Signalized fuzzy logic for diamond interchanges incorporating with fuzzy ramp system : a thesis presented in partial fulfilment of the requirements for the degree of Master of Engineering in Mechatronics at Massey University, Auckland, New Zealand
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Date
2009
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Massey University
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Abstract
New dynamic signal control methods such as fuzzy logic and artificial intelligence developed
recently mainly focused on isolated intersection. In this study, a Fuzzy Logic Control for a
Diamond Interchange incorporating with Fuzzy Ramp System (FLDI) has been developed. The
signalization of two closely spaced intersections in a diamond interchange is a complicated
problem that includes both increasing the diamond interchange capacity and reduce delays at the
same time. The model comprises of three main modules. The Fuzzy Phase Timing module
controls the current phase green time extension, the Phase Selection module select the next phase
based on the pre-defined phase sequence or phase logics and the Fuzzy Ramp module
determines the cycle time of the ramp meter bases on current traffic volumes and conditions of
the interchanges and the motorways. The developed FLDI model has been compared with the
traffic actuated simulation with respects to flow rates and the average delays of the vehicles. The
model of an actual diamond interchange is described and simulated by using AIMSUN
(Advanced Interactive Microscopic Simulator for Urban and Non-Urban Network) software.
Simulation results show the FLDI model outperformed the traffic actuated models with lower
system total travel time, average delay and improvements in downstream average speed and
average delay.
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Traffic flow, Traffic intersections, Traffic signs and signals, Traffic control