MATLAB simulation of fuzzy traffic controller for multilane isolated intersection.
This paper presents a MATLAB simulation of fuzzy traffic controller for controlling traffic flow at multilane isolated signalized intersection. The controller is developed based on the waiting time and vehicles queue length at current green phase, and vehicles queue lengths at the other phases. Fo...
| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
Engg Journals Publications
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/15563/1/MATLAB%20simulation%20of%20fuzzy%20traffic%20controller%20for%20multilane%20isolated%20intersection.pdf |
| Summary: | This paper presents a MATLAB simulation of fuzzy traffic controller for controlling traffic flow at multilane isolated signalized intersection. The controller is developed based on the waiting time and vehicles queue
length at current green phase, and vehicles queue lengths
at the other phases. For control strategy, the controller
controls the traffic light timings and phase sequence to
ensure smooth flow of traffic with minimal waiting time,
queue length and delay time. In this research, the isolated
intersection model used consists of two lanes in each
approach. Each approach has two different values of
vehicles queue length and waiting time, respectively, at the
intersection. The maximum values of vehicles queue length
and waiting times are selected as the inputs to controller
for optimized control of traffic flows at the intersection. A traffic model and fuzzy traffic controller are developed to evaluate the performance of traffic controllers under
different conditions. In the end, by comparing the
experimental result obtained by the vehicle-actuated
controller (VAC) and fuzzy traffic controller (FTC) which
improves significant performance for intersections, we
confirmed the efficiency of our intelligent controller based
fuzzy inference system. |
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