Urban Area Oversaturated Traffic Signal Optimization Control Based on MFD

作者：Liu Xiao Ming; Tang Shao Hu; Zhu Feng Hua; Chen Zhao Meng

来源：Acta Automatica Sinica, 2017, 43(7): 1220-1233.

DOI：10.16383/j.aas.2017.c160250

• Adaptive dynamic programming
• Back propagation neural networks
• Bi-level programming
• Macroscopic fundamental diagram
• Traffic signal optimizations

In order to solve traffic efficiency reduction of road network, which is caused by overlarge traffic demand of urban regions at peak hours, and resource waste of roads due to the heterogeneity of traffic distribution, this paper proposes an optimization model of control for oversaturated area based on inherent attributes macroscopic fundamental diagram (MFD) of regional road network, and builds up the bi-level programming optimization of objective function for boundary and internal signal control. Furthermore, an adaptive dynamic programming (ADP) model based on back propagation (BP) neural network is employed to solve the regional signal control of bi-level programming. Simulation results verify the validity of this method. The investigation of this paper has certain guidance for urban traffic management such as control and management of traffic demand, formulation of congestion policy, etc.

• 出版日期2017