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IPA를 이용한 스마트 교통안전 시스템의 만족도 분석 연구
홍기만,김종훈,김종훈,하정아,김광호 한국재난정보학회 2022 한국재난정보학회 논문집 Vol.18 No.4
Purpose: The purpose of this study is to derive improvements through user satisfaction analysis for the smart traffic safety system being applied to improve traffic safety. Method: A survey-based IPA analysis was used to derive system and service improvements for groups of drivers and pedestrians. Result: As a result of the analysis, both drivers and pedestrian groups showed that Quadrant 1(Keep up the Good Work) was 'Perception of risk information', and Quadrant 3(Low Priority) was 'Reliability of warning information'. On the other hand, 'AI display suitability', which was analyzed as Quadrant 1 (Keep up the Good Work) in the driver group, was found to be Quadrant 3(Low priority) in the pedestrian group. Conclusion: Satisfaction factors for smart pedestrian safety systems may vary depending on users, and it is judged that user-centered system construction and service provision are necessary. 연구목적: 본 연구는 교통안전 향상을 위해 적용중인 스마트 교통안전 시스템에 대하여 이용자의 만족도 분석을 통한 개선 사항을 도출하는데 목적이 있다. 연구방법: 설문조사 기반의 IPA 분석을 통해 운전자와 보행자 그룹의 시스템 및 서비스 개선 항목을 도출하였다. 연구결과: 분석 결과, 운전자와 보행자 그룹 모두 Quadrant 1(Keep up the Good Work)은 ‘위정정보 인지성’, Quadrant 3(Low priority)은 ‘주의정보의 정시성’으로 나타났다. 반면 운전자 그룹에서 Quadrant 1(Keep up the Good Work)로 분석된 ‘AI 디스플레이 적합성’이 보행자 그룹에서는 Quadrant 3(Low priority)으로 나타났다. 결론: 스마트 보행안전시스템은 이용자에 따라 만족 요인이 달라질 수 있으며, 이용자 중심의 시스템 구축 및 서비스 제공이 필요할 것으로 판단된다.
홍기만,하정아,김종훈,Hong, Kiman,Ha, Jungah,Kim, Jonghoon 한국재난정보학회 2021 한국재난정보학회 논문집 Vol.17 No.3
연구목적: 본 연구는 보행교통사고 사망사고 중 많은 비중을 차지하고 있는 무단횡단 보행자의 보행특성을 분석하는데 목적이 있다. 연구방법: 분석 방법은 영상장비를 이용하여 무단횡단 보행자의 자료를 수집한 후, 고령자와 비고령자의 무단횡단 특성에 대한 빈도분석과 통계적 검증을 수행하였다. 연구결과:고령자와 비고령자의 무단횡단 특성에 차이가 있는 것으로 나타났으나, 보행속도의 경우, 유의미하지 않는 결과가 도출되었다. 그러나 고령자 중 보행이 어려운 그룹은 그렇지 않은 그룹에 비해 보행속도가 낮은 것으로 나타났다. 결론: 무단횡단은 연령대 및 보행능력에 의한 문제가 아닌 불법행위에 대한 인지 및 사고 위험에 대한 안전불감증이 원인 중 하나로 안전 교육과 무단횡단 다발 구간에서 운전자의 주의를 요구하는 보행자 정보 제공이 필요할 것으로 판단된다. Purpose: The purpose of this study is to analyze the walking characteristics of jaywalking pedestrians, which account for a large proportion of deaths in pedestrian traffic accidents. Method: As for the analysis method, after collecting data of jaywalking pedestrians using imaging equipment, frequency analysis and statistical verification were performed on the jaywalking characteristics of elderly and non-elderly people. Result: It was found that there was a difference in the characteristics of jaywalking between the elderly and non-elders, but in the case of walking speed, insignificant results were derived. However, it was found that among the elderly, the group having difficulty walking in general had a lower walking speed than the group that did not. Conclusion: It is judged that one of the causes of jaywalking is the perception of illegal activities and insensitivity to the risk of accidents, not the age and walking ability. Therefore, in addition to safety education, it is judged that it is necessary to provide pedestrian safety information that requires the driver's attention in multiple jaywalking sections.
도로지체함수의 용량과 초기통행속도를 이용한 네트워크 정산 최적화 모형 개발 연구
홍기만,김태균,조중래,홍영석 한국도로학회 2021 한국도로학회논문집 Vol.23 No.1
PURPOSES : The purpose of this study is to build an optimization model using the capacity and initial travel speed of the volume delay functions for network calibration performed in the traffic demand analysis process. METHODS : The optimization model contains an error term between the observed traffic volume and estimated traffic volume, based on the user equilibrium principle, and was constructed as a bi-level model by applying range constraints on capacity and travel time. In addition, we searched the split section to apply the method of adjusting the section instead of adjusting the single link. The optimization model is constructed by applying the warm-start method using the bush of the origin-based model so that parameter adjustment and traffic assignment are repeatedly executed within the model and the convergence of the model configured %RSSE. RESULTS : As a result of analysis using the toy network, the optimization model is that the observed traffic volume is estimated when there are no restrictions and, when the constraint conditions were set, the error with the observed traffic volume and error rate was significantly reduced. As a result of the comparative analysis of the trial-and-error methods, KTDB optimum values, and optimization models in empirical analysis using a large-scale network, the evaluation indexes (e.g., RMSE and %RMSE) were significantly improved by applying the optimization model. CONCLUSIONS : Based on the empirical analysis, the optimization model of this study can be applied to large-scale networks and it is expected that the efficiency and reliability of road network calibration will be improved by repeatedly performing parameter adjustment and traffic assignment within the model.