According to the characters of the homogeneous macroscopic fundamental diagram (MFD), we establish a macro estimation model of energy consumption, combining the basic control parameters of signal intersections and section, to reduce travel time and fuel consumption of vehicles in congested areas. Further, a bi-level optimal control model is established for boundary signal of the congestion area. A solution algorithm based on the adaptive breeding chaotic swarm optimization algorithm based on immune selection (ICPOS) is presented. Finally, the simulation results show that: (1) in this paper, the bi-level optimal control model not only can increase the capability of evacuation, but also can reduce the fuel consumption of vehicles during the congestion time; (2) the energy consumption optimal control method can also effectively improve the balance of network density; and (3) the boundary control for congested areas can reduce congestion during rush hours and improve the evacuated ability of the network.
The Optimization Method of Energy Consumption in the Congestion Transportation Network Based on Macroscopic Fundamental Diagram
18th COTA International Conference of Transportation Professionals ; 2018 ; Beijing, China
CICTP 2018 ; 1322-1332
2018-07-02
Conference paper
Electronic Resource
English
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