• Title/Summary/Keyword: Traffic flow control

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A NUMERICAL STUDY OF THE VENTILATION AND FIRE SIMULATION IN A ROAD TUNNEL (도로터널 환기/제연 시스템 시뮬레이션)

  • Park, Jong-Tack;Won, Chan-Shik;Hur, Nahm-Keon;Cha, Cheol-Hyun
    • Journal of computational fluids engineering
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    • v.11 no.4 s.35
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    • pp.20-25
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    • 2006
  • In the present study, flow characteristics inside a road tunnel are simulated for the ventilation flows due to jet fan system and flows induces by the traffic. Traffic ventilation is numerically simulated by multiple reference frame. From the results of steady state simulation of tunnel ventilation, it is found that the proper ventilation is achieved by the designed jet fan system along with ventilating flow induced by the traffic. A transient simulation is also performed for the case of vehicle fire in the tunnel reversing the direction of rotation of some fans. The results suggest that the heat and smoke can be controlled by the proper changing of fan operation mode. The present results can be used to design proper ventilation system and effective smoke control system as well.

A study on the connection admission control algorithm using dynamic bandwidth allocation in ATM network (ATM 망에서 동적대역폭 할당에 의한 연결수락제어 알고리즘에 관한 연구)

  • 신승호
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.20 no.41
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    • pp.51-60
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    • 1997
  • In this paper, A Connection Admission Control(CAC) algorithm by Dynamic Bandwidth Allocation is proposed. The B-ISDN will be required to carry traffic generated by a various traffic sources. These source will have all traffic flow characteristics and quality of services requirements. When a connectionless message with burstiness arrives at a node during a renewal period, CAC will be dynamically determined connection request by using the predetermined connection admission bounds in estimating the number of input arriving cells. The proposed algorithm estimates the available bandwidth by observing cell streams of the aggregate traffic. A connection request is accepted if the available bandwidth is larger than declared peak rate, and otherwise rejected. The proposed CAC scheme is shown to be promising and practically feasible in obtaining efficient transmission of burst traffic with guaranteed quality of services.

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A New Traffic Load Shedding Scheme in Microcellular CDMA with Uniform and Non-uniform Traffic Load

  • Park, Woo-Goo;Rhee, Ja-Gan;Lee, Hu;Lee, Sang-Ho
    • Journal of Electrical Engineering and information Science
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    • v.2 no.5
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    • pp.33-39
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    • 1997
  • In this paper we proposed a new traffic load shedding scheme which maximizes the throughput of traffic control by decreasing the load of the hot-spot cell using minimum load cell selection (MLCS) algorithm and deployed control flow of calls to define characteristic for hadoff region. we compared the performance of the random shedding approach with that of the proposed algorithm. The results of simulation show that MLCS algorithm minimizes the cal blocking rate under a high-density traffic compared to the random shedding scheme.

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A Priority Signal Control Strategy for Vulnerable Considering Traffic Flow - Focusing on crosswalks in coordinated arterial sections - (교통흐름을 고려한 교통약자 우선신호 운영방안 연구 -연동화 가로구간내 횡단보도를 대상으로-)

  • Ryu, Junil;Kim, Wonchul;Kim, Hyoungchul
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.13 no.4
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    • pp.12-19
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    • 2014
  • A signal plan focused on vehicle traffic could easily overlook vulnerable priority signals, although the importance of vulnerable movements is increasingly recognized in recent years. Especially, the vulnerable are sometimes faced with dangerous situations when crossing roads with a signal plan based on design values of average, non-vulnerable persons. This study is focused on how to minimize the vehicle delay while simultaneously considering traffic flow and providing traffic safety by increasing road crossing time for pedestrians. For this purpose, a priority signal control strategy for the vulnerable, considering vehicle traffic flow, has been tested. Practical implication and a microscopic computer simulation has shown that the proposed method could provide a small decrease (about 6.2%) in pedestrian delay, a small increase (about 8.5~13.3%) in travel speed of passing traffic, and a considerable decrease (16.2~26.9%) in vehicle travel time. These findings suggest that the proposed signal control strategy could increase pedestrian safety and diminish delay of vehicle travel.

A Study on Priority Allocation Algorithm According to Air Traffic in Aeronautical Communication Environment (항공이동통신환경에서 항공교통량에 따른 우선순위 할당 알고리즘에 관한 연구)

  • Jo, Yun-Hyun;Kim, Yong-Kyun;Kim, Sang-Uk;Park, Hyo-Dal
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.9 no.1
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    • pp.91-100
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    • 2010
  • According to the recent increase in air traffic a more efficient air traffic flow control is required. This paper proposes the algorithm for efficient air traffic flow control. Aeronautical communication environment is different from the common communication environment since it needs a direct communication between stations (or airplanes) and requires a strict priority for safety message. Moreover, the wide area for basic service causes high propagation delay. In this paper, by using existing CSMA/CA Media Access Control (MAC) protocol, we set the message priorities according to air traffic condition (congestion airport area, approach control area, En route area, and ocean area). This prioritization scheme enables the data transmission with higher access probability. Simulation results confirm that our protocol shows better performance in terms of channel efficiency and success probability compared to exisiting CSMA/CA protocol.

Development of Traffic Congestion Prediction Module Using Vehicle Detection System for Intelligent Transportation System (ITS를 위한 차량검지시스템을 기반으로 한 교통 정체 예측 모듈 개발)

  • Sin, Won-Sik;Oh, Se-Do;Kim, Young-Jin
    • IE interfaces
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    • v.23 no.4
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    • pp.349-356
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    • 2010
  • The role of Intelligent Transportation System (ITS) is to efficiently manipulate the traffic flow and reduce the cost in logistics by using the state of the art technologies which combine telecommunication, sensor, and control technology. Especially, the hardware part of ITS is rapidly adapting to the up-to-date techniques in GPS and telematics to provide essential raw data to the controllers. However, the software part of ITS needs more sophisticated techniques to take care of vast amount of on-line data to be analyzed by the controller for their decision makings. In this paper, the authors develop a traffic congestion prediction model based on several different parameters from the sensory data captured in the Vehicle Detection System (VDS). This model uses the neural network technology in analyzing the traffic flow and predicting the traffic congestion in the designated area. This model also validates the results by analyzing the errors between actual traffic data and prediction program.

Flow Control Algorithm for ABR Service in VS/VD Switch (VS/VD스위치의 ABR 서비스 향상을 위한 흐름 제어 알고리즘)

  • 정광일;온종렬;전병실
    • The Journal of the Acoustical Society of Korea
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    • v.18 no.6
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    • pp.65-70
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    • 1999
  • In ATM network there exist several traffics according to QoS, such as CBR, rt-VBR, nrt-VBR, UBR, and ABR. Many studies have done at the traffic management of ABR which uses the unused network bandwidth. Many flow control mechanisms have proposed to use efficiently the unused bandwidth. In TMWG(Traffic Management Working Group) of ATM Forum, there exist rate-based, credit-based, and mixture of them to manage flow control of ABR traffic. Among these, rate-based mechanisms adopted as standard because it is flexible and also makes it possible to implement ATM switch with low price and high capacity. In this paper, we study the switch that uses EFCI, ER and VS/VD(Virtual Source/Virtual Destination) with rate-based mechanism. Instead of using queue threshold, we propose a new algorithm which uses bandwidth threshold of input stage of switch, and manages efficiently ABR traffic with EPRCA algorithm.

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A Study on UAM Traffic Management System Development Trends and Concept Design (UAM 교통관제시스템 개발 동향 및 설계 개념 연구)

  • Changhwan Heo;Kwangchun Kang;Heungkuen Yoon
    • Journal of Information Technology Applications and Management
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    • v.30 no.6
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    • pp.81-90
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    • 2023
  • In aviation, with the rapid transformation of the mobility industry, UAMs are emerging to operate green low-altitude airspace in urban environments. In order for UAM aircraft to fly safely transporting passengers and cargo in low-altitude urban airspace, a traffic control system that supports the safe operation of the aircraft is essential. In particular, traffic control systems that reflect the characteristics of the flight environment, such as operating at low altitude in urban environments for a short period of time, are required. In this study, we define the definition of UATM and its main services that perform traffic control for the safe operation of UAMs. In addition, we analyzed the development trends of UATM systems based on domestic and overseas cases. Based on these analyses, we present the results of the concept design of the UATM system. After analyzing UATM development cases, we found that there is no commercialized UATM system, but overseas development is focused on systems that can integrate ATM and UTM. And we identified key stakeholders and interface data, and performed UATM system architecture and functional design based on the identified data. Finally, as a necessary element for the future development of UATM systems, we propose the establishment and advancement of UAM traffic flow management systems, the establishment of integrated control systems, and the development of interface with aircraft operation systems in preparation for the unmanned UAM aircraft.

Reinforcement Learning-Based Adaptive Traffic Signal Control considering Vehicles and Pedestrians in Intersection (차량과 보행자를 고려한 강화학습 기반 적응형 교차로 신호제어 연구)

  • Jong-Min Kim;Sun-Yong Kim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.1
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    • pp.143-148
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    • 2024
  • Traffic congestion has caused issues in various forms such as the environment and economy. Recently, an intelligent transport system (ITS) using artificial intelligence (AI) has been focused so as to alleviate the traffic congestion problem. In this paper, we propose a reinforcement learning-based traffic signal control algorithm that can smooth the flow of traffic while reducing discomfort levels of drivers and pedestrians. By applying the proposed algorithm, it was confirmed that the discomfort levels of drivers and pedestrians can be significantly reduced compared to the existing fixed signal control system, and that the performance gap increases as the number of roads at the intersection increases.