Scipediacontent: Scipediacontent moved page Draft Content 640585714 to Creighton et al 2015a

2021-02-03T15:49:26Z

Scipediacontent moved page Draft Content 640585714 to Creighton et al 2015a

Scipediacontent: Created page with " == Abstract == Traffic signal controlling is one of the solutions to reduce the traffic congestion in cities. To set appropriate green times for traffic signal lights, we..."

2021-02-03T15:49:23Z

Created page with " == Abstract == Traffic signal controlling is one of the solutions to reduce the traffic congestion in cities. To set appropriate green times for traffic signal lights, we..."

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== Abstract ==

Traffic signal controlling is one of the solutions to reduce the traffic congestion in cities. To set appropriate green times for traffic signal lights, we have applied Adaptive Neuro-Fuzzy Inference System (ANFIS) method in traffic signal controllers. ANFIS traffic signal controller is used for controlling traffic congestion of a single intersection with the purpose of minimizing travel delay time. The ANFIS traffic controller is an intelligent controller that learns to set an appropriate green time for each phase of traffic signal lights at the start of the phase and based on the traffic information. The controller uses genetic algorithm to tune ANFIS parameters during learning time. The results of the experiments show higher performance of the ANFIS traffic signal controller compared to three other traffic controllers that are developed as benchmarks. One of the benchmarks is GA-FLC (Araghi et al., 2014), next one is a fixed-FLC, and a fixed-time controller with three different values for green phase. Results show the higher performance of ANFIS controller.

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.5220/0005135001750180 http://dx.doi.org/10.5220/0005135001750180]

* [http://pdfs.semanticscholar.org/8d13/07f03212ac6f2e09db4b91f77990ed2bcebf.pdf http://pdfs.semanticscholar.org/8d13/07f03212ac6f2e09db4b91f77990ed2bcebf.pdf]

* [http://dro.deakin.edu.au/view/DU:30070445 http://dro.deakin.edu.au/view/DU:30070445],
: [http://core.ac.uk/display/33201968 http://core.ac.uk/display/33201968],
: [https://dblp.uni-trier.de/db/conf/ijcci/ijcci2014fcta.html#AraghiKC14 https://dblp.uni-trier.de/db/conf/ijcci/ijcci2014fcta.html#AraghiKC14],
: [https://academic.microsoft.com/#/detail/2090168402 https://academic.microsoft.com/#/detail/2090168402]

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Creighton et al 2015a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 640585714 to Creighton et al 2015a

Scipediacontent: Created page with " == Abstract == Traffic signal controlling is one of the solutions to reduce the traffic congestion in cities. To set appropriate green times for traffic signal lights, we..."