مشاهده مشخصات مقاله
Adaptive and Cooperative Multi-Agent Fuzzy System Architecture
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نویسنده (ها) |
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Fatemeh Daneshfar
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Fardin Akhlaghian
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Fathollah Mansoori
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مربوط به کنفرانس |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
The traffic congestion problem in urban areas is
worsening since traditional traffic signal control systems
cannot provide efficient traffic control. Therefore, dynamic
traffic signal control in Intelligent Transportation System
(ITS) recently has received increasing attention. This study
devised an adaptive and cooperative multi-agent fuzzy system
for a decentralized traffic signal control. To achieve this goal
we have worked on a model, which has three levels of control.
Every intersection is controlled by its own traffic situation, its
neighboring intersections recommendations and a knowledge
base, which provides the traffic pattern of each intersection in
any particular day of the week and hour of the day. The
proposed architecture comprises a knowledge base, prediction
module and a traffic observer that provide data to real traffic
data preparation module, then a decision-making layer takes
decision to how long should the intersection green light be
extended. The proposed architecture can achieve dynamic
traffic signal control. We have also developed a NetLogobased
traffic simulator to serve as the agents’ world. Our
approach is tested with traffic control of a large connected
junction and the result obtained is promising; The average
delay time can be reduced by 21.76% compared to the
conventional fixed sequence traffic signal and 14.77%
compared to the vehicle actuated traffic signal control
strategy. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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