• Title/Summary/Keyword: real-time traffic

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Packet Scheduling Algorithm Considering Maximum Delay Tolerance for HSDPA System

  • Hur, Soojung;Jakhongil, Narzullaev;Park, Yong-Wan
    • IEMEK Journal of Embedded Systems and Applications
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    • v.8 no.6
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    • pp.311-318
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    • 2013
  • In this paper, we consider a new packet scheduling algorithm for real-time traffic in the HSDPA system that has been introduced for the WCDMA system, in order to provide high transmission rates. The objective of the design is to meet the maximum tolerable delay and consider channel assignment based on the received SIR for real-time traffic users. The proposed scheduling algorithm shows that the users are ranked by the ratios of the bits in the buffer to the residual time for transmission as priority order; then the ranked users are assigned certain number of channels based on the SIR value table. The simulation results show that the proposed algorithm can provide a lower packet drop rate, and satisfy real time quality of service (QoS) requirements.

QoS-Sensitive Admission Policy for Non-Real Time Data Packets in Voice/Data CDMA Systems (음성/데이터 CDMA 시스템에서의 서비스 품질을 고려한 비 실시간 데이터 패킷 전송 제어 정책)

  • Seungjae Bahng;Insoo Koo;Jeongrok Yang;Kim, Kiseon
    • Proceedings of the IEEK Conference
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    • 1999.11a
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    • pp.125-128
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    • 1999
  • In this paper, we propose a QoS-sensitive admission threshold method for the transmission of the non-real tine data packet such that the quality of services for both voice and data traffics are maintained to a required level. By detecting the active voice traffic during the current time slot, the non-real-time data packets are transmitted up to an admission threshold level during the next time slot. We found out that the optimum admission threshold is four voice traffic resources lower from the maximum allowable threshold to maintain the outage probability within 1% when the connected voice users are 15.

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Construction Method of Time-dependent Origin-Destination Traffic Flow for Expressway Corridor Using Individual Real Trip Data (실제 통행기록 자료를 활용한 고속도로 Corridor 시간대별 O-D 구축)

  • Yu, Jeong Whon;Lee, Mu Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.2D
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    • pp.185-192
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    • 2011
  • More practical outputs and insights can be obtained through transportation analysis considering the time-dependent traffic movements. This study proposes a method of constructing time-dependent O-D trip tables for expressway corridor using real-world individual trip data. In this study, time-dependent O-D trip tables for the nationwide highway network are constructed based on toll collection system data. The proposed methodology is to convert nationwide time-dependent O-D trip tables into Korean expressway corridor O-D trip tables in order to deal with the computational complexity arising from simulating a large-scale traffic network. The experiment results suggest that actual individual trip record data can be used to effectively construct time-dependent O-D trip tables. They also imply that the construction of time-dependent O-D trip tables for the national highway networks along with those for Korean expressway developed in this study would make transportation analysis more practical and applicable to real-time traffic operation and control.

A Study of Travel Time Prediction using K-Nearest Neighborhood Method (K 최대근접이웃 방법을 이용한 통행시간 예측에 대한 연구)

  • Lim, Sung-Han;Lee, Hyang-Mi;Park, Seong-Lyong;Heo, Tae-Young
    • The Korean Journal of Applied Statistics
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    • v.26 no.5
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    • pp.835-845
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    • 2013
  • Travel-time is considered the most typical and preferred traffic information for intelligent transportation systems(ITS). This paper proposes a real-time travel-time prediction method for a national highway. In this paper, the K-nearest neighbor(KNN) method is used for travel time prediction. The KNN method (a nonparametric method) is appropriate for a real-time traffic management system because the method needs no additional assumptions or parameter calibration. The performances of various models are compared based on mean absolute percentage error(MAPE) and coefficient of variation(CV). In real application, the analysis of real traffic data collected from Korean national highways indicates that the proposed model outperforms other prediction models such as the historical average model and the Kalman filter model. It is expected to improve travel-time reliability by flexibly using travel-time from the proposed model with travel-time from the interval detectors.

Design Factors of Communication Channel for Real Time Service (실시간 서비스를 위한 채널의 설계 요소)

  • Choe, Young-Han;Kim, Jang-Kyung;Jang, Woong;Chin, Byong-Moon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.2 no.3
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    • pp.401-408
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    • 1998
  • Recently there comes out various applications on real time control, audio/video conference, medical image and so on. These applications request certain Quality of Service(QoS) to their underlying communication subsystem. In these cases those communication subsystems should provide real time communication service on their QoS request as well as good performance to maintain best effort traffic. In this paper firstly we briefly look over bandwidth, traffic parameters on point to point network secondly we analyze on real time channel and propose design factors in real time channel protocol for multimedia applications.

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Design of An Abstraction Technique of Road Network for Adapting Dynamic Traffic Information (동적 교통 정보를 적용하기 위한 도로망 추상화기법의 설계)

  • Kim, Ji-Soo;Lee, Ji-wan;Cho, Dae-Soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.199-202
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    • 2009
  • The optimal path on real road network has been changed by traffic flow of roads frequently. Therefore a path finding system to find the optimal path on real network should consider traffic flow of roads that is changed on real time. The most of existing path finding methods do not consider traffic flow of roads and do not also perform efficiently if they use traffic information. In this paper, we propose an abstraction method of real road network based on the Terminal Based Navigation System (TBNS) with technique such as TPEG. TBNS can be able to provides quality of path better than before as using traffic information that is transferred by TPEG. The proposed method is to abstract real network as simple graph in order to use traffic information. It is composed boundary nodes based on real nodes, all boundary nodes that have the same of connection are merged together. The result of path finding on an abstract graph diminishes the search space.

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Systematic Transmission Method of Industrial IEEE 802.15.4 for Real-time Mixed Traffic (실시간 혼합 트래픽 전송을 위한 산업용 IEEE 802.15.4 망의 체계적 전송 기법)

  • Kim, Dong-Sung;Lee, Jung-Il
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.45 no.6
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    • pp.18-26
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    • 2008
  • In this paper, dynamic GTS scheduling method based on IEEE 802.15.4 is proposed for wireless control system considering reliability and real-time property. The proposed methods can guarantee a transmission of real-time periodic and sporadic data within the limited time frame in factory environment. The superframe of IEEE 802.15.4 is used for the dynamic transmission method of real-time mixed traffic (periodic data, sporadic data, and non real-time message). By separating CFP and CAP properly, the periodic, sporadic, and non real-time messages are transmitted effectively and guarantee real-time transmission within a deadline. The simulation results show the improvement of real-time performance of periodic and sporadic data at the same time.

Establishment of Bus Priority Signal in Real-Time Traffic Signal Control (실시간신호제어시스템에서의 버스우선신호 알고리즘 정립 (중앙버스 전용차로를 대상으로))

  • Han, Myeong-Ju;Lee, Yeong-In
    • Journal of Korean Society of Transportation
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    • v.24 no.7 s.93
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    • pp.101-114
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    • 2006
  • Recently due to the increase of cars and city life, the traffic congestion has worsened. It Is particularly worse in the center of the metropolis. Within the general public means, the public transport buses have the advantage of being more cheap, accessible and mobile. But as there is no separate lane for buses, the collision of cars and buses are creating damage to public service. In order to solve this situation, the bus priority signal system has been introduced to reduce the bus travel time and improve its services. The purpose of this study is to establish bus priority signal algorithm which builds bus efficiency under the real-time traffic signal control system and to analyze the effect of it. As the green time was calculated against real time (under the real-time traffic signal control system), compared to existing bus priority signal there was a reduction in cross street loss. The modified cycle was used to maintain signal progression. A case study was carried out using VISSIM simulation model. In result of this study, we found that there was a decrease in bus travel time despite some evidence of car delays and compared to existing bus priority signal the delay of dishonor could be reduced dramatically. The analysed result of person delay using MOE, is that there is evidence that when bus priority signal is in effect, the person delay is reduced.

A Study on the Prediction of Traffic Volume on Highway by the Reference Day of Archived Data (이력자료 참조일수에 따른 고속도로 교통량 예측에 관한 연구)

  • Lee, So-Yeon;Jung, So-Yeon
    • Journal of the Society of Disaster Information
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    • v.14 no.2
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    • pp.230-237
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    • 2018
  • Purpose: In Korea, traffic information is collected in real time as part of Intelligent Transportation System to enhance efficiency of road operation. However, traffic information based on real-time data is different from the traffic situation the driver will experience. Method: In this study, forecasts were made for future highway traffic by day and time period by adjusting the Archived data reference days to 3, 5 and 10 days based on existing traffic Archived data. Results: Fewer days of reference in the past showed smaller errors. The prediction of Monday based on five past histories showed greater errors than the 10 past histories, as the traffic flow on the sixth Monday of 2016 was somewhat different from the usual holiday. Conclution: This study shows that less of the reference days of the past history when estimating traffic volume, the more accurate the data of the traffic history of the event can be used on special days.

Traffic Sign Detection Using The HSI Eigen-color model and Invariant Moments (HSI 고유칼라 모델과 불변 모멘트를 이용한 교통 표지판 검출 방법)

  • Kim, Jong-Bae;Park, Jung-Ho
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.1
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    • pp.41-51
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    • 2010
  • In the research for driver assistance systems, traffic sign information to the driver must be a very important information. Therefore, the detection system of traffic signs located on the road should be able to handel real-time. To detect the traffic signs, color and shape of traffic signs is to use the information after images obtained using the CCD camera. In the road environment, however, using color information to detect traffic sings will cause many problems due to changes of weather and environmental factors. In this paper, to solve it, the candidate traffic sign regions are detected from road images obtained in a variety of the illumination changes using the HSI eign-color model. And then, using the invariant moment-based SVM classifier to detect traffic signs are proposed. Experimental results show that, traffic sign detection rate is 91%, and the processing time per frame is 0.38sec. Proposed method is useful for real-time intelligent traffic guidance systems can be applied.