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- Title
Research of traffic flow multi-objectives intelligent control method for junction network.
- Authors
Chen, Feng; Zhang, Qi; Jia, Yuanhua; Li, Jian
- Abstract
Junction network is a special type of roadwork pattern that scatters and distributes around the specific zone of metropolitan and in that contains different grade and functional roads of arterial road, urban freeway and expressway. Intelligent control is new development where the control problem is to find the combination of control measures that result for the best road performance and control effectiveness. The problems of multi-objective coordinated metering and evaluation for local ramp is considered. This paper discusses the optimal coordination of mainline and ramp, a modified ramp latency model is posed using the method of queuing theory, and a ramp control with better mechanism compare to artificial neural network using radical based function-support vector machine algorithm is designed. With in-situ traffic flow data of Beijing ring and radial freeway during high-density period, three known and the designed novel methodologies are compared, the intensive simulations show the effectiveness of the proposed approach, particularly at the aspect of minimize reduplicated waiting time for junction network. using these methodologies demonstrates the comparative control efficiency and accuracy.
- Subjects
TRAFFIC flow; INTELLIGENT control systems; ARTIFICIAL neural networks; SUPPORT vector machines; RAMP metering (Traffic engineering); TRAFFIC engineering software
- Publication
Telecommunication Systems, 2013, Vol 53, Issue 1, p77
- ISSN
1018-4864
- Publication type
Article
- DOI
10.1007/s11235-013-9679-0