Dynamic traffic congestion simulation and dissipation control based on traffic flow theory model and neural network data calibration algorithm

DOI10.1155/2017/5067145zbMath1380.93053OpenAlexW2778708003MaRDI QIDQ680792

Nanfeng Zhang, Feng Yang, Zhifu Li, Yong Li, Shimin Lin, Ji Yang, Li Wang, Jingfeng Yang, Handong Zhou

Publication date: 29 January 2018

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/5067145

zbMATH Keywords

dissipation controldynamic traffic congestion simulationneural network data calibration algorithmtraffic flow theory

Mathematics Subject Classification ID

Minimal systems representations (93B20) Traffic problems in operations research (90B20)

Uses Software

• Matlab
• Neural Network Toolbox

Cites Work

• Vibration control and boundary tension constraint of an axially moving string system
• Modelling and control for a class of axially moving nonuniform system
• Boundary Control for a Vibrating String System with Bounded Input
• System-Optimal Routing of Traffic Flows with User Constraints in Networks with Congestion

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