• Title/Summary/Keyword: increase traffic capacity

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Strategies for Container Terminal Development and Operation for the Hub Port in Northeast Asia (동북아 중심항만 구축을 위한 컨테이너 터미널의 개발 및 운영전략)

  • 이철영;최재수;박진수;채양범;신창훈
    • Journal of Korean Port Research
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    • v.12 no.2
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    • pp.161-176
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    • 1998
  • This paper aims to suggest the strategies for Korea port, especially Busan to develope into a viable transhipment center and/or Hub port as the articulation points between mainline and feeder nets. To tackle this goal, the authors clarify the requirements for Korea port which will be critical in determining its position as Hub trough the careful analysis on competitiveness, environmental impact, port policy and capacity, transhipment traffic and inherent ability to generate traffic. The results are summerized as follows. (1) Coping with increasing container volumes, new investment is sustainedly necessary to increase the capacity and inherent ability of container port and create economies of scale. Moreover, increasing port capacity will increase the potential for the Korea port's inclusion into mainline rather than feeder networks. (2) Considering an increasing awareness of need for customer-oriented operations and service quality rather than simply a reliance on infrastructure-led efficiency, privatization of one sort or another and corporation of port have been key strategies in achieving greater efficiency in Korea containerport.

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Cell Coverage Based on Calculation of the Voice-Data Erlang Capacity in a WCDMA Reverse Link with Multi-rate Traffic (WCDMA 역방향 링크에서 다중속도 트래픽에 따른 음성/데이터 얼랑용량 계산과 셀 커버리지)

  • Kwon, Young-Soo;Han, Tae-Young;Kim, Nam
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.15 no.4
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    • pp.387-396
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    • 2004
  • A scheme to evaluate the number of users and cell coverage of a WCDMA supporting multi-rate traffic is newly presented through calculation of the realizable Erlang capacity from a derived blocking probability and the path loss from the COST231 Walfisch-Ikegami(W) model. We evaluate the voice-data Erlang capacities at various data rates of 15 kbps to 960 kbps and it is shown that they have a linear relationship to each other. When the E$\_$b//N$\_$o/ is low from 4 ㏈ to 3 ㏈ in case of voice capacity of 50 Erlang at 8 kbps, the result shows the increase for the data capacity of 10 Erlang and the enlargement of 100 m for the cell coverage at low rate of 15 kbps, and the increase of 0.11 Erlang and the enlargement of 40 m at high rate of 960 kbps. The increase of the blocking probability results in the increase of the Erlang capacity, but not an effect on the cell coverage, and the increase of active users in a cell results in the decrease of the coverage.

A Study on the Traffic Flow Characteristic Analysis and Applicability of Work Zones (도로 공사중의 교통류 특성분석과 적용성에 관한 연구 -고속도로를 중심으로-)

  • Lim, Chae-Moon;Lee, Ju-Ho;Lee, Young-Woo
    • Journal of the Korean Society of Industry Convergence
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    • v.5 no.4
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    • pp.329-337
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    • 2002
  • It is the actual condition that the increasing traffic delay and accident caused by inefficient management on various construction by occupying the roadways. Since almost roadway improvements are for the public convenient, negative effects by them are ignored. But now due to the increase of traffics demand and limitation of road supply, the positive management scheme and treatment plan on the constructions must be considered. Thus, to the extent of this study divides uninterrupted flow into freeways and the Highway, yielding the time spread between under construction and not, that is delay time, we build capacity and delay model in the change of traffic volume and occupying length.

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Development of Service Use Cases and Business Models for 4G Mobile Communications Based on Device-to-Device Communications (단말기간 직접통신(Device-to-Device) 기반 4G 이동통신 서비스 발굴 및 비즈니스 모델 개발 방법론)

  • Oh, Seul-Ki;Ryu, Seung-Wan;Park, Sei-Kwon;Shin, Dong-Cheon;Kim, Yi-Kang
    • Journal of Information Technology Services
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    • v.11 no.2
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    • pp.339-353
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    • 2012
  • Mobile communication technology is advancing forward to deliver more connected devices and richer content and applications. The number of subscriptions continues to grow along with an explosive increase in the mobile data traffic demand. Thereby, it creates a significant network capacity shortage concerns for mobile network operators. In order to address this problem, it is essential to increase the network capacity at a low additional cost. The device-to-device (D2D) communication based proximity service is believed to have a promising future mobile communication technology that is capable to create new mobile service opportunities and offload traffic to the eNB. In addition, it is also required to develop new mobile communication services and its business models not only to accommodate the increasing mobile traffic demand but also to foster profitability of mobile business service providers such as the network providers, contents providers and platform providers. In this article, we first analyze current mobile business eco-system in the context of CPNT based value chain. Then, propose service development framework and business model creation methodologies for the device-to-device communication based services in the beyond LTE/LTE-Advanced systems.

A Simulation Study of Urban Public Transport Transfer Station Based on Anylogic

  • Liu, Weiwei;Wang, Fu;Zhang, Chennan;Zhang, Jingyu;Wang, Lei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.4
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    • pp.1216-1231
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    • 2021
  • With the increase in the population of our cities and the rapid increase in the number of private cars, urban traffic has become more and more congested. At this stage, urban public transportation has become one of the main ways to improve urban traffic congestion. Aiming at the problem of how to improve the basic capacity of buses in multi-line transfer stations, this paper conducts simulation research based on anylogic software. Through micro-simulation analysis of vehicles entering, stopping, and exiting the station, combined with the delay model theory, the vehicle is given Stop organization optimization and station layout improvement methods, so that vehicles can run in the station more stably, smoothly and safely. Case analysis shows that applying this method to the roadside parking problem, the main and auxiliary bus stations have a significant improvement in operating capacity compared with the conventional tandem double bus stations, and the service level of the main and auxiliary bus stations has been significantly improved.

Bandwidth allocation on VBR source traffic in high capacity ATM link (고용량 ATM 링크에서 VBR 소스트래픽을 위한 대역할당 알고리즘)

  • 김영선;최진규;노승환
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.23 no.8
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    • pp.1899-1906
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    • 1998
  • In ATM switching system link bandwidth is one of the improtant resources. Thus ATM switching system must allocate the bandwidth to the users efficiently and guarantee the QoS. Especially to guarantee the QoS of the VBR traffic source such as video, users must declare the traffic characteristics and QoS expectations using UPC parameters. The CAC can use two multiplexig models in variation to link capacity and connection number. One is loseless multiplexing model; the second is a statistical multiplexing model. The loseless multiplexing model performs best when the number of mutiplexed sources is small, but as the number of multiplexed sources is increase the CAC must use the statistical multiplexing model. In this paper, the statistical multiplexing models are studied, which are suitable for high capacity ATM link on VBR traffic sources. The satistical multiplexing model and the loseless multiplexing model are combined. In statistical model we map the UPC parameters provided by new VBR connection to appropriate source traffic model. In the high capacity ATM link, as the connection number increases, the statical multiplexing gain increases.

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Deep reinforcement learning for base station switching scheme with federated LSTM-based traffic predictions

  • Hyebin Park;Seung Hyun Yoon
    • ETRI Journal
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    • v.46 no.3
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    • pp.379-391
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    • 2024
  • To meet increasing traffic requirements in mobile networks, small base stations (SBSs) are densely deployed, overlapping existing network architecture and increasing system capacity. However, densely deployed SBSs increase energy consumption and interference. Although these problems already exist because of densely deployed SBSs, even more SBSs are needed to meet increasing traffic demands. Hence, base station (BS) switching operations have been used to minimize energy consumption while guaranteeing quality-of-service (QoS) for users. In this study, to optimize energy efficiency, we propose the use of deep reinforcement learning (DRL) to create a BS switching operation strategy with a traffic prediction model. First, a federated long short-term memory (LSTM) model is introduced to predict user traffic demands from user trajectory information. Next, the DRL-based BS switching operation scheme determines the switching operations for the SBSs using the predicted traffic demand. Experimental results confirm that the proposed scheme outperforms existing approaches in terms of energy efficiency, signal-to-interference noise ratio, handover metrics, and prediction performance.

A Dynamic Bandwidth Allocation Scheme for a Multi-spot-beam Satellite System

  • Park, Unhee;Kim, Hee Wook;Oh, Dae Sub;Ku, Bon-Jun
    • ETRI Journal
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    • v.34 no.4
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    • pp.613-616
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    • 2012
  • A multi-spot-beam satellite is an attractive technique for future satellite communications since it can support high data rates by projecting high power density to each spot beam and can reuse a frequency in different cells to increase the total system capacity. In this letter, we propose a resource management technique adjusting the bandwidth of each beam to minimize the difference between the traffic demand and allocated capacity. This represents a reasonable solution for dynamic bandwidth allocation, considering a trade-off between the maximum total capacity and fairness among the spot beams with different traffic demands.

An Efficient Data Traffic Estimation Technique in Defense Information Network through Network Simulation (네트워크 시뮬레이션을 통한 군 통신 정보유통량의 효율적 예측 기법)

  • An, Eun-Kyung;Lee, Seung-Jong
    • Journal of the military operations research society of Korea
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    • v.32 no.1
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    • pp.133-158
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    • 2006
  • The change of information and communications technology affects into many parts of military battlefield as the future warfare will be information-oriented warfare, relying on information technology. The more IT-based military systems are deployed the more multimedia data traffic increase. To accommodate such user's requirements the bandwidth capacity of military communications network must be upgraded. The cost of upgrading network capacity is increasing as well. But there has no systematic estimation approach to analyze the amount of data traffic in the military network. In this paper we suggest an efficient data traffic estimation technique using network simulation with the respect of Input and output, scenario, toolset and technique, and experimental environments.

Changes in air pollutant emissions from road vehicles due to autonomous driving technology: A conceptual modeling approach

  • Hwang, Ha;Song, Chang-Keun
    • Environmental Engineering Research
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    • v.25 no.3
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    • pp.366-373
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    • 2020
  • The autonomous vehicles (AVs) could make a positive or negative impact on reducing mobile emissions. This study investigated the changes of mobile emissions that could be caused by large-scale adoption of AVs. The factors of road capacity increase and speed limit increase impacts were simulated using a conceptual modeling approach that combines a hypothetical speed-emission function and a traffic demand model using a virtual transportation network. The simulation results show that road capacity increase impact is significant in decreasing mobile emissions until the market share of AVs is less than 80%. If the road capacity increases by 100%, the mobile emissions will decrease by about 30%. On the other hand, driving speed limit increase impact is significant in increasing mobile emissions, and the environmentally desirable speed limit was found at around 95 km/h. If the speed limit increases to 140 km/h, the mobile emissions will increase by about 25%. This is because some vehicles begin to bypass the congested routes at high speeds as speed limit increases. Based on the simulation results, it is clear that the vehicle platooning technology implemented at reasonable speed limit is one of the AV technologies that are encouraging from the environmental point of view.