Freeway ramp control algorithm based on neurofuzzy networks

CHEN De-wang; WANG Fei-yue; CHEN Long

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CHEN De-wang, WANG Fei-yue, CHEN Long. Freeway ramp control algorithm based on neurofuzzy networks[J]. Journal of Traffic and Transportation Engineering, 2003, 3(2): 100-105.

Citation:

CHEN De-wang, WANG Fei-yue, CHEN Long. Freeway ramp control algorithm based on neurofuzzy networks[J]. Journal of Traffic and Transportation Engineering, 2003, 3(2): 100-105.

CHEN De-wang, WANG Fei-yue, CHEN Long. Freeway ramp control algorithm based on neurofuzzy networks[J]. Journal of Traffic and Transportation Engineering, 2003, 3(2): 100-105.

Citation:

CHEN De-wang, WANG Fei-yue, CHEN Long. Freeway ramp control algorithm based on neurofuzzy networks[J]. Journal of Traffic and Transportation Engineering, 2003, 3(2): 100-105.

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Freeway ramp control algorithm based on neurofuzzy networks

1.
Institute of Automation, China Academy of Science, Beijing 100080, China
2.
Department of Systems and Industrial Engineering, Arizona University, Tucson, Arizona, US

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Author Bio:
CHEN De-wang(1976-), male, doctoral student, 86-10-62554288, dewang.chen@mail.ia.ac.cn
Received Date: 2002-11-27
Publish Date: 2003-04-25

Abstract

Abstract

The mathematical model for the ramp control was developed. Based on this model, the fuzzy control was combined with neural network to realize the intelligent control. The simulation for this algorithm was carried out. The results show that this algorithm is always effective; it can maintain the mainline traffic flow desity in a desired value and restrain the length of queue at the on-ramp; it is better than the classic feedback algorithm ALINEA.
- freeway,
- ramp control,
- neurofuzzy network,
- simulation

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References(10)

References

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