• Title/Summary/Keyword: Traffic Estimate

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A Study on the Method of Freight Generation Estimation according to Company Size in Seoul Metropolitan Area (수도권의 사업체 규모에 따른 화물발생 예측 방법론 연구)

  • Park Sang-Chul;Choi Chang-Ho
    • Journal of Navigation and Port Research
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    • v.29 no.5 s.101
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    • pp.431-437
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    • 2005
  • In korea, Freight generation models developed in korea were estimated by spatial unit method which predict freight flow by traffic zone. But it is difficult to predict freight generation using these models, because there are the difference of the totality method of sampling data on freight volume and the variability of the variables by these models on each case study, This study developed new estimation model to predict freight flow which is generated from each company using the characteristics of each company such as the freight outbound & inbound volume, the number of employee, sales, gross area, land area. This model is simpler than the that of spatial unit and can apply to the other region. The subjects of study were companies in metropolitan area and types of model were exponential regression models. The adequate explanatory variable in the models were sales. this study have a uniqueness apply micro research method to estimate freight generation not use spatial unit method but use flow unit method by each company unit.

An Efficient Admission Control and Resource Allocation Methods in DiffServ Networks (인터넷 차별화 서비스 네트워크에서의 효율적인 호 수락 제어 및 자원 이용 방안에 관한 연구)

  • 조병일;유상조
    • Journal of Korea Multimedia Society
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    • v.7 no.5
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    • pp.698-712
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    • 2004
  • DiffServ network architecture does not define a call admission control procedure explicitly. In this paper, a new DiffServ QoS control mechanism is suggested which, after the call admission control, can execute packet process according to the class while, at the same time, executing on the flow based call admission control in the DiffServ network. Routers on the path from the source to the destination estimate the aggregated class traffic of the existing flows and the new incoming flow and then, perform a call admission control in accordance with the type of classes efficiently based on the required bandwidth per each class that can meet the user's QoS requirements. In order to facilitate the packet process according to the class after the flow based call admission control, a mechanism is suggested that can adjust the network resources to classes dynamically. The performance analysis on this mechanism is carried out through a simulation.

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Development of Cable Excitation System for Evaluating Dynamic Characteristics of Stay Cables (사장교 케이블 동특성 평가를 위한 케이블 가진시스템 개발)

  • Kim, Nam-Sik;Jeong, Woon;Seo, Ju-Won;Ahn, Sang-Sup
    • Journal of the Earthquake Engineering Society of Korea
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    • v.7 no.4
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    • pp.71-79
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    • 2003
  • As a critical member of cable-stayed bridges, stay cables play on important role of supporting the entire structure. Traffic, wind or rain-wind induced vibrations of stay cables would be a major cause of degrading both safety and serviceability of the bridge. One of the effective alternatives to solve this problem is to employ the cable dampers. In order to design the cable damper optimally, it is necessary to exactly estimate the dynamic characteristics of the existing cables. To achieve more reliable dynamic properties of stay cables, precise excitations inducing forced vibration are needed. Therefore, in this study, a cable excitation system(exciter) controlled digitally was developed. And to evaluate the performance of the cable exciter developed, a solution of the differential equation of cable motion considering the exciter was derived, Using the cable exciter, sine sweeping and resonance tests on a cable model were carried out to obtain the dynamic characteristics effectively.

Statistical Techniques to Derive Heavy Rain Impact Level Criteria Suitable for Use in Korea (통계적 기법을 활용한 한국형 호우영향도 기준 산정 연구)

  • Lee, Seung Woon;Kim, Byung Sik;Jung, Seung Kwon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.40 no.6
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    • pp.563-569
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    • 2020
  • Presenting the impact of meteorological disasters departs from the traditional weather forecasting approach for meteorological phenomena. It is important to provide impact forecasts so that precautions against disruption and damage can be taken. Countries such as the United States, the U.K., and France already conduct impact forecasting for heavy rain, heavy snow, and cold weather. This study improves and applies forecasts of the impact of heavy rain among various weather phenomena in accordance with domestic conditions. A total of 33 impact factors for heavy rain were constructed per 1 km grids, and four impact levels (minimal, minor, significant, and severe) were calculated using standard normal distribution. Estimated criteria were used as indicators to estimate heavy rain risk impacts for 6 categories (residential, commercial, utility, community, agriculture, and transport) centered on people, facilities, and traffic.

Moment-rotational analysis of soil during mining induced ground movements by hybrid machine learning assisted quantification models of ELM-SVM

  • Dai, Bibo;Xu, Zhijun;Zeng, Jie;Zandi, Yousef;Rahimi, Abouzar;Pourkhorshidi, Sara;Khadimallah, Mohamed Amine;Zhao, Xingdong;El-Arab, Islam Ezz
    • Steel and Composite Structures
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    • v.41 no.6
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    • pp.831-850
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    • 2021
  • Surface subsidence caused by mining subsidence has an impact on neighboring structures and utilities. In other words, subsurface voids created by mining or tunneling activities induce soil movement, exposing buildings to physical and/or functional destruction. Soil-structure is evaluated employing probability distribution laws to account for their uncertainty and complexity to estimate structural vulnerability. In this study, to investigate the displacement field and surface settlement profile caused by mining subsidence, on the basis of a Winklersoil model, analytical equations for the moment-rotation response ofsoil during mining induced ground movements are developed. To define the full static moment-rotation response, an equation for the uplift-yield state is constructed and integrated with equations for the uplift- and yield-only conditions. The constructed model's findings reveal that the inverse of the factor of safety (x) has a considerable influence on the moment-rotation curve. The maximal moment-rotation response of the footing is defined by X = 0:6. Despite the use of Winkler model, the computed moment-rotation response results derived from the literature were analyzed through the ELM-SVM hybrid of Extreme Learning Machine (ELM) and Support Vector Machine (SVM). Also, Monte Carlo simulations are used to apply continuous random parameters to assess the transmission of ground motions to structures. Following the findings of RMSE and R2, the results show that the choice of probabilistic laws of input parameters has a substantial impact on the outcome of analysis performed.

Effects of mining activities on Nano-soil management using artificial intelligence models of ANN and ELM

  • Liu, Qi;Peng, Kang;Zeng, Jie;Marzouki, Riadh;Majdi, Ali;Jan, Amin;Salameh, Anas A.;Assilzadeh, Hamid
    • Advances in nano research
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    • v.12 no.6
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    • pp.549-566
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    • 2022
  • Mining of ore minerals (sfalerite, cinnabar, and chalcopyrite) from the old mine has led in significant environmental effects as contamination of soils and plants and acidification of water. Also, nanoparticles (NP) have obtained global importance because of their widespread usage in daily life, unique properties, and rapid development in the field of nanotechnology. Regarding their usage in various fields, it is suggested that soil is the final environmental sink for NPs. Nanoparticles with excessive reactivity and deliverability may be carried out as amendments to enhance soil quality, mitigate soil contaminations, make certain secure land-software of the traditional change substances and enhance soil erosion control. Meanwhile, there's no record on the usage of Nano superior substances for mine soil reclamation. In this study, five soil specimens have been tested at 4 sites inside the region of mine (<100 m) to study zeolites, and iron sulfide nanoparticles. Also, through using Artificial Neural Network (ANN) and Extreme Learning Machine (ELM), this study has tried to appropriately estimate the mechanical properties of soil under the effect of these Nano particles. Considering the RMSE and R2 values, Zeolite Nano materials could enhance the mine soil fine through increasing the clay-silt fractions, increasing the water holding capacity, removing toxins and improving nutrient levels. Also, adding iron sulfide minerals to the soils would possibly exacerbate the soil acidity problems at a mining site.

Change in Impervious Area Rate by Rural Water Districts using EGIS Land Cover Maps (EGIS 토지피복지도를 이용한 농어촌용수구역 불투수면적률 변화)

  • Jang, Min-Won;Kim, Hakkwan
    • Journal of Korean Society of Rural Planning
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    • v.28 no.4
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    • pp.19-29
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    • 2022
  • This study aimed to estimate the impervious area rate by rural water districts in 2009 and 2021 and analyze the changes. From the EGIS(Environmental Geographic Information Service) land cover maps, the impervious areas were defined as residential, commercial, industrial, culture·sports·recreational, traffic, public facilities, and greenhouses of land cover classes. For 496 rural water districts excluding the border area with North Korea, the nationwide impervious area rate increased from 5.96% in 2009 to 7.50% in 2021. The average of the top 50 rural water districts increased from 23.4% in 2009 to 27.1% in 2021. E ven for the bottom 50 rural water districts, the average impervious area rate rose from 1.12% in 2009 to 1.40% in 2021. Rural water districts with a high impervious area rate are mainly distributed in metro cities and industrial areas. The contraries are primarily found in Gangwon, Gyeongsang, and Jeolla regions covered with forests and farmlands. Notably, the impervious area rate changed more in the neighboring rural water districts than in large cities, and the rate kept increasing slightly even in rural areas with a low impervious area rate. The findings of this study will help prepare a reasonable alternative for managing the impermeable surface of rural areas for safe and sound rural water cycle.

A Study on Evaluation of the Potential of Omni-Channel Market in China by Region (중국의 지역별 옴니채널시장 잠재력 평가에 관한 연구)

  • Jung, Seok-Mo;Lee, Choong-Bae
    • Korea Trade Review
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    • v.43 no.1
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    • pp.131-152
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    • 2018
  • This study evaluates the potential by Chines region for entry of Korean logistics companies and retailers. The variables affecting e-commerce business and retail sales concerning the Chinese omni-channel market were extracted from a thorough literature review. Empirical analyses for variables based on 31 regions in China were performed. Results show that e-commerce is affected by disposable income and internet traffic and that retail sales are affected by urban and rural population, GRDP and urbanization. In addition, we performed variance decomposition analysis in order to estimate responses of logistics GDP(transport, storage and communication) and the number of Chinese mobile users. Exogenous shocks to logistics GDP and the number of mobile phone users play a strong role in explaining the forecast error of express service variance over time. Based on our results, we suggest 7 potential regions(Guangdong, Jiangsu, Zhejiang, Beijing, Shanghai, Liaoning and Shandong) as well as managerial implications for entry into China for logistics companies and retailers.

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A Study on the Analysis of Bridge Safety by Truck Platooning (차량 군집 주행에 따른 교량 안전성 분석에 관한 연구 )

  • Sangwon Park;Minwoo Chang;Dukgeun Yun;Minhyung No
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.27 no.2
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    • pp.50-57
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    • 2023
  • Autonomous driving technologies have been gradually improved for road traffic owing to the development of artificial intelligence. Since the truck platooning is beneficial in terms of the associated transporting expenses, the Connected-Automated Vehicle technology is rapidly evolving. The structural performance is, however, rarely investigated to capture the effect of truck platooning on civil infrastructures.In this study, the dynamic behavior of bridges under truck platooning was investigated, and the amplification factor of responses was estimated considering several parameters associated with the driving conditions. Artificial intelligence techniques were used to estimate the maximum response of the mid span of a bridge as the platooning vehicles passing, and the importance of the parameters was evaluated. The most suitable algorithm was selected by evaluating the consistency of the estimated displacement.

A Study on Behavioral Characteristics of Asphalt Pavements using Wandering Measurement Devices (원더링 장비 적용을 통한 아스팔트 포장 거동 특성 연구)

  • Kim, Nakseok;Jeong, Jin-Hoon;Lee, Jae-Hoon;Park, Changwoo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.1D
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    • pp.89-94
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    • 2006
  • Premature failures in pavements are frequently reported due to rapid increasement in traffic volume, heavy vehicles, and high temperature in the summer. Based on this concept in mind, Korea Highway Corporation established the Test Road Operation Center to estimate the pavement performance. To evaluate the pavement performance effectively using the field data, wandering is an important topic in pavement analysis. In this study, portable wandering system was developed and analyzed to investigate the pavement responses due to the dynamic truck passes, and analyzed the wandering to dynamic load test. The test results revealed that the advantages of laser devices were noticeable compare to the other measuring ones. To understand the behavioral characteristics of pavements using the wandering measurement devices, dynamic truck tests were conducted in the field. Test results showed that the effects of wandering on asphalt pavement were significant. The data analysis using this wandering effect is considered as an important tool in performance analysis of asphalt concrete pavement.