• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.147-149
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• 2021

The trend of increasing traffic problems due to the explosion in traffic volume in Sejong City has reached a level that cannot be solved by investment in facility infrastructure, so it is essential to establish an intelligent traffic environment based on data. By benchmarking similar cases in the domestic and overseas, and analyzing the traffic information of Sejong City, we propose a plan to provide parking information using Intelligent CCTV, a smart traffic signal control system, and a safe drop zone. It is expected that this study will a basis for establishing policies of the Sejong City traffic safety strategy in the future.

• 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.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.06a
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• pp.135-137
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• 2011

VTS 시스템의 비약적인 발전에도 불구하고, 현재 물동량의 증가에 따른 선박 교통량 및 고위험군 선박의 증가로 인해 언제든지 사고의 내연성을 가지고 있다. 또한 입출항 항로에서의 어로행위나 무단횡단, 부두 신설로 인한 해상교통 여건의 어려움을 가지고 있는 것이 현실이다. 이런 상황에서 고위험군 선박 즉, 거대형선이나 대형 원유선, 구조물 운송 예부선의 해양 안전 사고 예방을 위해 특별관리체제(전담관제)를 구축함으로써 항로의 안전성 확보 및 충돌 예방을 위한 방안을 제시하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.677-678
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• 2020

본 연구는 자율주행 시대에 자동차의 외부통제를 가능하게 하는데 목적이 있다. 자율주행 자동차의 외부통제를 하기 위해 교통경찰 수신호를 사용한다. 교통이라는 특별한 상황을 고려하여 실시간 객체 검출이 가능한 YOLO모델을 사용하였고, 수신호 데이터 학습을 위해 Data Argumentation 기법을 사용하여 데이터를 확보한 후 이를 바탕으로 YOLO모델을 학습하였다. 학습된 YOLO모델을 이용하여 교통의 흐름에서 교통 통제자를 실시간으로 검출하였다. 이후 검출된 객체를 이용하여 객체 확인 알고리즘과 수신호 의미파악 알고리즘을 사용하여 수신호의 의미를 파악하고 이를 사용자에게 전달한다. 이와 같은 시스템을 통해 자율주행 자동차에 돌발 상황 발생 시 보다 정확하고 빠르게 교통의 흐름을 정상화 할 수 있는 장점이 있다.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.187-196
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• 2021

The mobility handicapped are representative socially vulnerable people who account for a high percentage of our society. Due to the recent development of technology, personalized welfare technologies for the socially vulnerable are being studied, but it is relatively insufficient compared to the general people. In this study, we intend to implement a personalized restaurant recommendation system for the mobility handicapped. To this end, a hybrid recommendation system was implemented by combining the data of special transportation boarding and alighting history (7,153 cases) and information of Daegu Food restaurants (955 cases). In order to evaluate the effectiveness of the implemented recommendation system, we conducted performance comparisons with existing recommendation systems by prediction error rate and recommendation coverage. As a result of the analysis, the performance was higher than that of the existing recommendation system, and the possibility of a personalized restaurant recommendation system for the mobility handicapped was confirmed. In addition, we also confirmed the correlation in which similar restaurants are recommended in some types of the mobility handicapped. As a result of this study, it is judged that it will contribute to the use of restaurants with high satisfaction for the mobility handicapped, and the limitations of the study are also presented.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.113-114
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• 2015

본 논문에서는 Beacon을 이용한 교통 요금 자동결제 시스템을 제안한다. 제안된 시스템은 특별한 행위 없이 사용자의 대중교통 이용 여부를 정확히 판단하여 자동으로 결제를 처리하기 때문에 편리하게 서비스를 이용할 수 있다. 특히, 승하차 시스템을 설계하기 위하여 필요한 알고리즘과 데이터 처리 과정을 제안하고 그 파급효과를 분석한다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.5D
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• pp.477-483
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• 2010

The existing mass transport system, with its limited capacity and the saturated road networks, has given cause for a new means of transport to be developed, and strong demands for such new means of transport are observed more than ever. However, the traffic authority is seeking a new transport system that focuses more on LRT(Light Rail Transit), a downsized version of the existing urban railroad, rather than one that is appropriate to solve the traffic problems. Moreover, local governments are experiencing difficulties in planning their own mass transportation(bus or urban railroad) as they have no specified criteria for selecting a mass transport system. Accordingly, there has been an increasingly loud voice that calls for criteria to determine which mass transport system befits each transportation corridor. This paper develops a mass-transport demand forecasting model based on the GIS Buffering analysis of each transportation corridor in the city, sets up the capacity for each mass transport system and presents the criteria for selecting an optimal mass transport system for each transportation corridor. It also presents a methodology that identifies necessary and sufficient conditions for selection and evaluation, since it is most important to select the optimal mass-transport system that can meet the demand by each mass-transportation corridor.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.6
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• pp.43-51
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• 2017

Since Korea joined the ranks of the developed countries, the interests in people with disabilities are rising. In particular, as disabled people become more active, to improve the transportation vulnerable's the right of movement have been required more strongly. Thus each municipality has been various efforts to do this. In this study we provide a understanding of each local government authority status which associated with operation of special transport systems, a call-taxi for transportation vulnerable and investigate the implementation status of mobility support system for traffic vulnerable which provided with automatic vehicle delivery. Also, with identification of automatic vehicle delivery problems the system, we design and implement a best-effort automatic vehicle delivery algorithm to improve these problems. Algorithm proposed in this study actually applied to commercial system of local governments to resolve the existing problems and to check to operate normally. The results are expected to provide to more exact and faster automatic vehicle delivery to transportation vulnerable and to improve the convenience of transportation vulnerable's movement.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.3
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• pp.131-146
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• 2023

Smart card data is widely used in the public transportation field. Despite the inevitability of various errors occur during the data collection and storage; however, smart card data errors have not been extensively studied. This paper investigates inherent errors in boarding and alighting station information in smart card data. A comparison smart card data and bus boarding and alighting survey data for the same time frame shows that boarding station names differ by 6.2% between the two data sets. This indicates that the error rate of smart card data is 6.2% in terms of boarding station information, given that bus boarding and alighting survey data can be considered as ground truth. This paper propose 6-step algorithm for correcting errors in smart card boarding station information, linking them to corresponding information in Bus Information System(BIS) Data. Comparing BIS data and bus boarding and alighting survey data for the same time frame reveals that boarding station names correspond by 98.3% between the two data sets, indicating that BIS data can be used as reliable reference for ground truth. To evaluate its performance, applying the 6-step algorithm proposed in this paper to smart card data set shows that the error rate of boarding station information is reduced from 6.2% to 1.0%, resulting in a 5.2%p improvement in the accuracy of smart card data. It is expected that the proposed algorithm will enhance the process of adjusting bus routes and making decisions related to public transportation infrastructure investments.

• Korean System Dynamics Review
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• v.10 no.4
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• pp.53-72
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• 2009

More than 24.43 million people received a special pardon to mark the anniversary of Liberation Day on Aug. 15 and to commemorate other national event, during 15years(1995-2009), in this period six times of presidential pardon was implemented. The special pardon allows traffic law violator to drive again with their violation records wiped clean. But traffic records show that traffic accidents used to increase very fast in a short period by up to 3-15 percent after implementing the every massive pardons. This study explores the causal feedback relationship between presidential special pardon for traffic law violators and the occurrence of an traffic accidents using a system thinking approach and simulation modelling. Particularly, this study focused on the analysing significant negative impact of the traffic pardon on the occurrence of worrisome traffic accidents. The results of this study show that presidential special pardon have had impact on the traffic accidents as a increasing leverage of positive feedback loop and the obedience of traffic law as a decreasing leverage of negative feedback loop. Finally, this study conclude that the cyclical increasing pattern of traffic accident is resulting from the periodically conducted presidential pardons with political aims.