Multi-strategy and multi-object self-adaptation traffic control method

Abstract

The invention discloses a multi-strategy and multi-object self-adaptation traffic control method. The multi-strategy and multi-object self-adaptation traffic control method is characterized by comprising the following steps that (1), traffic state inspection equipment collects traffic flow data in real time, obtains the traffic state information and sends the traffic state information to an intersection signal machine, and the intersection signal machine uploads the traffic flow data to a signal center control system; (2), the intersection signal machine calculates the traffic intensity of an intersection, judges the traffic states of the intersection and adjusts the control plan of the current intersection in real time according to the different traffic states; (3), according to the intersection traffic flow data uploaded in real time, the signal center control system optimizes the intersection signal control scheme from the global angle of a road network. According to the control method, the road network grade global optimization self-adaptation signal control method is provided through judgment and analysis of the traffic states of the road network, and artery coordination control applicable to any traffic state is achieved.

Description

technical field

[0001] The invention belongs to the technical field of automatic traffic control, and in particular relates to a multi-strategy and multi-objective self-adaptive traffic control method and system. Background technique

[0002] With the continuous increase of urban car ownership, the traffic demand has increased sharply. However, the traffic supply that the city's increasingly mature road network can provide is limited, and the imbalance between supply and demand has become one of the causes of urban traffic congestion; traffic congestion problems are mainly concentrated in The nodes (level intersections) of the road network force people to notice that backward traffic control technology is also the main cause of traffic problems. With the continuous development of electronics, information and control technology and its wide application in the transportation industry, people are constantly striving to improve traffic congestion through advanced intelligent tra...

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