23 no.3 s.81
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• pp.49-57
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• 2005

This study developed a methodology for estimating the fatality reduction by introducing technical regulation on pedestrian protection in pedestrian-vehicle collisions. Modeling a probabilistic pedestrian fatality model with logistic regression approach was one of keen interests, which employed in estimating the fatality reduction. Collision speed obtained from the accident reconstruction was used in the model development. The effects of fatality reduction, in case various Head Injury Criterion (HIC) and collision speeds are applied for the regulation. were presented as the major outcome of this study. It is expected that the outcome of this study would be an invaluable tool to assist in developing various technologies and policies for pedestrian protection.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.141-142
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• 2016

본 논문은 보행자의 이동경로 추적을 위해 PDR(Pedestrian Dead Reckoning) 알고리즘을 탑재한 임베디드 모듈과 연결 가능한 안드로이드 어플리케이션을 구현하였다. 임베디드 모듈은 IMU센서를 통해 얻은 값을 통해 보행자의 위치를 구하고 어플리케이션에 전송한다. 어플리케이션은 임베디드 모듈로부터 위치 값을 받아 스마트폰 화면에 실시간으로 사용자의 위치를 디스플레이 한다. 어플리케이션을 구현하여 필드 테스트를 진행한 결과 보행자의 이동경로를 비교적 정확하게 추적하였다.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.197-206
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• 2010

For an emotion retrieval system implementation to support pedestrian navigation, coordinating the pedestrian emotion model with the system user's emotion is considered a key component. This study proposes a new method for capturing the user's model that corresponds to the pedestrian emotion model and examines the validity of the method. In the first phase, a database comprising a set of interior images that represent hypothetical destinations was developed. In the second phase, 10 subjects were recruited and asked to evaluate on navigation and satisfaction toward each interior image in five rounds of navigation experiments. In the last phase, the subjects' feedback data was used for of the pedestrian emotion model, which is called ‘learning' in this study. After evaluations by the subjects, the learning effect was analyzed by the following aspects: recall ratio, precision ratio, retrieval ranking, and satisfaction. Findings of the analysis verify that all four aspects significantly were improved after the learning. This study demonstrates the effectiveness of the learning algorithm for the proposed pedestrian emotion model. Furthermore, this study demonstrates the potential of such pedestrian emotion model to be well applicable in the development of various mobile contents service systems dealing with visual images such as commercial interiors in the future.

• Journal of Korean Society of Transportation
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• v.24 no.2 s.88
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• pp.139-145
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• 2006

This paper develops pedestrian fatality models capable of producing the probability of pedestrian fatality in collision between vehicles and pedestrians. Probabilistic neural network (PNN) and binary logistic regression (BLR) ave employed in modeling pedestrian fatality pedestrian age, vehicle type, and collision speed obtained from reconstructing collected accidents are used as independent variables in fatality models. One of the nice features of this study is that an iterative sampling technique is used to construct various training and test datasets for the purpose of better performance comparison Statistical comparison considering the variation of model Performances is conducted. The results show that the PNN-based fatality model outperforms the BLR-based model. The models developed in this study that allow us to predict the pedestrian fatality would be useful tools for supporting the derivation of various safety Policies and technologies to enhance Pedestrian safety.

• Journal of Korean Society of Transportation
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• v.24 no.3 s.89
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• pp.95-102
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• 2006

This study develops a methodology on how to assess the traffic safety benefit of advanced vehicular technology for Protecting pedestrian in pedestrian-vehicle collision. Safety benefit is defined here as the reduction of Pedestrian fatality by employing advanced vehicular technology. As an application of the proposed methodology the safety benefit of active hood lift system (AHLS) is assessed. Both actual accident data analysis and simulation experiment are conducted to establish statistical models that are used for estimating the reduction of pedestrian fatality It is believed that the developed methodology and outcomes would be greatly useful in developing various advanced vehicular technologies and establishing more effective traffic safety policies.

• Electronics and Telecommunications Trends
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• v.31 no.5
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• pp.31-40
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• 2016

최근 전 세계적으로 5G 이동통신 표준화 및 연구개발이 시작되었다. 기존의 4세대까지의 이동통신은 주로 가정, 사무실 등 보행자 중심의 Nomadic 환경에 최적화된 형태이고 120km/h 이상의 고속환경에서는 통신접속이 끊어지지 않는 정도의 서비스에 한정되었다. 최근에는 스마트폰 중심의 모바일 데이터 서비스 사용량이 매년 가파른 증가세를 보이며 보행자 중심의 저속환경뿐만 아니라 지하철, 고속철 등 그룹이동체 내에서의 서비스도 점차 중요해지고 있다. 이동 중인 차량 내에서 일반 사용자들은 차량외부의 이동통신망을 통해 직접 서비스를 받을 수도 있고 이동무선백홀과 결합된 WLAN 혹은 펨토셀과 같은 차량내 이동 핫스팟 네트워크(MHN)형태로 서비스를 받을 수 있다. 최근 5G 이동통신에서는 고속환경(최대 500km/hr)에서도 최적의 서비스 품질을 유지하도록 요구하고 있다. 본 논문에서는 그룹이동체 내의 이동소형셀의 지원을 위한 이동무선백홀 기술의 동향을 분석하고 향후 수 Gbps급 이상의 데이터 전송속도를 지원할 수 있는 밀리미터파 기반의 MHN 이동무선백홀 기술을 소개한다.

• Archives of design research
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• v.20 no.3 s.71
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• pp.203-214
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• 2007

This study proposes an information retrieval method reflecting the user's preferences based on the fuzzy set theory to develop information contents which support pedestrian's navigation. Firstly, the research evaluated subjects' preferences on commercial spaces set to a hypothetical destination. Also it surveyed the causal relationship between the visual characteristics and the emotional characteristics to propose methods of Navigation Knowledge Base (NKB). The NKB was composed of three elements; 1. the correlation model between emotional characteristics, 2. the causal relationship between visual characteristics and emotional characteristics, 3. the transformation model between visual characteristics and the physical characteristics. Secondly, this study classified the pedestrian's destination search into 4 types with his or her preferences and the time conditions limited during navigation. For each type it presented the Destination Search Algorithm (DSA). Finally, the research simulated the destination search in 4 navigation types using NKB and DSA and verified the availability of the information retrieval method reflecting pedestrian's preferences. In conclusion, the proposed information search method will be applied to reflect the user's preferences to develop information appliances.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.396-404
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• 2011

Recently, the wide spread popularity of smart phones causes the advent of various mobile applications base on the location information. Since previous pedestrian navigations are applied by extending car navigations, these are not only difficult to provide the appropriate route information, but also raise limitations in the efficient query processing by data structures of car road networks. In addition, these increase the power consumption caused by the growth of I/O frequency. In this paper, we propose a pedestrian road network model for the accurate route information and a storage structure for the pedestrian road network based on POI to reduce the I/O frequency. The proposed method enables efficient route searches over POI reflecting the characteristics and requirements of pedestrian roads. Also, a reduction of query processing costs for the route searching by a data structure considered with POI can save the power consumption more than previous approaches.