cqu_5580+ATTACHMENT02+ATTACHMENT02.4.pdf (133.57 kB)
Download file

Hierarchical fuzzy logic control for multiphase traffic intersection using evolutionary algorithms

Download (133.57 kB)
conference contribution
posted on 06.12.2017, 00:00 by Yi HuYi Hu, Andrew ChiouAndrew Chiou, Qing-Long HanQing-Long Han
Abstract - In this paper, a hierarchical fuzzy logic traffic controller is constructed for a real intersection of fourteen vehicle lanes and two pedestrian crossings controlled by signals with seven light phases. The hierarchical fuzzy controller has seven inputs as queue lengths of the seven light phases, and one output as green time of the selected phase. In the hierarchical fuzzy controller, there are six layers of fuzzy sub-controllers with two inputs and one output. The sub-controllers in the first five layers have identical structure that has two inputs of queue lengths and one output of combined queue length employed as one input of next layer. The sub-controller in the last layer has two inputs, combined queue length obtained from the fifth layer and queue length of the selected phase, and one output as green time of the selected phase. Using the developed fuzzy controller,the best fuzzy rule base is obtained based on real traffic data of the intersection by employing evolutionary algorithm. The performance of this controller is simulated and compared to that of a controller that is currently employing in the intersection.The results show that the developed fuzzy controller shortens more than 38% of the vehicle waiting time.

History

Start Page

1348

End Page

1353

Number of Pages

6

Start Date

01/01/2009

ISBN-13

9781424435074

Location

Victoria, Australia

Publisher

IEEE

Place of Publication

Melbourne, Victoria

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Faculty of Business and Informatics; Not affiliated to a Research Institute;

Era Eligible

Yes

Name of Conference

IEEE International Conference on Industrial Technology

Usage metrics

Exports