• Journal of the Korea Safety Management & Science
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• v.17 no.1
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• pp.33-43
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• 2015

Modern systems development becomes more and more complicated due to the need on the ever-increasing capability of the systems. In addition to the complexity issue, safety concern is also increasing since the malfunctions of the systems under development may result in the accidents in both the test and evaluation phase and the operation phase. Light rail transit(LRT) with passenger capacity between bus and subway is driven by an unmanned control, so safety issues of LRT in emergency shall be considered more carefully than other rolling stock. Modern railway system is a complex system and many actions in emergency are required. In this view, interoperability approach is effective to identify the related elements in emergency. In this paper, we propose the method to generate the fire response scenario of unmann ed LRT based on the outputs of systems engineering architecture design methodology. The proposed method is could be contributed to establish more reliable and applicable fire response scenario.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.05a
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• pp.244-245
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• 2019

Recently, a variety of window cleaning devices have been developed. There are, however, few cases of anticipated problems and countermeasures that may arise after these devices are installed. Therefore, in this study, the emergency condition was derived and the emergency scenario was derived for the rail-mounted cleaning device. Emergency scenarios and countermeasures derived from this study will be used for continuous improvement and supplementation of cleaning devices through prototyping and testing.

• Journal of Auto-vehicle Safety Association
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• v.11 no.1
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• pp.7-16
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• 2019

There are trying to reduce damage from automobile accident in many countries. In many automobile companies, there have been active study on development of ADAS (Advanced Driver Assistance Systems) for commercialization, in order to reduce damage from automobile accident. ADAS is the system providing convenience and safeness for drivers. Generally, ADAS is composed of ACC (Adaptive Cruise Control), LKAS (Lane Keeping Assist System), and AEB (Autonomous Emergency Braking). AEB of the ADAS, it is an autonomous emergency braking system and it senses potential collide and avoids or degrades it. Therefore AEB plays a significant role in reducing automobile accident rate. However, AEB safety evaluation method is not established not yet. For this reason, this study suggests safety evaluation scenarios with adding cut-in, sensor malfunctioning scenario that scenario domestic street conditions considered as well as original standard AEB scenario of Euro NCAP for establishment of safety evaluation method of AEB. And verifying validity of suggested scenario by comparing the calculated values of the theoretical formulas presented in the previous study with results of the actual vehicle test.

• Journal of Drive and Control
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• v.19 no.4
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• pp.110-116
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• 2022

Recently, various studies have been conducted to apply deep learning and AI to various fields of autonomous driving, such as recognition, sensor processing, decision-making, and control. This paper proposes a controller applicable to path following, static obstacle avoidance, and pedestrian avoidance situations by utilizing reinforcement learning in autonomous vehicles. For repetitive driving simulation, a reinforcement learning environment was constructed using virtual environments. After learning path following scenarios, we compared control performance with Pure-Pursuit controllers and Stanley controllers, which are widely used due to their good performance and simplicity. Based on the test case of the KNCAP test and assessment protocol, autonomous emergency steering scenarios and autonomous emergency braking scenarios were created and used for learning. Experimental results from zero collisions demonstrated that the reinforcement learning controller was successful in the stationary obstacle avoidance scenario and pedestrian collision scenario under a given condition.

• Journal of Korea Multimedia Society
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• v.11 no.3
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• pp.301-314
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• 2008

The existing event recognition is accomplished with the limited systematic foundation, and thus much longer learning time is needed for emergency scenario interpretation due to large scale of probability data. In this paper, we propose a method for nile-based event recognition of an independent object(human) which extract a feature vectors from the object and analyze the behavior pattern of each object and interpretation of emergency scenarios using a probability and object's events. The event rule of an independent object is composed of the Primary-event, Move-event, Interaction-event, and 'FALL DOWN' event and is defined through feature vectors of the object and the segmented motion orientated vector (SMOV) in which the dynamic Bayesian network is applied. The emergency scenario is analyzed using current state of an event and its post probability. In this paper, we define diversified events compared to that of pre-existing method and thus make it easy to expand by increasing independence of each events. Accordingly, semantics information, which is impossible to be gained through an.

• Proceedings of the KSR Conference
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• 2006.11b
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• pp.1165-1171
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• 2006

The purpose of this study is to implement an emergency response procedure based on the scenario of the field of vehicles and provide more rapid and exact response program needed when train accidents happen. Therefore, we have made worst case combinations of accidents and prioritized the combinations. A number of accidents have been analyzed according to the type of, the people affected by, and the location of accident. Both horizontal and vertical response system have also been defined. Furthermore, Activity-Action Diagram has been applied to the emergency response scenario and action procedure of each group has been clearly systematized. Consequently, this paper provides a specific response system useful when train accidents happen.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.1389-1396
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• 2011

There can be several states of emergency when the train is in operation. In this paper we consider passengers how to escape from emergency states and what facilities they can use by each situation. In general, passengers can escape from a train by manual door openning, emergency ramp and breaking window. Now, we consider which facility is proper to each scenario.

• Journal of Convergence for Information Technology
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• v.11 no.12
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• pp.244-253
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• 2021

This study examined how the fire evacuation induction service system using a smartphone navigation application in the event of a fire affects the fire evacuation time, and the following conclusions were drawn. 1. The evacuation time was reduced by 22 seconds when the navigation application was used in computer scenario simulation. Even in the demonstration simulation, the evacuation time was reduced by 40 seconds when the navigation application was used. This indicates that the navigation application is effective in shortening the evacuation time in case of fire. 2. As a result of the demonstration scenario simulation, the time until the end of evacuation was 39 seconds faster in the case of evacuation guidance than in the case where it was not conducted. 3. No bottlenecks occurred in the evacuation route during the demonstration scenario simulation. As a result, there was a difference in the time required to complete the evacuation between the computer scenario simulation and the demonstration scenario simulation.

• Proceedings of the KSR Conference
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• 2007.05a
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• pp.543-550
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• 2007

This study is for an effective response as the pre-stage for railway agencies to prepare the rail road kind based emergency response standard operation procedures when the emergency event occurs. Accordingly, I would like to increase the utility in helping the railroad employees to make their decisions. And that is possible through suggesting them to make computerized Emergency situation based activity and Emergency response that is individual based. And of course all of this procedure would be based on the emergency event categorized response scenario.

• Korean Journal of Construction Engineering and Management
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• v.17 no.3
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• pp.43-51
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• 2016

Recently, the cost of construction projects has escalated due to a significant increase in size and complexity. Many construction projects have failed to meet their originally intended project deadline due to various factors such as weather, labor supply, equipment, procurement, accidents, etc. Consequently, emergency construction work scenario has to be implemented in order to shorten the duration and satisfy the original estimated schedule. However, many critical decisions in emergency scenario rely solely on the experience of a construction manager. Thus, this paper proposes TCTO optimization model to decide the most effective alternative out of various working scenarios which are generated by the combination of work group and work time. The developed TCTO model provides the optimum schedule that satisfies the practical constraints. Future research could involve the integration of resource leveling with the proposed model. This would make the model more versatile.