Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)

Signal Timing for an Isolated Intersection Based on the Two-Stage Fuzzy Logic Controller

Authors
Junjie Lu, Fuyang Chen, Lin Ma
Corresponding Author
Junjie Lu
Available Online June 2018.
DOI
10.2991/eame-18.2018.22How to use a DOI?
Keywords
fuzzy logic controller; signal timing; adaptive membership function; vehicle delay
Abstract

This paper proposes a two-stage fuzzy logic controller for signal timing of an isolated intersection. In the first stage, the main phase is determined in advance, and then the controller determines the secondary phase according to the traffic flow and the queue length. In addition, the membership function is designed to adapt to the changing traffic flow. In the second stage, traffic emergency degree is calculated in real time to adjust the green time. In this case, the traffic arrival rate can be indirectly considered. Finally, the average vehicle delay is used to compare the effectiveness of each signal timing scheme. The simulation result shows that the two-stage fuzzy controller proposed in this paper can achieve good control effect.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
Series
Advances in Engineering Research
Publication Date
June 2018
ISBN
10.2991/eame-18.2018.22
ISSN
2352-5401
DOI
10.2991/eame-18.2018.22How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Junjie Lu
AU  - Fuyang Chen
AU  - Lin Ma
PY  - 2018/06
DA  - 2018/06
TI  - Signal Timing for an Isolated Intersection Based on the Two-Stage Fuzzy Logic Controller
BT  - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
PB  - Atlantis Press
SP  - 111
EP  - 114
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-18.2018.22
DO  - 10.2991/eame-18.2018.22
ID  - Lu2018/06
ER  -