By a News Reporter-Staff News Editor at Robotics & Machine Learning -- Investigators discuss new findings in Intelligent Systems. According to news reporting originating from Beijing, People's Republic of China, by VerticalNews correspondents, research stated, "Macroscopic fundamental diagrams (MFD), proposed by Geroliminis and Daganzo, describe the network-wide average relation between the number of vehicles in the network and the output flow of the network. As pointed out by Geroliminis and Daganzo, several factors may influence MFD."
Our news editors obtained a quote from the research from Tsinghua University, "The authors study the influence of traveller information on MFDs. The authors use microscopic simulation software TransModeler to model and simulate the dissemination of traveller information as well as the drivers' route choice behaviours that had been affected by the information. The influences of several model parameters, including the informed percentage, the reroute time interval and the acceptable delay level, are also examined. To help preliminarily understand the information's influence, the homogeneity of road sections' density distribution under different model parameters is also investigated. To further understand information's influence, incident information dissemination is investigated as a special case. An iterative model is proposed to depict traffic information's influence on incident-induced congestion propagation."
According to the news editors, the research concluded: "The analysis results are compared with simulation results to validate this model's effectiveness."
For more information on this research see: Exploring the influence of traveller information on macroscopic fundamental diagrams. IET Intelligent Transport Systems, 2014;8(1):58-67. IET Intelligent Transport Systems can be contacted at: Inst Engineering Technology-Iet, Michael Faraday House Six Hills Way Stevenage, Hertford SG1 2AY, England. (The Institution of Engineering and Technology - www.theiet.org/; IET Intelligent Transport Systems - www.ietdl.org/IET-ITS)
The news editors report that additional information may be obtained by contacting T.T. Zhao, Tsinghua Univ, Dept. of Automat, Beijing 100084, People's Republic of China. Additional authors for this research include Z.H. Li, B.Y. Huang, B.P. Mu and Y. Zhang.
Keywords for this news article include: Asia, Beijing, Intelligent Systems, People's Republic of China
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