• Title/Summary/Keyword: Intelligent Signal Control

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Development of Traffic Signal Operation Strategies On Median Bus Lane (중앙버스전용차로제 실시에 따른 신호운영 방안 연구)

  • Kim Gyun-Jo;Kim Young-Chan;Kim Jin-Tae;Jung Kwang-Bok
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.5 no.1 s.9
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    • pp.21-30
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    • 2006
  • For urban highway network, traffic control strategy paradigm has been shifted from the private auto-oriented to the public transit-oriented. Introduction of exclusive median bus lanes (EMBL) in Seoul, Korea, has especially accelerated such changes in transportation policy and thus highway environment. Left-turning movement treatment at signalized intersections where EMBL pass through has been emerged as one of the rising problems associated with a current signal head with 4-signal lens, the Korea standard. This study proposes a new signal phase operation scheme for signal operation at an isolated intersection where EMBL pass through. The authors propose to use of an exclusive bus signal head indicating right-of-way of transits on EMBL only. Based on it, three different phase operation scheme were developed for left-turn treatments for traffic control with (1) traffic responsive control mode and (2) time-of-day traffic control mode. In addition, methodologies to design and develop signal maps for the proposed signal phase schemes are also developed. The proposed operation can only be possible when additional uses of signal state relay boards are allowed.

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An Efficient Lighting Control System Design for LSDM Control on AVR (AVR 기반의 LSDM 제어를 위한 효율적인 점등제어 시스템 설계)

  • Hong, Sung-Il;Lin, Chi-Ho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.11 no.5
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    • pp.116-124
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    • 2012
  • In this paper, we propose an efficient lighting control system design for AVR based LSDM control. This paper, an efficient lighting control system design for LSDM control be design divided as the signal control part for I/O data bus and the timer/counter part for clock signal control according to operating conditions. LSDM control logic be optimization to PORTx and DDRx register by specifying the logical value of each bit for effective control signal processing. And, the LSDM control signal by lighting control program execution of ATmega128 be designed to be LSDM lighting control by control logic operating. In this paper, a proposed lighting control system were measured to power loss rate to proved the power loss reduction about lighting status of LSDM control logic by download the lighting control program to system through serial from host PC. As a measurement result, a proposed lighting control system than the existing lighting control system were proved to be effective to the overall power consumption reduction.

Intelligent Predictive Control of Time-Varying Dynamic Systems with Unknown Structures Using Neural Networks (신경회로망에 의한 미지의 구조를 가진 시변동적시스템의 지능적 예측제어)

  • Oh, S.J
    • Journal of Advanced Marine Engineering and Technology
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    • v.20 no.3
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    • pp.286-286
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    • 1996
  • A neural predictive tracking system for the control of structure-unknown dynamic system is presented. The control system comprises a neural network modelling mechanism for the the forward and inverse dynamics of a plant to be controlled, a feedforward controller, feedback controller, and an error prediction mechanism. The feedforward controller, a neural network model of the inverse dynamics, generates feedforward control signal to the plant. The feedback control signal is produced by the error prediction mechanism. The error predictor adopts the neural network models of the forward and inverse dynamics. Simulation results are presented to demonstrate the applicability of the proposed scheme to predictive tracking control problems.

Intelligent Predictive Control of Time-Varying Dynamic Systems with Unknown Structures Using Neural Networks (신경회로망에 의한 미지의 구조를 가진 시변동적시스템의 지능적 예측제어)

  • Oh, Se-Joon
    • Journal of Advanced Marine Engineering and Technology
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    • v.20 no.3
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    • pp.154-161
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    • 1996
  • A neural predictive tracking system for the control of structure-unknown dynamic system is presented. The control system comprises a neural network modelling mechanism for the the forward and inverse dynamics of a plant to be controlled, a feedforward controller, feedback controller, and an error prediction mechanism. The feedforward controller, a neural network model of the inverse dynamics, generates feedforward control signal to the plant. The feedback control signal is produced by the error prediction mechanism. The error predictor adopts the neural network models of the forward and inverse dynamics. Simulation results are presented to demonstrate the applicability of the proposed scheme to predictive tracking control problems.

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Wireless Traffic Light using Artificial Intelligence

  • Hong, You-Sik;Kim, Chong-Soo;Kim, Chang-Kyun
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.3 no.2
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    • pp.251-257
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    • 2003
  • In this paper, we wish to construct a optimal traffic cycle using wire remote control. if police vehicle or ambulance suddenly enter the traffic Intersection, it will increase the traffic accident. In this paper, wireless traffic light use the radio traffic control signal and research about the hardware manufacture to check special detectors on urgency vehicles may safety and rapidly enter traffic intersection. Also, this paper present a traffic signal control conditions that analyzes different traffic intersection flows in cases of saturated flows, where the real traffic volume demand is large and the capacity constraints of bottlenecks have significant effects on the flow patterns. Through computer simulation this wireless traffic light has been proven to be much more safety and efficient than fixed traffic signal light which does not consider emergency vehicles for safety escort.

Implementation of Novel Automatic Gain Control in Vehicular Environments (차량통신환경에서의 자동이득제어기법 적용)

  • Cho, Woong;Oh, Hyun-Seo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.10 no.4
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    • pp.100-106
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    • 2011
  • Radio Frequency (RF) signal fluctuates dynamically in wireless communication environments, where this fluctuation is severe especially in vehicular environments. Automatic Gain Control (AGC) is critical in wireless communications to establish reliable communication links and compensate the received signal fluctuation. In this paper, we introduce a simple and novel AGC scheme which uses both Received Signal Strength Indicator (RSSI) and analog-to digital converter (ADC) signals. Performance enhancement of the proposed AGC scheme is verified with practical measurements including simulations.

Development of High Performance LonWorks Fieldbus Control Modules for Network-based Induction Motor Control (네트워크 기반 유도전동기 제어를 위한 고성능 LonWorks 제어모듈 개발)

  • Kim, Jung-Gon;Hong, Won-Pyo
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2005.05a
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    • pp.319-324
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    • 2005
  • The interface between host processor and the ShortStack Micro Server may be a Serial Communication Interface(SCI). The LonWorks control module with a high performance is developed, which is composed of the 8 bit PIC Microprocessor for host processor and the smart neuron chip for the ShoretStack Micro Server. This intelligent control board is verified as proceeding the various function tests from experimental system with an boost pump and inverter driving systems. It is also confirmed that the developed control module provides stably 0-10VDC linear signal to the input signal of inverter driving system for varying the induction motor speed. Thus, the experimental results show that the fabricating intelligent board carried out very well the various functions in the wide operating ranges of boost pump system. This developed control module expect to apply to industrial fields to require the comparatively exact control and monitoring such as multi-motor driving system with inverter, variable air volume system and the boost pump water supply systems.

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Fine Feature Sensing and Restoration by Tactile Examination of PVDF Sensor

  • Yoon, Seong-Sik;Kang, Sung-Chul;Lee, Woo-Sub;Choi, Hyouk-Ryeol;Oh, Sang-Rok
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.942-947
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    • 2003
  • An important signal processing problem in PVDF sensor is the restoration of surface information from electric sensing signals. The objectives of this research are to design a new texture sensing system and to develop a new signal processing algorithm for signals from the sensor to be tangibly displayed by tangible interface systems. The texture sensing system is designed to get surface information with high resolution and dynamic range. First, a PVDF sensor is made of piezoelectric polymer (polyvinylidene fluoride) strips molded in a silicon rubber and attached in a rigid cylinder body. The sensor is mounted to a scanning system for dynamic sensing. Secondly, a new signal processing algorithm is developed to restore surface information. The algorithm consists of the two-dimensional modeling of the sensor using an identification method and inverse filtering from sensing signals into estimated surface information. Finally the two-dimensional surface information can be experimentally reconstructed from sensing signals using the developed signal processing algorithm.

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Robust Sliding Mode Controller Design for the Line-of-Sight Stabilization

  • Kim, Moon-Sik;Yun, Jung-Joo;Yoo, Gi-Sung;Lee, Min-Cheol
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.614-619
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    • 2004
  • The line-of-sight (LOS) stabilization system is a precision electro-mechanical gimbals assembly for rejecting vibration to isolate the load from its environment and point toward the target in a desired direction. This paper describes the design of gimbals system to reject the disturbance and to improve stabilization. To generate movement commands for the actuators in the stabilization system, the control system uses a sensor of angular rotation. The controller is a DSP with transducer and actuator interfaces. Unknown parameters of the gimbals are estimated using the signal compression method. The cross-correlation coefficient between the impulse response from the assumed model and the one from model of the gimbals is used to obtain the better estimation. And SMCPE (sliding mode control with perturbation estimation) is used to control the gimbals. SMCPE provides robustness of the control against the modeling deficiencies and unknown disturbances. In order to compare the performance of SMCPE with the classical SMC, a sample test result is presented.

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