• Title/Summary/Keyword: On-Demand Operation

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Railroad Travel Demand Estimation System Suggestion (철도수송수요 예측시스템 제안)

  • Min, Jae-Hong
    • Proceedings of the KSR Conference
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    • 2003.10b
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    • pp.3-7
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    • 2003
  • It is very difficult to find optimal train operation plan when analyzing the economic investment using traditional railroad travel demand estimation method. Train operation plan depends on travel demand and vice versa. To solve this problem, this study suggests a demand estimation method to address an optimal train operation scheme with the modal spilt using initial train operation plan and trip assignment.

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A Study on Zonal Operation of Buses - 2-Zonal operation Case - (구역분할 버스운영에 관한 연구 - 2-구역분할 운영의 경우 -)

  • 고승영;이양호
    • Journal of Korean Society of Transportation
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    • v.14 no.1
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    • pp.69-80
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    • 1996
  • In most cities, travel demand is distributed along long corridors and its destinations tend to concentrate in a central business district. For this kind of many-to-one or one-to-many travel demand pattern, a zonal operation of buses can be an efficient bus operation technique in which a long bus-demand corridor is divided into service zones and each service zone is provided with its own bus route connecting the service zone and single destination separately. This paper develops models of the total transportation costs for a single-zone operation and 2-zonal operation of buses for a long demand corridor with single destination in terms of various cost parameters, demand density, bus operation speeds, and location of the boundary between two service zones. In this study the total transportation cost is assumed to consist of the bus operation cost, passenger waiting cost and passenger travel time cost. It was proved that a zonal operation of buses can be more efficient than a single-zone operation for certain circumstances of the system and an boundary condition between two operation techniques was obtained. Also, several case studies were performed for various values of the cost parameters.

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Estimating the Physical Demand of Waterproofing Worker

  • Lim, Tae-Kyung;Lee, Dong-Eun
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.101-103
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    • 2015
  • Scientific methods that measure the physical demand requirements of a construction operation have not been arrived at maturity in construction community. It is attributed to the difficulty involved in performing controlled experiments on the operation and its' volatile jobsite environment. This paper presents a method that measures the physical demand requirement of the waterproofing activity and verifies the differences between various operations (e.g., a primer painting and a polyurethane coating) consisting of the activity. Two hypotheses, which are involved in the operations, are summarized as follows: [Hypothesis 1] when one performs the same amount of work; the one's average heart rate required for the polyurethane coating operation is higher than that required for the primer painting operation. [Hypothesis 2] when one performs the same amount of work, the one's break time required for the polyurethane coating operation is longer than that required for the primer painting operation.

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Deep Learning Based Electricity Demand Prediction and Power Grid Operation according to Urbanization Rate and Industrial Differences (도시화율 및 산업 구성 차이에 따른 딥러닝 기반 전력 수요 변동 예측 및 전력망 운영)

  • KIM, KAYOUNG;LEE, SANGHUN
    • Transactions of the Korean hydrogen and new energy society
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    • v.33 no.5
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    • pp.591-597
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    • 2022
  • Recently, technologies for efficient power grid operation have become important due to climate change. For this reason, predicting power demand using deep learning is being considered, and it is necessary to understand the influence of characteristics of each region, industrial structure, and climate. This study analyzed the power demand of New Jersey in US, with a high urbanization rate and a large service industry, and West Virginia in US, a low urbanization rate and a large coal, energy, and chemical industries. Using recurrent neural network algorithm, the power demand from January 2020 to August 2022 was learned, and the daily and weekly power demand was predicted. In addition, the power grid operation based on the power demand forecast was discussed. Unlike previous studies that have focused on the deep learning algorithm itself, this study analyzes the regional power demand characteristics and deep learning algorithm application, and power grid operation strategy.

A Study on the Bus Operation Management and Transport Strategy (버스운행관리 및 수송전략에 관한 연구)

    • Journal of Korean Port Research
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    • v.13 no.2
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    • pp.323-332
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    • 1999
  • The bus should supply an equal service to the whole community as feeder trip. However the existing bus route can not supply an effective feeder service in spite of the changes in the latent demand by the variety of regional structural change. This study aimed to establish the concept which frames the bus operation and management to cope with the latent demand to the bus. This study tackled this evidence by analyzing the transportation problems in terms of the urban growth emphasizing the following issues ; First, the strategy to improve the bus operation Second the land use control appropriate for the public transportation network Third economical range to justify the bus operation Second, the land use control appropriate for the public transportation network Third, economical range to justify the bus operation Fourth, the allowance for the private transportation mode On the latter part, the difference on the bus operation was compared to determine the range within which the bus operation could be justified. This study would provide some implications to improve the management for bus operation and fundamental information to develop the bus operation system.

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Initial Operation Case Study on KTX Special Class (KTX 특정(조건부) 할인상품 운영에 관한 사례 연구)

  • Han, Eun-Young;Ju, Sang-Hwa
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.758-762
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    • 2007
  • Revenue management is a new approach method to solve the problem of supply and demand, and one of fields which is diffused quickly at the service enterprise to use perishable-asset like the transportation business. It is based on multiple fare policy that discount charge reservation should be received if the benefit value of current discount fare is more than expected profit of the normal fare reservation it will be able to occur in future when suitable goods is sold to the customers at discount fare, at the time they want, and at assigned seat by controlling supply and demand from market. In this research, I will review on initial operation case for special class goods that the seat which is limited is assigned at some of train and portion of KTX for demand dispersion and new demand creation at peak time, put a limit in purchase conditions, and provides discounted fare. I will also try to find implication for strategic operation.

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A Study on the Bus Operation and the Strategy for Bus Transport Improvement (버스운행관리 및 수송전략에 관한 연구)

  • 배기목
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 1999.10a
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    • pp.123-130
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    • 1999
  • The bus as a feeder trip should supply equality service to the whole community. But in spite of the change of latent demand to the bus by the variety of regional structural change, the existing bus route can not supply effective feeder service. For cope with the latent demand to the bus, this study establish a concept that frame of the bus operation and management. This study tackled to evidence this fact by analyzing the bus transport problems in terms of the urban growth, and following issues were discussed: 1) the strategy for improvement of bus operation, 2) the land use control which is appropriate for the public transport network, 3) the economical range to justify the bus operation, 4) the allowance for the private transport mode. On the second part of this study, the difference on the bus operation was compared to determine the range within which the bus operation can be justified. This would provide the direction to improve the management for bus operation and fundamental information to develop the bus operation system.

Bhumipol Dam Operation Improvement via smart system for the Thor Tong Daeng Irrigation Project, Ping River Basin, Thailand

  • Koontanakulvong, Sucharit;Long, Tran Thanh;Van, Tuan Pham
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.164-175
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    • 2019
  • The Tor Tong Daeng Irrigation Project with the irrigation area of 61,400 hectares is located in the Ping Basin of the Upper Central Plain of Thailand where farmers depended on both surface water and groundwater. In the drought year, water storage in the Bhumipol Dam is inadequate to allocate water for agriculture, and caused water deficit in many irrigation projects. Farmers need to find extra sources of water such as water from farm pond or groundwater as a supplement. The operation of Bhumipol Dam and irrigation demand estimation are vital for irrigation water allocation to help solve water shortage issue in the irrigation project. The study aims to determine the smart dam operation system to mitigate water shortage in this irrigation project via introduction of machine learning to improve dam operation and irrigation demand estimation via soil moisture estimation from satellite images. Via ANN technique application, the inflows to the dam are generated from the upstream rain gauge stations using past 10 years daily rainfall data. The input vectors for ANN model are identified base on regression and principal component analysis. The structure of ANN (length of training data, the type of activation functions, the number of hidden nodes and training methods) is determined from the statistics performance between measurements and ANN outputs. On the other hands, the irrigation demand will be estimated by using satellite images, LANDSAT. The Enhanced Vegetation Index (EVI) and Temperature Vegetation Dryness Index (TVDI) values are estimated from the plant growth stage and soil moisture. The values are calibrated and verified with the field plant growth stages and soil moisture data in the year 2017-2018. The irrigation demand in the irrigation project is then estimated from the plant growth stage and soil moisture in the area. With the estimated dam inflow and irrigation demand, the dam operation will manage the water release in the better manner compared with the past operational data. The results show how smart system concept was applied and improve dam operation by using inflow estimation from ANN technique combining with irrigation demand estimation from satellite images when compared with the past operation data which is an initial step to develop the smart dam operation system in Thailand.

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New Electrified Rail Impact on Conventional Railroad ; An Empirical Analysis (서울~천안간 전철 개통후 일반철도 수요변화 분석)

  • Kim Jyoung-Tae;Lee Jin-Sun
    • Journal of the Korean Society for Railway
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    • v.8 no.6 s.31
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    • pp.592-596
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    • 2005
  • This study analyzed changes of train operation between Seoul~Cheonan after the introduction of new electrified rail in 2005. As expected number of passengers were reduced at specific service section and several railroad stations which were served by the Mugunghwa. Also, the statistic shows that passenter demand concentrated in a specific time, so train service frequency and level of service need to be modified to meet with changed demand pattern. The purpose of this paper is to identify critical demand pattern, especially, in several section of the railroad system. This studies provide a railroad transportation system that is significantly more efficient, with far greater capacity, by providing solutions to the problems of congestion impact.

Bid-based Direct Load Control Framework Under Electricity Markets (전력시장 환경하에 입찰기반의 직접부하제어 운영방안)

  • Lee, Ho-Chul;Song, Sung-Hwan;Yoon, Yong-Tae
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.3
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    • pp.455-461
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    • 2009
  • This paper proposes Direct Load Control(DLC) operation scheme using a bidding system and the methodology to value proper quantity decided by the DLC program, which is a kind of resources for stabilization of electricity market price during peak times by managing consumer electricity demand. Since DLC program in Korea is based on the contract with the customers participating in this program, it is difficult to anticipate voluntary participation. That is, incentive for participants in DLC program is insufficient. To cope with this point, it is necessary to develop a new market mechanism and market compatible operation scheme for DLC programs. DLC market mechanism is deemed to be equipped with iterative bidding system, independent operation from energy market, and interactive with bidding information on energy market. With this market mechanism, it is important to find the optimal operation point of DLC allowing for the factors of stabilizing the electricity market price and compensating DLC implementation. This paper focuses on the mathematical approaches for the bid-based DLC operation scheme and examines several scenarios for the following technical justifications: 1) stabilization of electricity market price during peak times, 2) elasticity of demand.