Traffic signal iterative control optimization method based on macro basic map

Abstract

The invention relates to the field of road traffic signal control, and specifically relates to a traffic signal iterative control optimization method based on a macro basic map. The problem that the traffic hardware facilities cannot be fully utilized and the traffic efficiency of the road network is low as the existing traffic signal control scheme is inefficient and cannot be combined with the actual situation of the road network is solved. The scheme is as follows: (1) the entrances of a road network are determined and numbered to obtain an entrance number set R-Entrance{R1, R2, ... , Rm, ...}; (2) the set of the traffic volume change values of the entrances at a time node is Rj-Entrance{R1j, R2j, ... , Rmj, ...}; (3) the expression of the dissipation rate of each road section is Vm=S<m>g<m>(t); (4) the expression of the number of vehicles on the mth road section is hmj=hm<j-1>+Rmj-Vm; (5) the expression of the vehicle density is x1(t)=hmj / em, and the expression of the vehicle density error is y(t)=x1(t)-x2(t); (6) g1(t)=c-l-g2(t) is obtained according to the following phase constraints: Sigma<i=1><2>gi(t)=c-l; and gi(k)min<=gi(k)<=gi(k)max; and (7) a P-type iterative learning control method, namely, g<k+1>(t)=gk(t)+Gamma[yd-yk(t+1)], is adopted, and the green time is obtained by letting yd=0. The advantage is as follows: the traffic signal is controlled in time according tothe real-time vehicle density, so that the traffic efficiency is improved, the traffic jam during peak hours is solved, and travel is facilitated.

Description

technical field [0001] The invention relates to the field of road traffic signal control, in particular to a traffic signal iterative control optimization method based on a macro basic graph. Background technique [0002] With the development of society and the advancement of urbanization, my country's traffic demand continues to increase, and at the same time, traffic problems are becoming more and more prominent. People have made countless efforts in intelligent and efficient urban traffic control systems. At present, the existing traffic signal control scheme is inefficient, and the signal control scheme cannot be effectively combined with the actual situation of the road network, resulting in the inability to fully and effectively utilize the traffic hardware facilities, the low traffic efficiency of the road network, and often prone to blockage of one road and adjacent roads But empty and no cars. The inventor has studied the attributes of the macro basic diagram (MFD)...

AI Technical Summary

Problems solved by technology

[0003] The present invention solves the problems that the current existing traffic signal control schemes are inefficient and cannot be effectively combined with the actual situation of the road network, resulting in insufficient and effective use of traffic hardware facilities and low traffic efficiency of the road network, and provides a traffic signal based on a macro basic map Signal Iterative Control Optimization Method

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