교통개방을 위한 에폭시 아스팔트 콘크리트의 강도 예측모델 개발

백유진(Baek, Yu Jin),조신행(Jo, Shin Haeng),박창우(Park, Chang Woo),김낙석(Kim, Nakseok) 대한토목학회 2012 대한토목학회논문집 D Vol.32 No.6D

교통개방시점의 예측은 공사 계획을 위해 중요하며 이를 위해 에폭시 아스팔트 혼합물의 양생에 따른 강도를 예측하는 것이 필요하다. 본 연구에서는 에폭시 아스팔트 혼합물의 양생온도와 시간에 따른 마샬안정도를 측정하고 이를 이용해 강도 발현식을 구하였으며, 변화하는 온도와 강도에 따른 반응속도를 반영할 수 있도록 화학적 반응속도론을 이용하여 에폭시 아스팔트 강도 예측모델을 개발하였다. 예측모델을 사용하여 에폭시 아스팔트 포장이 적용된 국내 교량에 대해 교통개방시기를 예측하였다. 2009년~2011년의 기상조건에 따라 가정된 포장체 온도를 사용한 예측결과는 실제 교통개방일과 17일의 차이가 발생했으나 이는 2012년의 실제 기상상태와의 차이 때문이다. 실제 측정된 포장 온도를 예측모델에 대입할 경우 2일의 교통개방가능일 차이가 있었으며, 상관관계 분석 결과 R²가 0.95로 실제 강도값과 매우 유사한 결과를 얻을 수 있었다. 기상 상태와 포장체의 온도에 대한 충분한 데이터를 확보한다면 에폭시 아스팔트 강도 예측모델을 사용하여 상당히 신뢰도 있는 교통개방 가능 시기의 예측이 가능한 것으로 나타났다. It is important to decide traffic opening time for construction plan of epoxy asphalt pavement. For this purpose, strength prediction model of epoxy asphalt concrete is required. In this study, Marshall stability was measured according to temperature and time for making strength properties equation. Strength prediction model was developed using chemical kinetics considering temperature variation. The traffic opening time of epoxy asphalt pavement on bridge deck has been predicted using the developed model. The prediction and actual traffic opening times were different by 17-days, because weathers of year 2009-2011 used in prediction model were different from weather of year 2012. When the prediction model used the actually measured temperatures of pavement, the difference between real opening time and prediction opening time was two days. The correlation analysis result between measured strength and prediction strength revealed that the R² using accurate temperature of pavement was 0.95. An improved precise prediction result is to be obtained if the prediction model uses accurate temperature data of pavement.

스마트폰 기반 실시간 교통정보를 반영한버스의 목적지 도착 시간 예측 시스템 개발

왕종수,김대영 (사)디지털산업정보학회 2013 디지털산업정보학회논문지 Vol.9 No.4

While there are many services that can check current traffic condition and application program such as bus arrival alarm are developed, since it only provide simple alarm and check level of information, it is still insufficient in many senses. Therefore, the program that try to develop in this study is the system that predict arrival time to destination and inform the bus passengers by applying real time traffic information. The system developed related to this study is still very inadequate. In the system developed in this thesis, when the user input the current bus number and destination using smart-phone, relevant server acquire the bus route information from bus information DB, and analyze real time traffic information based on the information from traffic information DB, and inform customer of expected arrival time to destination. In this thesis, traffic congestion can be eased off and regular operation of public transportation can be improved with reliable destination arrival alarm. Also, it is considered that pattern of bus users can be analyzed by using these information,and analyzing average transport speed and time of public transportation, travel time depending on various situation can give a boost to study related to transportation information and its development.

CONTROLLING TRAFFIC LIGHTS AT A BOTTLENECK: THE OBJECTIVE FUNCTION AND ITS PROPERTIES

Grycho, E.,Moeschlin, O. Korean Mathematical Society 1998 대한수학회지 Vol.35 No.3

Controlling traffic lights at a bottleneck, in [5] a time of open passage is called optimal, if it minimizes the first moment of the asymptotic distribution of the queue length. The discussion of the first moment as function of the time of open passage is based on an analysis of the behavior of a fixed point when varying control parameters and delivers theoretical and computational aspects of the traffic problem.

비선형 커브피팅을 이용한 에폭시 아스팔트 포장의 교통개방 예측 모델 개발

조신행,김낙석 한국재난정보학회 2013 한국재난정보학회 논문집 Vol.9 No.3

강바닥판 교면포장의 고정하중 감소와 내구성 확보를 위해 사용되는 에폭시 아스팔트 콘크리트는 2액 반응형 재료로서 온도와 시간에 따라 강도가 발현되는 특징을 갖는다. 교통개방과 공정계획 수립을 위해서는 에폭시 아스팔트 콘크리트의 강도를 정확하게 예측할 수 있어야 하며 이를 위해 에폭시 아스팔트 콘크리트의 교통개방 시점 예측 모델을 개발하였다. 현장 시공 사례에 적용 하였을 때 기존 화학반응속도론에 기초한 모델의 R2가 0.806 이었으나 비선형 커브피팅을 통해 개발한 예측모델은 R2가 0.943로 보다 높은 예측 정확도를 나타내었다. 포장체의 온도데이터가 보다 많을 경우에는 예측모델과 실측값의 차이를 더 줄일 수 있었다.

비선형 커브피팅을 이용한 에폭시 아스팔트 포장의 교통개방 예측 모델 개발

Shin Haeng Jo,Nakseok Kim 한국재난정보학회 2013 한국재난정보학회 논문집 Vol.9 No.3

강바닥판 교면포장의 고정하중 감소와 내구성 확보를 위해 사용되는 에폭시 아스팔트 콘크리트는 2액 반응형 재료로서 온도와 시간에 따라 강도가 발현되는 특징을 갖는다. 교통개방과 공정계획 수립을 위해서는 에폭시 아스팔트 콘크리트의 강도를 정확하게 예측할 수 있어야 하며 이를 위해 에폭시 아스팔트 콘크리트의 교통개방 시점 예측 모델을 개발하였다. 현장 시공 사례에 적용 하였을 때 기존 화학반응속도론에 기초한 모델의 R2가 0.806 이었으나 비선형 커브피팅을 통해 개발한 예측모델은 R2가 0.943로 보다 높은 예측 정확도를 나타내었다. 포장체의 온도데이터가 보다 많을 경우에는 예측모델과 실측값의 차이를 더 줄일 수 있었다.

Sensor enriched infrastructure system

Ming L. Wang,임진석 국제구조공학회 2010 Smart Structures and Systems, An International Jou Vol.6 No.3

Civil infrastructure, in both its construction and maintenance, represents the largest societal investment in this country, outside of the health care industry. Despite being the lifeline of US commerce, civil infrastructure has scarcely benefited from the latest sensor technological advances. Our future should focus on harnessing these technologies to enhance the robustness, longevity and economic viability of this vast, societal investment, in light of inherent uncertainties and their exposure to service and even extreme loadings. One of the principal means of insuring the robustness and longevity of infrastructure is to strategically deploy smart sensors in them. Therefore, the objective is to develop novel, durable, smart sensors that are especially applicable to major infrastructure and the facilities to validate their reliability and long-term functionality. In some cases, this implies the development of new sensing elements themselves, while in other cases involves innovative packaging and use of existing sensor technologies. In either case, a parallel focus will be the integration and networking of these smart sensing elements for reliable data acquisition, transmission, and fusion, within a decision-making framework targeting efficient management and maintenance of infrastructure systems. In this paper, prudent and viable sensor and health monitoring technologies have been developed and used in several large structural systems. Discussion will also include several practical bridge health monitoring applications including their design, construction, and operation of the systems.

Sensor enriched infrastructure system

Wang, Ming L.,Yim, Jinsuk Techno-Press 2010 Smart Structures and Systems, An International Jou Vol.6 No.3

Civil infrastructure, in both its construction and maintenance, represents the largest societal investment in this country, outside of the health care industry. Despite being the lifeline of US commerce, civil infrastructure has scarcely benefited from the latest sensor technological advances. Our future should focus on harnessing these technologies to enhance the robustness, longevity and economic viability of this vast, societal investment, in light of inherent uncertainties and their exposure to service and even extreme loadings. One of the principal means of insuring the robustness and longevity of infrastructure is to strategically deploy smart sensors in them. Therefore, the objective is to develop novel, durable, smart sensors that are especially applicable to major infrastructure and the facilities to validate their reliability and long-term functionality. In some cases, this implies the development of new sensing elements themselves, while in other cases involves innovative packaging and use of existing sensor technologies. In either case, a parallel focus will be the integration and networking of these smart sensing elements for reliable data acquisition, transmission, and fusion, within a decision-making framework targeting efficient management and maintenance of infrastructure systems. In this paper, prudent and viable sensor and health monitoring technologies have been developed and used in several large structural systems. Discussion will also include several practical bridge health monitoring applications including their design, construction, and operation of the systems.