• Title/Summary/Keyword: signal traffic

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Traffic Sign Recognition by the Variant-Compensation and Circular Tracing (변형 보정과 원형 추적법에 의한 교통 표지판 인식)

  • Lee, Woo-Beom
    • Journal of the Institute of Convergence Signal Processing
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    • v.9 no.3
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    • pp.188-194
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    • 2008
  • We propose the new method for the traffic signs recognition that is one of the DAS(Driving assistance system) in the intelligent vehicle. Our approach estimates a varied degree by using a geometric method from the varied traffic signs in noise, rotation and size, and extracts the recognition symbol from the compensated traffic sign for a recognition by using the sequential color-based clustering. This proposed clustering method classify the traffic sign into the attention, regulation, indication, and auxiliary class. Also, The circular tracing method is used for the final traffic sign recognition. To evaluate the effectiveness of the proposed method, varied traffic signs were built. As a result, The proposed method show that the 95 % recognition rate for a single variation, and 93 % recognition rate for a mixed variation.

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Traffic Control using Q-Learning Algorithm (Q 학습을 이용한 교통 제어 시스템)

  • Zheng, Zhang;Seung, Ji-Hoon;Kim, Tae-Yeong;Chong, Kil-To
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.11
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    • pp.5135-5142
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    • 2011
  • A flexible mechanism is proposed in this paper to improve the dynamic response performance of a traffic flow control system in an urban area. The roads, vehicles, and traffic control systems are all modeled as intelligent systems, wherein a wireless communication network is used as the medium of communication between the vehicles and the roads. The necessary sensor networks are installed in the roads and on the roadside upon which reinforcement learning is adopted as the core algorithm for this mechanism. A traffic policy can be planned online according to the updated situations on the roads, based on all the information from the vehicles and the roads. This improves the flexibility of traffic flow and offers a much more efficient use of the roads over a traditional traffic control system. The optimum intersection signals can be learned automatically online. An intersection control system is studied as an example of the mechanism using Q-learning based algorithm, and simulation results showed that the proposed mechanism can improve the traffic efficiency and the waiting time at the signal light by more than 30% in various conditions compare to the traditional signaling system.

A Comparative Evaluation of Confidence of Vehicle-Dectetor Informations for Real-Time Traffic Signal Control. (실시간신호제어를 위한 차량검지기 정보의 신뢰성 비교평가)

  • 오영태;이철기
    • Journal of Korean Society of Transportation
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    • v.14 no.3
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    • pp.91-125
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    • 1996
  • The purpose of this paper is comparatively to evaluate the confidence of Vehicle-Detector informations for various detectors in order to test to be possible the application of these to real time traffic signal control. The detectors which are tested for this study are Circle-Shaped Loop, Ultrasonic, Microwave and Image detector. The tested items for each detectors are traffic volume, degree of saturation for through and left turn movement, speed and queue length, etc. These items for each are tested at the field according to several situations, such as dry day, raining day, night and daytime. The result of these tests are performed comparative analysis and statistical examination in order to increase the confidence of the experiments.

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Analysis of Distributed DDQ for QoS Router

  • Kim, Ki-Cheon
    • ETRI Journal
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    • v.28 no.1
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    • pp.31-44
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    • 2006
  • In a packet switching network, congestion is unavoidable and affects the quality of real-time traffic with such problems as delay and packet loss. Packet fair queuing (PFQ) algorithms are well-known solutions for quality-of-service (QoS) guarantee by packet scheduling. Our approach is different from previous algorithms in that it uses hardware time achieved by sampling a counter triggered by a periodic clock signal. This clock signal can be provided to all the modules of a routing system to get synchronization. In this architecture, a variant of the PFQ algorithm, called digitized delay queuing (DDQ), can be distributed on many line interface modules. We derive the delay bounds in a single processor system and in a distributed architecture. The definition of traffic contribution improves the simplicity of the mathematical models. The effect of different time between modules in a distributed architecture is the key idea for understanding the delay behavior of a routing system. The number of bins required for the DDQ algorithm is also derived to make the system configuration clear. The analytical models developed in this paper form the basis of improvement and application to a combined input and output queuing (CIOQ) router architecture for a higher speed QoS network.

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Implementation and Application of the SCORM 2004 S&N and the Traffic-Signal-Lamp Metaphor for a Web-based Adaptive Learning Management (웹기반 적응형 학습관리를 위한 SCORM 2004 S&N과 교통신호메타포 구현 및 적용)

  • Bang, Chan-Ho;Kim, Ki-Seok
    • The Journal of Korean Association of Computer Education
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    • v.9 no.1
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    • pp.61-70
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    • 2006
  • In the area of e-learning education, SCORM2004 that is suggested by ADL and is a defacto standard allows to design and apply various interrelations among learning objects which organize learning process through consolidating IMS Simple Sequencing into S&N. In this paper, we intend to realize a web_based adaptive learning management that enable to guide experientially the learning activity through the SCORM 2004 S&N and the Traffic-Signal-Lamp Metaphor. This adaptive system allows professor to design the learning courseware realizing various learning strategies to be able to reuse same learning contents and student to be leaded a adaptive learning through being supplied immediately the state and evaluation of learning.

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A Novel Ramp Method Based on Improved Smoothing Algorithm and Second Recognition for Windshear Detection Using LIDAR

  • Li, Meng;Xu, Jiuzhi;Xiong, Xing-long;Ma, Yuzhao;Zhao, Yifei
    • Current Optics and Photonics
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    • v.2 no.1
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    • pp.7-14
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    • 2018
  • As a sophisticated detection technology, LIDAR has been widely employed to probe low-altitude windshear. Due to the drawbacks of the traditional ramp algorithm, the alarm accuracy of the LIDAR has not been satisfactory. Aiming at settling this matter, a novel method is proposed on the basis of improved signal smoothing and second windshear detection, which essentially acts as a combination of ramp algorithm and segmentation approach, involving the human factor as well as signal fluctuations. Experiments on the real and artificial signals verify our approach.

A Study on the Application Method of All-Red Phase at the Signalized Intersection (신호교차로의 전적신호 적용방법 연구)

  • Woo, Yong-Han;Ryu, Yeong-Geun;Lee, Sang-Hyuk
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.5
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    • pp.29-37
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    • 2017
  • Intersection signal's phase time is calculated and determined by car and pedestrian traffic volume. If signal phase time and traffic volume dis-matched, cars and pedestrians have much delay time. This paper suggested an All-Red phase application method that cars and pedestrians securing safety and minimizing traffic signal waiting time. The key solution of this suggested method is determining All-Red phase operation by using sum of spare green time that have no passing cars. That is, total time of spare green time that have no passing cars is longer than All-Red phase time, operating All-Red phase has an effect. And case study carried out at the signalized intersection, revealed that this suggested method has much effectiveness.

A Study on a Traffic Signal Operation system using complex Sensor (복합 센서를 이용한 교통 신호운영체계에 관한 연구)

  • Hwang, Gui-Youn;Jeong, Yang-Kwon;Choi, Hyung-Ju;Hui, Xue-Wu
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.10
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    • pp.1573-1580
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    • 2013
  • This study is proposed traffic signal operating system to find existing problems of loop system and complex with doplar system, which have strong linearity, resistence of weather effects and wide range to improve delay problems that used in vehicle detection method. This proposed method have simulated on Southern-Gwangju station to Enter of SeoChang take about 10km by using VISSIM tool and we found this proposed method is 15% through(또는 to) 30% more effective than continuous progress interlocking system or crossing progress interlocking system.

Assessment of Bicycle Left-turn Traffic Control Strategies at Signalized Intersections (신호교차로의 자전거 좌회전 운영방안 평가에 관한 연구)

  • Lee, Chung Min;Lee, Sang Soo;Cho, Hanseon;Nam, Doohee
    • Journal of Korean Society of Transportation
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    • v.32 no.6
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    • pp.579-588
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    • 2014
  • In this study, three signal control strategies such as Bike box, Hook-turn, and 6-phase were assessed for various traffic conditions at signalized intersections incorporating bicycle left-turn traffic. Results showed that the size of a waiting zone mainly affected the performance of signal control in both Bike box and Hook-turn. Both Bike box and Hook-turn yielded an identical vehicle delay, but Bike box produced less bicycle delay than Hook-turn by 2.5~29.9 sec/veh for undersaturated traffic conditions. For saturated traffic condition, Bike box produced less vehicle delay than Hook-turn and 6-phase strategies, but bicycle delay was found to increase at the 700 vph of bicycle traffic compared to 6-phase. Bicycle delay was greatly increased under Hook-turn and Bike box strategies when bicycle traffic was greater than 300 vph and 500 vph, respectively. It was also shown that bicycle delay could be significantly reduced by providing appropriate size of queueing space. In addition, Bike box was likely to yield less vehicle and bicycle delay than Hook-turn for traffic volume patterns investigated in this study.

Determination of Optimal Phase Split and Offset for the Synchronization of Traffic Signals in the CBD of Seoul (서울시(市) 신호체제의 적정 phase split 과 연쇄화를 위한 최적 offset)

  • Park, Gyeong-Su
    • Journal of Korean Institute of Industrial Engineers
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    • v.3 no.1
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    • pp.49-53
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    • 1977
  • The coordinated control of the traffic signals of adjacent intersections can reduce delays, relative number of stops and congestions in the coordinated traffic area. The road capacity can be increased to a certain extend because the stopping and starting of vehicles facing red traffic lights can be avoided in many instances due to the progression established along an artery. However, if traffic centers or leaves the main flow in irregular volumes on the intermediate road section, a coordination of traffic signals is unnecessary and may even be harmful. Therefore, a computer simulation model to simulate and predict the effectiveness of a synchronized traffic signal system in the CBD of Seoul was developed and alternative policy variables, such as cycle time, offsets, phase splits, to be fed into the simulation model had to be generated. This is a report of (1) the development of a heuristic algorithm for the determination of phase splits when there are amber periods specifically reserved for left turns and (2) the computerization of time-space diagramming.

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