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Intersection Traffic Signal Control based on Traffic Pattern Learning for Repetitive Traffic Congestion
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교통 패턴 학습 기반 반복적 교통 혼잡을 고려한 교차로 신호 제어

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Type
Academic journal
Author
YoungTae Jo (강원대학교) JinSup Choi (강원대학교) InBum Jung (강원대학교)
Journal
Korean Institute of Information Scientists and Engineers Journal of KIISE : Computing Practices and Letters Vol.20 No.8 KCI Accredited Journals
Published
2014.8
Pages
450 - 465 (16page)

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Intersection Traffic Signal Control based on Traffic Pattern Learning for Repetitive Traffic Congestion
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Abstract· Keywords

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Recently, intelligent transportation system (ITS) has been studied for efficient use of road infrastructure. With the advance of transportation systems, traffic signal control methods have been improved from conventional pre-timed signal controls to active strategies that dynamically schedule the traffic signal based on real-time traffic flow. This paper introduces a novel algorithm to minimize average delay and improve throughput for the repetitive traffic congestion that is a critical problem at urban intersections, leading to various problems such as safety reduction, increase of pollution, and so on. In our algorithm, future traffic congestion is estimated using traffic pattern learning based on historical traffic information. We use adjusted correlation coefficient for accurate congestion estimation with previously learned traffic data. To improve the utility of our algorithm, the actuated control is included which has been used widely in real field. In our experiments, the microscopic traffic simulator VISSIM performed our modeling works. The results show that the proposed algorithm has good effect to the intersections struggling with repetitive traffic congestion problems.
#교통 패턴 학습 #다중 교차로 #교차로 신호 제어 #반복적 교통 혼잡 #traffic pattern learning #multiple intersections #traffic signal control #repetitive traffic congestion

Contents

요약
Abstract
1. 서론
2. 관련 연구
3. 교통 패턴의 특징
4. 교차로 신호 제어 방법
5. 성능 평가
6. 결론
References

References (16)

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G. Dimitrakopoulos / 2010 / Intelligent Transport Systems / IEEE Vehicular Technology Magazine 5(1):77~84 google schola A. R. Beresford / 2006 / Intelligent Transportation Systems / Pervasive Computing 5(4):63~67 google schola Y. T. Jo / 2012 / Variable Speed Limit to Improve Safety near Traffic Congestion on Urban Freeways / International Journal of Fuzzy Systems 14(2):278~288 google schola FHWA / 1996 / Traffic Control Systems Handbook google schola Y. K. Chin / 2011 / Q-Learning Based Traffic Optimization in Management of Signal Timing Plan / International Journal of Simulation Systems Science & Technology 12(3):29~35 google schola

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