Self-locking control method for controlling road network traffic through urban signal lamps

Abstract

The invention discloses a self-locking control method for controlling road network traffic through urban signal lamps, which comprises the following steps: (1) determining a controlled zone boundary; (2) constructing a control matrix gij(k) according to the conditions of signal lamps at each intersection of the controlled zone boundary to be used as a split ratio matrix of signal phases entering the controlled zone; setting the optimal accumulated number of vehicles in the controlled zone as M, and determining the minimum value and the maximum value of the split ratio matrix of the phases at each intersection in the controlled zone according to the shortest crossing time of pedestrians and the allowed maximum queue length at each intersection; and (3) if X(k) is less than M, setting the signal lamps at each intersection of the controlled zone boundary according to MAX gij(k)=gij, and if X(k) is greater than M, setting the signal lamps at each intersection of the controlled zone boundary according to MIN gij(k)=gij, thereby realizing the self-locking control of the road network traffic through urban signal lamps. By controlling based on observation, the invention can effectively prevent the supersaturated traffic state and traffic deadlock of the road network.

Description

technical field [0001] The invention relates to a control method of urban signal lamps, in particular to a method for controlling road networks of urban signal lamps, especially a traffic signal lamp control method for areas prone to traffic self-locking congestion in urban core areas. Background technique [0002] Generally speaking, there are two situations in the increase of traffic volume, one is the natural increase of traffic volume accompanied by social and economic development, and the other is the sudden increase of traffic volume during peak hours and holidays. When the traffic volume increases rapidly, the section flow of some road sections often exceeds the design section flow, or even exceeds the design section flow by more than 50%, that is, a supersaturated state occurs, which makes traffic management face many difficulties. [0003] For supersaturated road network control, relevant scholars at home and abroad have made many representative research results and...

AI Technical Summary

Problems solved by technology

However, when the road network is close to saturation or supersaturation, the traffic flow is extremely sensitive to various random disturbances on the road network, and the traffic state is often in a relatively chaotic state, which makes it difficult to make, or even accurately estimate, the above-mentioned control target estimation model. Causes the traffic

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