• Title/Summary/Keyword: Road Monitoring

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The Applicability for Estimating MFFn by SWMM in The Trunk Road (간선도로에서 MFFn 산정 시 SWMM의 적용성 평가)

  • Kwon, Hun-Gak;Lee, Jae-Woon;Yi, Youn-Jeong;Yoon, Young-Sam;Lee, Chun-Sik;Lee, Jae-Kwan
    • Journal of Korean Society on Water Environment
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    • v.27 no.5
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    • pp.605-616
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    • 2011
  • The first flush phenomenon and the Mass First Flush (MFFn) were analyzed for various rainy events in trunk road. Applicability for estimate MFFn using SWMM was evaluated by comparision with observed MFFn. First flush phenomenon was investigated by normalized cumulated (NCL) curve of every pollutant based on ten times of rainfall events monitoring data from 2008 to 2009. As a result, magnitude of first flush phenomenon varied with the pollutants and rainfall events. First flush phenomenon was detected highly in the trunk road. MFFn was estimated by varying n-value from 10 to 90% on the rainfall events. The n-value increases, MFFn is closed to '1'. As time passed, the rainfall runoff was getting similar to ratio of pollutants accumulation. The result of a measure of the strength of the linear relationship between observed data and expected data under model was good ($R^2$=0.956). As the final outcome, we have good reliability, estimation and application of MFFn using model seem statistically possible.

Change in the Concrete Strength of Forest Road Drainage Systems Caused by Forest Fires (산불로 인한 임도 배수시설의 콘크리트 강도 변화)

  • Ye Jun Choe;Jin-Seong Hwang;Young-In Hwang;Hyeon-Jun Jeon;Hyeong-Keun Kweon;Joon-Woo Lee
    • Journal of Korean Society of Forest Science
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    • v.112 no.4
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    • pp.451-458
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    • 2023
  • As forest fires continue to increase in scale worldwide, the importance of forest roads in relation to forest fire prevention and suppression has become increasingly evident. To ensure effective functioning during a forest fire disaster, it is crucial to apply appropriate road planning and ensure roads' structural integrity. However, previous studies have predominantly focused on the impact of forest fires on firebreak efficacy and road placement, meaning that insufficient attention has been paid to ensuring the safety of these facilities. Therefore, this study sought to compare the strength of concrete facilities within areas damaged by forest fires over the past three years by using the rebound hammer test to identify signs of thermal degradation. The results revealed that concrete facilities damaged by forest fires exhibited significantly lower strength (15.6 MPa) when compared with undamaged facilities (18.0 MPa) (p<0.001), and this trend was consistent across all the target facilities. Consequently, it is recommended that safety assessment criteria for concrete forest road facilities be established to prevent secondary disasters following forest fire damage. Moreover, continuous monitoring and research involving indoor experiments are imperative in terms of enhancing the stability of forest road structures. It is expected that such research will lead to the development of more effective strategies for forest fire prevention and suppression.

Evaluation of torsional response of a long-span suspension bridge under railway traffic and typhoons based on SHM data

  • Xia, Yun-Xia;Ni, Yi-Qing;Zhang, Chi
    • Structural Monitoring and Maintenance
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    • v.1 no.4
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    • pp.371-392
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    • 2014
  • Long-span cable-supported bridges are flexible structures vulnerable to unsymmetric loadings such as railway traffic and strong wind. The torsional dynamic response of long-span cable-supported bridges under running trains and/or strong winds may deform the railway track laid on the bridge deck and affect the running safety of trains and the comfort of passengers, and even lead the bridge to collapse. Therefore, it is eager to figure out the torsional dynamic response of long-span cable-supported bridges under running trains and/or strong winds. The Tsing Ma Bridge (TMB) in Hong Kong is a suspension bridge with a main span of 1,377 m, and is currently the world's longest suspension bridge carrying both road and rail traffic. Moreover, this bridge is located in one of the most active typhoon-prone regions in the world. A wind and structural health monitoring system (WASHMS) was installed on the TMB in 1997, and after 17 years of successful operation it is still working well as desired. Making use of one-year monitoring data acquired by the WASHMS, the torsional dynamic responses of the bridge deck under rail traffic and strong winds are analyzed. The monitoring results demonstrate that the differences of vertical displacement at the opposite edges and the corresponding rotations of the bridge deck are less than 60 mm and $0.1^{\circ}$ respectively under weak winds, and less than 300 mm and $0.6^{\circ}$ respectively under typhoons, implying that the torsional dynamic response of the bridge deck under rail traffic and wind loading is not significant due to the rational design.

Background and Local Histogram-Based Object Tracking Approach (도로 상황인식을 위한 배경 및 로컬히스토그램 기반 객체 추적 기법)

  • Kim, Young Hwan;Park, Soon Young;Oh, Il Whan;Choi, Kyoung Ho
    • Spatial Information Research
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    • v.21 no.3
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    • pp.11-19
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    • 2013
  • Compared with traditional video monitoring systems that provide a video-recording function as a main service, an intelligent video monitoring system is capable of extracting/tracking objects and detecting events such as car accidents, traffic congestion, pedestrian detection, and so on. Thus, the object tracking is an essential function for various intelligent video monitoring and surveillance systems. In this paper, we propose a background and local histogram-based object tracking approach for intelligent video monitoring systems. For robust object tracking in a live situation, the result of optical flow and local histogram verification are combined with the result of background subtraction. In the proposed approach, local histogram verification allows the system to track target objects more reliably when the local histogram of LK position is not similar to the previous histogram. Experimental results are provided to show the proposed tracking algorithm is robust in object occlusion and scale change situation.

Development and testing of a composite system for bridge health monitoring utilising computer vision and deep learning

  • Lydon, Darragh;Taylor, S.E.;Lydon, Myra;Martinez del Rincon, Jesus;Hester, David
    • Smart Structures and Systems
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    • v.24 no.6
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    • pp.723-732
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    • 2019
  • Globally road transport networks are subjected to continuous levels of stress from increasing loading and environmental effects. As the most popular mean of transport in the UK the condition of this civil infrastructure is a key indicator of economic growth and productivity. Structural Health Monitoring (SHM) systems can provide a valuable insight to the true condition of our aging infrastructure. In particular, monitoring of the displacement of a bridge structure under live loading can provide an accurate descriptor of bridge condition. In the past B-WIM systems have been used to collect traffic data and hence provide an indicator of bridge condition, however the use of such systems can be restricted by bridge type, assess issues and cost limitations. This research provides a non-contact low cost AI based solution for vehicle classification and associated bridge displacement using computer vision methods. Convolutional neural networks (CNNs) have been adapted to develop the QUBYOLO vehicle classification method from recorded traffic images. This vehicle classification was then accurately related to the corresponding bridge response obtained under live loading using non-contact methods. The successful identification of multiple vehicle types during field testing has shown that QUBYOLO is suitable for the fine-grained vehicle classification required to identify applied load to a bridge structure. The process of displacement analysis and vehicle classification for the purposes of load identification which was used in this research adds to the body of knowledge on the monitoring of existing bridge structures, particularly long span bridges, and establishes the significant potential of computer vision and Deep Learning to provide dependable results on the real response of our infrastructure to existing and potential increased loading.

A Study on Air Quality and Monitoring System in Busan (부산시의 대기오염과 측정망(감시망)에 관한 고찰)

  • 박재림
    • Journal of Environmental Health Sciences
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    • v.2 no.1
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    • pp.37-48
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    • 1975
  • Air pollutants were measured to get useful data in preventing and controlling the pollution at industrial and semi-industrial, commercial, cross-road and residential areas by season in Busan from September 1973 to June 1974. Teated were dustfalls(ton/$km^2$/month)by Deposit Gauge method, sulfuric anhydride(mg $SO_3/day/100cm^2 PbO_2$) by Lead Peroxide candle method. The relations between pollution and metherologlcal factors and source of pollution were discussed, The findings are as follows: 1. The mean value of dustfalls was 24.8 tons rangi~ng from 12.5 tons to 44.5 tons. The highest amount of dustfalls of 29.0 tons was measured in crossroad areas while the 1oeest of 22.7 tons in commercial areas, and Winter the highest of 27.7 tons while in Spring the lowest of 21.2 tons. 2. The mean value of water soluble substances was 31.7 per cent, and seasonal variation of pH was shown as 4.20 in Autumn, 3.85 in Summer and 2.76 in Winter. 3. The mean value of sulfuric anhydride was 1.54mg ranging from 0.197mg to 4.162 mg. The highest concentration of sulfuric anhydride of 2.03mg was detected in cross-road areas while thelowest of 1.23mg in residential areas, and Summer the highest of 2.18mg while in Spring the lowest of 1.09mg(0. 92mg in Nov. 1973) 4. Dustfalls are more with the decreased of relative humidity and precipitation while concentrat:on of sulfuric anhydrides are more with the increased of relative humidity. 5. There is a probability of occuring chronic symptoms(respiratory and others) as the dustfalls with 24.8 tons and sulfuric anhydride with 1.54mg in Busan. According to this, it is the time to discuss monitoring system and systematic preventing methods.

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Characteristics of EMCs for Roof Runoff (강우시 지붕유출수의 EMCs 및 특성비교)

  • Hong, Jung Sun;Geronimo, Franz Kevin F.;Mercado, Jean Margaret R.;Kim, Lee-Hyung
    • Journal of Wetlands Research
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    • v.14 no.4
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    • pp.657-665
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    • 2012
  • The development projects distort the natural water circulation system and increase the non-point source pollution by changing the natural cover type. The low impact development (LID) techniques are considering as new development approach to decrease the ecological- and hydrological impacts from high imperviousness rate. The high imperviousness rate is because of the construction of building, parking lot and road for human activities. Knowing the basic characteristics of rood runoff can give the direction for setting up the water management strategy. The monitoring results show the pollutant EMCs of roof runoff are 3~13 times lower than EMCs of the road and parking lot. The pollutant sources from roof runoff are mainly from leafs, cigarette butts, atmospheric deposition and materials of the roof. The EMC is occurred around 15minutes later after starting runoff and more than 8 storm events are needed to have the average EMCs.

Research of Controled Traffic Signal by Image Processing and Fuzzy Logic (영상처리 및 퍼지논리를 이용한 교통 신호제어 연구)

  • Shin, Ji-Hwan;Park, Mu-Hun
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.9 no.1
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    • pp.100-108
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    • 2016
  • In this paper, We propose a method which prevents severe traffic jam by controlling traffic signal by itself based on image-processed information and fuzzy logic. The detailed idea of this method is first to let a closed monitoring camera gather the number of cars which show the flow of traffic the designated roads which are commonly considered to have traffic. After executing the image processing method on each image gathered from the monitoring camera, this system determines the changing timing of traffic signal based on fuzzy logic. Also, this image processing method shows good performance in real road environment because the setup background image which used in this system is designed to be updated in real time. All of good points mentioned above would lead driver and users to cost efficient and time efficient results by preventing the increase of the number of traffic on road in advance with the automatic traffic signal controlling algorithm based on the fuzzy logic.

A Study on the Establishment of Quality Control Standards for Accuracy Improvement of DSRC Traffic Information System (DSRC 교통정보 정확도 개선을 위한 품질관리 기준수립 연구)

  • Hwang, Taehyun;Won, Insu;Kwon, Jangwoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.1
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    • pp.44-57
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    • 2020
  • A dedicated short-range communications (DSRC) traffic information system is a detection system for a section of road using communication between roadside equipment and on-board High-Pass units to collect road traffic information and provide reliable traffic information to drivers. The Ministry of Land, Infrastructure, and Transport announced that a DSRC system must be supported to pass the performance evaluation of an intelligent transportation system (ITS), and the performance evaluation for DSRC systems installed in expressways and national highways is started. Currently, DSRC traffic information systems are only managed for maintenance and functional-monitoring purposes, which means that detailed criteria for the operation of a DSRC traffic information system, such as communication range, the direction of the antenna, and the power of the radio wave, etc., need to be established. In this paper, the criteria of the performance evaluation of a DSRC traffic information system are presented for different road types and road environments. The proposed performance evaluation criteria included the communication range and communication power of roadside equipment. In addition, installation criteria, such as the direction of the antenna, and the height and angle of the installed system, are presented for different road types and road environments. The criteria presented were evaluated for DSRC roadside equipment and documented to improve system maintenance and quality control of the communication system.

Human Health Risk Assessment of Polycyclic Aromatic Hydrocarbons (PAHs) from Road Dust Sediments in Korea (국내 도로 노면 퇴적입자 내 PAHs의 인체 위해성 평가)

  • Lee, Gain;Kim, Hongkyoung;Ji, Seungmin;Jang, Yong-Chul
    • Journal of Environmental Impact Assessment
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    • v.29 no.4
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    • pp.286-297
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    • 2020
  • This research studied human health risk assessment of PAHs (Polycyclic Aromatic Hydrocarbons) in road dust sediments collected from 6 sites in four different cities in Korea. PAHs are well known to be human carcinogens and toxic compounds that are commonly generated from incomplete combustion of fuels and energy products. Such compounds which is absorbed by atmospheric suspended dust can be emitted into air in gaseous form and often deposited on road dust sediments. The PAHs which is deposited on sediment particles can also be re-dispersed by vehicles or winds on the road surface. It can be harmful for humans when exposed via breathing, ingestion and dermal contact. This study examined human health risk assessment of PAHs in deposited road dust sediments. Results showed that the excess cancer risk estimates were above 1.0×10-6 at main traffic roads and resident area in Ulsan city. According to the result of deterministic risk assessment, dermal-contact was the major pathway, while the contribution of the risk from inhalation was less than 1%. The probabilistic risk assessment showed similar levels of cancer risk derived from the deterministic risk assessment. The result of sensitivity analysis reveal that exposure time is the most contributing factor (69%). Since the values of carcinogenic risk assessment were higher than 1.0 × 10-6, further detailed monitoring and refined risk assessment for PAHs may be required to identify more reliable and potential cancer risks for those who live in the study locations in Ulsan city.