• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.764-765
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• 2016

This paper presents a method of effective smart streetlight I the express way. The proposed method support the driver's safety system which informed the before ahead accident besides basic lighting function. Also, the proposed system will be able to apply to the ITS(Intelligent Traffic System) for the future.

• Journal of the Society of Disaster Information
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• v.18 no.4
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• pp.754-768
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• 2022

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.

• Journal of Korea Multimedia Society
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• v.23 no.12
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• pp.1507-1518
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• 2020

Recently, as the proportion of the elderly population in Korea has increased rapidly, it has entered an aging society. As the scope of social activities of the elderly increases, the risk of safety accidents is also increasing. The traffic accident rate of elderly pedestrians is higher than ordinary people. Although various smart devices for the elderly are researched and developed, electronic components are often used. Electronic devices may not be able to be used if charging is not regularly. In this paper, a smart hat, a smart system for the elderly and the weak, was implemented using solar panels. The system uses solar energy to provide reliable use of smart devices. It is believed to be helpful not only for the elderly but also for the weak people by easy to wear the hat.

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.51-59
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• 2024

In this paper, we propose a novel traffic safety system designed to reduce pedestrian traffic accidents and enhance safety on university campuses. The system involves real-time detection of vehicle speeds in designated areas and the interaction between vehicles and pedestrians at crosswalks. Utilizing the YOLOv5s model and Deep SORT method, the system performs speed measurement and object tracking within specified zones. Second, a condition-based output system is developed for crosswalk areas using the YOLOv5s object detection model to differentiate between pedestrians and vehicles. The functionality of the system was validated in real-time operation. Our system is cost-effective, allowing installation using ordinary smartphones or surveillance cameras. It is anticipated that the system, applicable not only on university campuses but also in similar problem areas, will serve as a solution to enhance safety for both vehicles and pedestrians.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.6
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• pp.642-648
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• 2019

Vessels sail according to the COLREG to prevent a collision. However, it is difficult to apply COLREG under special situation as heavy traffic, at this time personal skills of the operator are required. In this case, traffic control is required through the maritime traffic monitoring system. Therefore, maritime traffic management is globally implemented by VTS. In this system, VTS of icer uses the VTS system to assess risks and recommends possible safety operation to vessels with radio systems. This study considers that the risk analysis method with AI (Artificial Intelligence) technology from the operator's aspect. In addition, the research explains the Maritime Traffic Safety Monitoring System, Including AR (Augmented Reality) technology to increase vessel control efficiency. This system is able to predict hazards and risk priorities, and it leads to sequential elimination of dangerous situations. Especially, the hazard situations can be analyzed from operator's perspective of each vessel instead of the VTS officer's aspect, which is more practical than the conventional method. Furthermore, the result of analysis enables to comprehend quantitative hazardous areas and support recommended routes to avoid a collision. As a result, I firmly believe that the system will support to prevent a collision in complex traffic waters. In particular, it could be adopted as a collision prevention system for Maritime Autonomous Surface Ship, which occupies a significant proportion in Maritime 4th industrial revolution.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.1
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• pp.1-15
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• 2022

In order to trust and use autonomous vehicles, safe driving on the road must be guaranteed. For this, the first infrastructure to be equipped with autonomous driving is traffic safety facility. On the other hand, autonomous vehicles(Level 3) and general vehicles are driving on the road, it is necessary to additionally manage existing general traffic safety facilities. In this study, a field management system for traffic safety facilities based on autonomous driving infrastructure was studied, and a pilot field management system was implemented in the demonstration area(Pangyo). The pilot system consists of a GNSS(Global Navigation Satellite System) receiver, a field management equipment, and a field management app. As a result of field demonstration,, it was confirmed that traffic safety facility information was easily transmitted and received even in downtown areas and that could be efficiently operated and managed. It is expected that the results of this study will be used as reference materials for the spread of autonomous driving infrastructure to local governments and infrastructure construction in the future.

• Journal of Industrial Convergence
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• v.20 no.8
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• pp.69-75
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• 2022

In order to prevent traffic accidents for children who are vulnerable to traffic around elementary schools, a school zone in the children's protection zone is designated, and parking and stopping are prohibited in this area as the vehicle speed is less than 30km/h. However, Korea has a disgrace that the death rate of children from traffic accidents is the No. 1 among OECD countries. Against this backdrop, this study aims to contribute to preventing traffic accidents and raising awareness of driver safety by establishing an illegal parking and stopping system in the child protection zone due to various road conditions in the child protection zone. As a research method, a plan to build a parking and stopping prevention system was presented based on major preceding studies and literature investigation and analysis. Through the construction plan, effects such as preventing traffic accidents, inducing smart drivers to drive safely, strengthening pedestrian safety awareness, and inducing driver's awareness of safety can be expected.

• 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.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.259-264
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• 2014

Digital convergence means a service or new product which appeared through fusion of unit technologies in information and communication regions. In 2011, The Government introduced "IT Convergence Technology Prediction Survey 2025". Smart mobility is a main factor in smart city which is main example of convergence. A intelligent transport system(ITS) is a key factor of smart mobility. The conventional transport systems include road, car, signal systems. But the ITS is a transport system containing additional technologies such as electronics, control, communication to increase traffic safety and effectiveness of traffic facilities. In this paper, we described intelligent transport system related with our life.

• Journal of the Institute of Convergence Signal Processing
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• v.12 no.2
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• pp.150-156
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• 2011

Smart Highway is a next generation highway that significantly improves a traffic safety, reduces incidence of traffic accidents, and supports intelligent and convenient driving environments so that drivers can drive at high speeds in safety. In order to implement smart highway, it is required to gather a large amount of data including conditions of a road and the status of vehicles, and other useful data. To provide situation information of highway, it has been gathered traffic information using optical sensors(CCTV, etc.). However, this technique has problems such as the problem of information gathering, lack of accuracy depending on weather conditions and limitation of maintenance. It needs radar system which has not effect on environmental change and algorithm processing technique in order to provide information for a safety driving to driver and car. In this paper, it is used radar with 9.4GHz to test performance of a road surface and developed radar system for detecting test. And we compared and analyzed a performance of data acquired from each radar through computer simulation.