Multi-intersection Signal Control based on Traffic PatternLearning

Journal Title: American journal of Engineering Research - Year 2018, Vol 7, Issue 8

Abstract

Based on the conversion of IT and traffic area, the intelligent traffic system is spotlighted on urban traffic control fields. To address the inefficiency of fixed traffic signal control method, actuated signal control method is introduced and slightly improves the traffic congestion problem. However, since the current actuated signal method deals with only the single intersection, it has limited applicability in urban downtown environment with severe variation in traffic flow. In this paper, a new traffic signal control method is proposed for the multiple intersections of urban traffic environment. The proposed method is composed of traffic pattern learning, searching for congested areas, and the control of multiple intersections. The interlocked functions of these components alleviate the traffic congestion problem as soon as possible. In particular, as the learning of traffic pattern is accumulated, the optimal signal control in various traffic conditions can be produced. To prove the efficiency of signal traffic methods, the proposed method and other previous signal control methods are evaluated on microscopic simulator.

Authors and Affiliations

Jinseop Choi

Keywords

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  • EP ID EP398166
  • DOI -
  • Views 84
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How To Cite

Jinseop Choi (2018). Multi-intersection Signal Control based on Traffic PatternLearning. American journal of Engineering Research, 7(8), 26-33. https://europub.co.uk/articles/-A-398166