• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.6
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• pp.1-14
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• 2011

The surrogate safety assessment model which was developed based on the conflict theory by FHWA in the US is software to analyze traffic conflicts using the individual vehicle trajectory data from a microscopic traffic simulation model. This study aims at assessing the safety of different signal control strategies, including pre-time and actuated signal control, using the SSAM. To this end, this study effort has developed a microscopic traffic simulation model using VISSIM through a field study, and then produced the surrogate measures, including TTC, PET, DR, MaxS and DeltaS, and the numbers of conflicts, including rear-end, right angle and lane-changing conflicts. The assessment results indicated that the actuated signal control may produce more conflicts in terms of rear-end conflicts. The use of SSAM in the safety assessments for diverse traffic alternatives in a safe and fast way may contribute to the improvement of safety in the roadway transportation.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.2
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• pp.68-79
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• 2014

This paper analyzes the characteristics of trip chaining activities of elderly and explores temporal and spatial distribution. The research also estimates ordered probit model and binary logistic model to investigate various factors affecting trip chaining and mode choice patterns. We utilized household survey data for elderly conducted in 2006 and 2010 in Seoul metropolitan area. Research results indicate that trip chaining showed an increasing trend and simple trip chaining counts for more than 85%. GIS mapping expressed spatial distribution of trip departure and arrival areas, particularly showing regional changes in job-related trips. We also found that more factors influence trip chaining in 2010, compared with 2006, and travel cost is more sensitive than travel time in determining travel mode. The research contributes to establish transportation policies based on travel behavior of elderly in a upcoming super-aged society.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.2
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• pp.57-67
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• 2014

In the last decade, various situations were simulated through virtual environment due to rapid improvement of computer capability and technology. Transportation engineering also has adopted the virtual environment facility in order to identify drivers behaviour under various circumstances. This study aims to evaluate driver reactions to the introduction of new ITS interventions at railway crossings (RLX) in driving simulator. Three ITS safety devices were used to figure out how drivers reacted to them. In addition, a survey was conducted to find participants' work load and acceptance of the technology. The ultimate purpose of this paper is to evaluate ITS safety devices in various aspects. Each participant made 3 runs (2 baselines, 1 ITS randomly) for approximately 20 minutes each. The participants answered that current railway crossings did not look safe prior to experiment. They responded that the use of ITS technologies were easy and the technologies were more effective on passive railway crossings.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.6
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• pp.169-181
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• 2017

As vehicle supply rate increases, traffic jam-related problems emerge and sharing transportation including carpool, centered on the advanced countries, becomes a major interest. This study aims to analyze benefit generated by carpool during the rush hours of medium and long distance travel, focused on the workers of public Agencies relocated to innovation cities. In order to compute benefit, carpool demand of relocated public Agencies was estimated and travel speed was estimated according to reduced traffic volume through carpool adoption using a traffic flow model. The benefit were computed dividing them into direct benefit and indirect benefit. As a result, 23billion KRW and 56.5billion KRW were annually revealed to be generated in terms of direct benefit and indirect benefit. The study result is expected to be used as part of basic research to adopt carpool for future traffic demand management.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.2
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• pp.209-214
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• 2018

The subway, which is an urban railway, is the core of public transportation. Urban railways are always exposed to serious problems such as theft, crime and terrorism, as many passengers use them. Especially, due to the nature of urban railway environment, the scope of surveillance is widely dispersed and the range of surveillance target is rapidly increasing. Therefore, it is difficult to perform comprehensive management by passive surveillance like existing CCTV. In this paper, we propose the implementation, design method and object recognition algorithm for intelligent object recognition system in urban railway. The object recognition system that we propose is to analyze the camera images in the history and to recognize the situations where there are objects in the landing area and the waiting area that are not moving for more than a certain time. The proposed algorithm proved its effectiveness by showing detection rate of 100% for Selected area detection, 82% for detection in neglected object, and 94% for motionless object detection, compared with 84.62% object recognition rate using existing Kalman filter.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.454-456
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• 2010

The demands for (a) individual vehicle has been gradually increasing recently due to increase of personal income and spare time. In 2009, the quantities of registered vehicles exceeds over 17,325,210 millions pieces, and the risks of traffic accidents and traffic jam are increasing days by days. It has some limitations to solve the problem of traffic jam by transportation facilities and causes lots of time and costs. For a possible solution, ITS(Intelligent Transport System) has been introduced, but it is an insufficient way for abrupt incidents or risks on roads. The riskiest matter on driving a vehicle is unforeseen situation. In this paper, the most efficient and economical system that communicates with a driver about unexpected accident by sensor network and GPS information, is introduced rather than a traditional method associated with lots of time and costs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.6368-6375
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• 2015

The goal of this research is to identify the energy planning techniques of Smart Green City and to establish the realized plan through the analysis of Multi-functional Administrative City. For the research, eighteen planning techniques were derived and categorized into three sectors and six basic direction through literature review and Brain-storming analysis considering correlation between three goals of Smart Green City and expectation of planning technique. And Multi-functional Administrative City was analyzed for the current status of application of planning techniques focus on two application aspects. In conclusion, 'Establishing Integrated Management Center for Urban Energy', 'Building Energy Management System', 'Building Automation System', 'Green Transport System', 'Intelligent Transport System', 'Introduction of Eco-friendly Transportation' planning techniques in reduction of building energy consumption sector and green-intelligent transport system sector were identified as important techniques for Smart Green City.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.5135-5142
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• 2011

A flexible mechanism is proposed in this paper to improve the dynamic response performance of a traffic flow control system in an urban area. The roads, vehicles, and traffic control systems are all modeled as intelligent systems, wherein a wireless communication network is used as the medium of communication between the vehicles and the roads. The necessary sensor networks are installed in the roads and on the roadside upon which reinforcement learning is adopted as the core algorithm for this mechanism. A traffic policy can be planned online according to the updated situations on the roads, based on all the information from the vehicles and the roads. This improves the flexibility of traffic flow and offers a much more efficient use of the roads over a traditional traffic control system. The optimum intersection signals can be learned automatically online. An intersection control system is studied as an example of the mechanism using Q-learning based algorithm, and simulation results showed that the proposed mechanism can improve the traffic efficiency and the waiting time at the signal light by more than 30% in various conditions compare to the traditional signaling system.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.5
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• pp.170-179
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• 2008

The disabled and elderly people have a wide variety of functional impairments. By disability and elderly user group definition identification of users needs and specification of emergency support system were studied. Existing technologies including location navigation and information exchange devise and communication systems were analyzed to design proper integrated system for emergency situations. There are two types of services considered in the project: assisted living services(ALS) including health and emergency needs and assisted mobility services(AMS) with transportation needs. To develop emergency support system, functional identification and requirements was studied through the analysis of existing emergency system and organization. The 4-step emergency management scheme was developed to preactive emergency service which include emergency detection identification, response and follow-up steps.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.6
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• pp.60-69
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• 2012

Public Transport Information Service which use smartphone Apps has received attention as the way of solution that reduced transport problem. Smartphone can offer real-time information because of a LBS(Location Based Service) system. This study try to find out which factor affect mode choice ratio of public transport, especially smartphone Apps. The result shows that rising oil price, traffic congestion, public information service with smartphone apps, BIS(Bus Information System) factors get 0.39, 0.27, 0.18, 0.16 scores with paired comparison. Younger and student respondents prefer smart phone public information service. Decision Tree shows that the most important decision factor is smartphone information service factor.