Multi-Agent Collaborative Control Method of Ramps Based on Fuzzy Neural Network
- DOI
- 10.2991/cmfe-15.2015.135How to use a DOI?
- Keywords
- expressway; cooperative control; ramp metering; fuzzy neural network; multi-agent
- Abstract
In order to improve the growing serious traffic congestion on the junction of freeway and expressway (junction of road network in short), starting from the on-ramp metering, considering the main line and its on-ramp control requirements, the multi-agent collaborative was introduced. And the relativity of different segments of junction of road network was analyzed. Meanwhile, the correlation of different segments was calculated. With the consistency of control objectives for urbanized segments of expressway, a relative density model of multi-agent consistency was proposed. Then, on basis of multi-agent and fuzzy control theory, a multi-agent ramp cooperative control model based on fuzzy neural network was presented. Urbanized segments of Beijing-Tianjin-Tanggu Expressway were selected to validate the model. The results show that the model was effective. The method can stabilize the density of the urbanized expressway, and relief traffic congestion in the area.
- Copyright
- © 2015, 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 - Zhonghai Niu AU - Yuanhua Jia AU - Feng Chen AU - Liangliang Zhang PY - 2015/07 DA - 2015/07 TI - Multi-Agent Collaborative Control Method of Ramps Based on Fuzzy Neural Network BT - Proceedings of the International Conference on Chemical, Material and Food Engineering PB - Atlantis Press SP - 575 EP - 578 SN - 2352-5401 UR - https://doi.org/10.2991/cmfe-15.2015.135 DO - 10.2991/cmfe-15.2015.135 ID - Niu2015/07 ER -