• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.1
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• pp.71-78
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• 2021

Recently the meaning of the road name address is expended as an information through the revision of the Road Name Address Act. As this revision, the address of things (AoT) become more important indicating the possibility for the expansion to the related business. However, recent study about AoT does not concern how the current priority system works from the first research. In this study, we analyze perception about addressable object between AoT experts and public using AHP analysis. We structured the importance of addressable objects as two categories; urgency and value creation. The necessity in emergency or daily, accessibility and welfare conform the urgency index. Meanwhile, public value creation in public domain or profitability in the business area and economics conform value creation index. We conducted survey for total of 89 of experts and public. The results of this study indicate the relative importance of AoT measured by experts and public. Generally, public tend to concern more about accessibility conforming the urgency index than experts. Moreover, the public WiFi and the sports complex scored the high priority among the remain addressable objects, in respect of the urgency and the value creation. This result could be implemented for the activation of the smart city industry base on the geospatial information including AoT.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.8
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• pp.1026-1031
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• 2021

With the development of global automotive technology and the expansion of market size, demand for vehicles is increasing, which is leading to a decrease in the number of passengers on the road and an increase in the number of vehicles on the road. This causes traffic jams, and in order to solve these problems, the number of illegal vehicles continues to increase. Various technologies are being studied to crack down on these illegal activities. Previously developed systems use trigger equipment to recognize vehicles and photograph vehicles using infrared cameras to detect the number of passengers on board. In this paper, we propose a vehicle occupant detection system with deep learning model techniques without exploiting existing system-applied trigger equipment. The proposed technique proposes a system to detect vehicles by establishing triggers within images and to apply deep learning object recognition models to detect real-time boarding personnel.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.1
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• pp.45-56
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• 2022

Recently, bicycle sharing system is introduced and the usage of shared bicycles is increasing in Suwon city. Despite the need to expand the bicycle road infrastructure, this is not the case. Therefore, this research attempts to propose a method for bicycle lane installation in Suwon city. For this, this research conducted location analysis based on the shared bicycle usage data and trip inducing facility data. Using location analysis results, appropriate routes for bicycle lanes are selected. As a result, two routes are selected. These routes have advantages that it is easy to connect with the existing bicycle roads or traffic inducing facilities and to install using the existing bicycle roads. However, these routes also have disadvantage that traffic congestion may occur due to the occupancy of the existing road space. It is expected that this research may contribute to expansion and maintenance of bicycle lane infrastructure, the bicycle and PM sharing service usage, implementation of sustainable urban transportation systems in Suwon city.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.95-100
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• 2023

Due to Traffic accidents people faces health and economical casualties around the world. As the population increases vehicles on road increase which leads to congestion in cities. Congestion can lead to increasing accident risks due to the expansion in transportation systems. Modern cities are adopting various technologies to minimize traffic accidents by predicting mathematically. Traffic accidents cause economical casualties and potential death. Therefore, to ensure people's safety, the concept of the smart city makes sense. In a smart city, traffic accident factors like road condition, light condition, weather condition etcetera are important to consider to predict traffic accident severity. Several machine learning models can significantly be employed to determine and predict traffic accident severity. This research paper illustrated the performance of a hybridized neural network and compared it with other machine learning models in order to measure the accuracy of predicting traffic accident severity. Dataset of city Leeds, UK is being used to train and test the model. Then the results are being compared with each other. Particle Swarm optimization with artificial neural network (PSO-ANN) gave promising results compared to other machine learning models like Random Forest, Naïve Bayes, Nearest Centroid, K Nearest Neighbor Classification. PSO- ANN model can be adopted in the transportation system to counter traffic accident issues. The nearest centroid model gave the lowest accuracy score whereas PSO-ANN gave the highest accuracy score. All the test results and findings obtained in our study can provide valuable information on reducing traffic accidents.

• The Journal of Bigdata
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• v.8 no.2
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• pp.45-54
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• 2023

Seoul's public bicycle system, 'Ttareungyi,' introduced in 2015, has achieved an annual ridership of 40 million in 2022. Similarly, electric scooters, a type of personal mobility device, surpassed one million riders in 2020 due to various sharing platforms. However, the major roadways for these new transportation, bicycle lanes, are notably insufficient compared to other forms of transport. Hence, this study proposes an optimal location selection method for bicycle lanes in Seoul to prevent accidents and enhance bicycle ride safety. The location selection process prioritizes road safety concerning bicycle accident risk. Using regression models, high-risk areas for bicycle accidents are identified. Cluster analysis categorizes these areas into six clusters, each suggesting suitable types of bicycle lanes based on cluster-specific characteristics. We hope that this study will contribute to the improvement of Seoul's transportation environment, including the expansion of dedicated bicycle lanes and lanes for personal mobility devices.

• International Journal of Highway Engineering
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• v.14 no.3
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• pp.1-7
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• 2012

The purpose of this study was to review application of ASTM C 1260 for cement matrix with flyash and lithium nitrate using reactive aggregate. The experimental program included the accelerated mortar bar test (AMBT: ASTM C 1260) for the slate which was evaluated as reactive aggregate by ASTM C 1260 at the previous study. The cement, which was substituted by 10, 20, 30% flyash containing less than 10% CaO, could control ASR expansion. From the experiment applying lithium nitrate to control ASR, the mortar bar containing lithium nitrate showed more than 0.1% expansion at 14 days. This is probably due to dissolution of lithium nitrate in NaOH solution during test periods. Thus, it is necessary to adopt another test method to verify the control effect of lithium nitrate against alkali-silica reaction.

• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.1-11
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• 2021

NC Soft will continue to dream of an entertainment innovation world where customers are connected through game and contents. NC Soft images an expansion in entertainment industry which open doors to the future of enjoy break through innovative online game and creative AI & IT technologies, focused on new business opportunities that are solely NC's own. This study starts with the implication on why focusing on exploration innovation and exploitation strategy at the same time in NC Soft is so challenging. NC Soft manages to their online & mobile gaming competencies in the long term and achieves their sustainable growth by incremental innovation (e.g. game planning, game programming, and graphic design). Also, for innovative success, pursuing exploration strategy is essential. NC Soft have built a strategic alliance spanning K-POP, digital contents platform, movie, and animation, sharing the connectivity of entertainment domains with major contents corporations. The findings of this study would also beneficial to entertainment and contents corporation executives and could provide some road-map on managing the dual challenges of exploration and exploitation implementations.

• Journal of Korean Tunnelling and Underground Space Association
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• v.12 no.4
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• pp.321-328
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• 2010

The study performed an actual fire experiment in order to propose the heat release rate of automobile that is the most basic architectural element for the fire safety design in a tunnel, whose importance has been recognized as the underground traffic tunnels are planned in Korean metropolitan cities. The heat release rate of a van is measured by the large scale calorimeter, in which the law of oxygen consumption is applied, and the fire expansion characteristics in a tunnel by placing two passenger cars nearby one another in the tunnel. As the results, the heat release rate of the van was revealed to be 5.9 MW, and carbon monoxide was emitted 482 ppm at a maximum. In case of two passenger car experiment for the fire expansion characteristics, the adjacent car was ignited about 3 minutes 30 seconds after the fire occurrence, and the complete fire was developed after 15 minutes. The maximum heat release was 9 MW. The results from the actual fire experiment can be an important input data for future quantitative analysis as well as an element applicable to a tunnel disaster preventive equipment design.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.1
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• pp.1-14
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• 2014

The expansion of the physical road in response to changes in social conditions and policy of the country has reached the limit. In order to alleviate congestion on the existing road to reconsider the effectiveness of this method should be asking. Currently, how to collect traffic information for management of the intersection is limited to point detection systems. Intelligent Transport Systems (ITS) was the traffic information collection system of point detection method such as through video and loop detector in the past. However, intelligent transportation systems of the next generation(C-ITS) has evolved rapidly in real time interval detection system of collecting various systems between the pedestrian, road, and car. Therefore, this study is designed to evaluate the development of an algorithm for queue length based real-time traffic signal control methodology. Four coordinates estimate on time-space diagram using the travel time each individual vehicle collected via the interval detector. Using the coordinate value estimated during the cycle for estimating the velocity of the shock wave the queue is created. Using the queue length is estimated, and determine the signal timing the total queue length is minimized at intersection. Therefore, in this study, it was confirmed that the calculation of the signal timing of the intersection queue is minimized.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.11
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• pp.5964-5970
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• 2013

The recent budget planning for highway infrastructure implied that the investments for Operation & Maintenance(O&M) became greater than that for new construction. This circumstance made many stakeholders pay attention to the O&M of road infrastructure and adopt other countries' policies and system for effective management. In other countries, most O&M for road infrastructure have been done by private entities using long-term contract and Korea is about to shift from one year contract to long-term contract. The most important parts for the expansion of the long-term O&M contract for road infrastructure are valuation of the O&M contract based on accurate prediction of O&M costs and instrument for proper risk sharing between contracting parties. Thus, this study provides a methodology to estimate a reasonable O&M contract price and a framework to share contract risk between contracting parties using real option. The analysis results showed that the contract price and ceiling and floor conditions for the 20 year-contract of 20 km-highway project were 45.7, 60 and 42.3 billion won, respectively.