Main line bi-directional green wave phase-signal comprehensive optimization method

Abstract

The invention provides a main line bi-directional green wave phase-signal comprehensive optimization method, which comprises the following steps that a phase-signal scheme comprehensive optimization model targeting at increasing green wave width and reducing vehicle average delay. The phase-signal scheme comprehensive optimization model is based on a trunk line intersection channelization mode, the intersection distance and the traffic flow structure, the trunk traffic organization, the phase scheme and the signal scheme, and a single-group flow structure optimization method and a plurality ofgroups of flow structure optimization method are provided. The optimal phase-signal control scheme is selected by introducing the phase scheme flexibility and signal parameter robustness, and the control parameters are updated for the flow structure whose evaluation value does not meet beta measurement degree, and re-grouping is carried out. According to the urban trunk coordination control optimization method based on the multi-period control scheme, a plurality of sets of flow structures, the traffic organization, the phase scheme and pedestrian crossing factors are fully considered, so that the traffic requirements of all time periods can be accurately processed, the operation efficiency can be improved, and the traffic cost can be reduced.

Description

technical field [0001] The present invention relates to the technical field of traffic control and management, and more specifically, relates to an optimization method for coordinated control of urban arterial roads based on a multi-period control scheme. Background technique [0002] Urban arterial lines are the main arteries of urban road traffic networks, with the characteristics of long mileage, large service traffic volume, and high speed. [0003] In terms of coordinated control, some large and medium-sized cities in my country have also tried, and have introduced advanced intelligent traffic control management systems, such as Beijing, Chengdu and Dalian introduced the British SCOOT system; Shenyang, Shanghai, Guangzhou introduced the Australian SCATS system; Shenzhen Introduce Japan's KYOSAN system, etc. However, the above-mentioned coordinated control systems are all based on adaptive control methods, which are highly dependent on detection coils and their hardware ...

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Problems solved by technology

However, the above coordinated control systems are all based on adaptive control methods, which are highly dependent on detection coils and their hardware facilities

Considering that the failure rate of the coils used to detect vehicles in major cities in my country is as high as 30%, it is easy to cause inaccurate real-time traffic data, which is not conducive to the coordinated control system to formulate appropriate traffic control strategies.

In addition, the adaptive control method may cause large disturbances to the traffic flow due to its frequent switching strategies, and the effect on improving traffic conditions may be "counterproductive". Therefore, the above systems are not universally applicable to the coordinated control of urban arterial roads in my country

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