The week's pick
Reseach Article
An Intersection Traffic Signal Controller Optimized by a Genetic Algorithm
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 40 |
| Year of Publication: 2020 |
| Authors: Nator Junior Carvalho Da Costa, Jose E. B. Maia |
10.5120/ijca2020920521
|
Nator Junior Carvalho Da Costa, Jose E. B. Maia . An Intersection Traffic Signal Controller Optimized by a Genetic Algorithm. International Journal of Computer Applications. 176, 40 ( Jul 2020), 9-13. DOI=10.5120/ijca2020920521
Abstract
This work addresses the design of actuated traffic controllers, optimized by Genetic Algorithm (GA). The type of sensing used in traffic lanes is a decisive feature for the practical applicability of these controllers due to their complexity and cost, and those based on the measurement of the queue length are the most effective controllers. Sensing the queue length is complex and image-based sensing is typically suggested. The distinguishing feature of this project is that it is based on a binary presence sensor, so technology as simple as an inductive loop can be used. The performance of the controller is evaluated by simulation and the results show that there is only a tolerable reduction in performance when compared to controllers that take queue lengths as inputs.
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