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Intersection variable lane control method based on short-time traffic state prediction

A traffic state and lane control technology, applied in traffic control system, road vehicle traffic control system, traffic flow detection, etc., can solve problems such as delaying work progress, uneven road driving, and optimal control of intersections that cannot be isolated. Achieve the effect of reducing computational complexity, improving control efficiency, and ensuring smooth traffic

Inactive Publication Date: 2020-09-15
ANHUI SANLIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] This technology has the following disadvantages: (1) This technology cannot optimize the control of isolated intersections; (2) The overall transportation efficiency of the road network is low; (3) The utilization rate of road intersections is low;
[0004] There are big problems in the existing urban transportation network. In the early morning and evening, staff, office workers and students need to take vehicles such as cars. Short-term gatherings will cause congestion and immobility problems, and During the driving process, the roads will be uneven, making some roads crowded and unable to walk, and some roads are empty and empty, which seriously affects people's travel, wastes a lot of time, and delays the progress of work. It has brought serious work burden and economic loss to the traffic police

Method used

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  • Intersection variable lane control method based on short-time traffic state prediction
  • Intersection variable lane control method based on short-time traffic state prediction
  • Intersection variable lane control method based on short-time traffic state prediction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] In this embodiment, the calculation method of the retention amount of the monitoring object is described.

[0052] Specifically, assuming that the number of adjacent intersections of the monitored object is n, and the connected sections of the monitored object are all two-way roads, the vehicle flow direction at the intersection is n(n-1), that is, the monitored object is associated with n( n-1) remittance ratios.

[0053] Then in the current control period, the retention amount of the monitored object is:

[0054]

[0055] Among them, Num i is the actual traffic quantity of the i-th flow direction in the current traffic flow within the monitoring period, specifically, Num i is the product of the number of vehicles on the upstream section of the i-th flow direction and the inflow ratio of the i-th flow direction. is the maximum number of traffic in the i-th flow direction in the current traffic flow within the monitoring period.

[0056] by figure 2 The three-...

Embodiment 2

[0068] In this embodiment, compared with Embodiment 1, the signal light phase is adjusted through the following steps. :

[0069] S61. Calculate the predicted retention value of the monitored object in the next control cycle.

[0070] Specifically, the formula for calculating the predicted value of retention is:

[0071] O' 滞留 =O'+O 滞留 -(O-O 滞留 )=O'-O+2O 滞留 ;

[0072] Among them, O' 滞留 is the predicted value of retention, and O' is the incoming traffic flow of the monitoring object.

[0073] S62. Determine whether the retention prediction value is greater than the preset risk threshold; if not, maintain the current signal light strategy. Specifically, the risk threshold is greater than 1 and less than or equal to 5.

[0074] S63. If yes, adjust the phase of the signal light according to the current traffic flow and the inflow ratio of each flow direction.

Embodiment 3

[0076] In this embodiment, with respect to embodiment 2, in step S63, the signal light phase is assigned a time period according to the time required for the vehicle to pass through completely in each direction of flow.

[0077] Take the three-way intersection in Embodiment 1 as an example.

[0078] In this embodiment, since the vehicle rotation directions 1, 2, and 3 can pass in the two signal light phases, firstly, the time period of each signal light phase can be regarded as composed of two parts, which are respectively only the traffic in the phase. The time required for the direction of flow and the time required for the direction of flow that can pass within the phase.

[0079] In this embodiment, when adjusting the signal lamp phase, the redistribution time length of the three phases is set as: t1', t2' and t3', and t1':t2':t3'=B1:B2:B3, t1' +t2'+t3'=T, T is the duty cycle of the signal light.

[0080] B1, B2, B3 can be calculated according to the following formula: ...

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Abstract

The invention provides an intersection variable lane control method based on short-time traffic state prediction. The intersection variable lane control method comprises the steps of obtaining an intersection adjacent relation through an electronic map; according to historical statistical data, obtaining an afflux ratio of each intersection in each monitoring time period; counting the current traffic flow of each intersection; taking a single intersection as a monitored object, and obtaining the to-be-imported traffic flow of the monitored object according to the current traffic flow and the import ratio of the adjacent intersections of the monitored object; obtaining the retention amount of the monitored object in the current control period according to the current signal lamp phase and the afflux ratio of the monitored object; evaluating the blockage risk of the monitored object according to the retention amount and the to-be-imported traffic flow, and for the monitored object with the blockage risk, adjusting the phase of signal lamps according to the current traffic flow and the import ratio in each circulation direction. According to the invention, the lowest blockage risk atintersections is realized, and smooth traffic is ensured.

Description

technical field [0001] The invention relates to the technical field of traffic control, in particular to a method for controlling variable lanes at intersections based on short-term traffic state prediction. Background technique [0002] Existing technology is limited by cost. In the current urban road network, only some intersections in the main urban area are generally controlled by large-scale traffic signal control systems, and most of the remaining intersections are still controlled independently. [0003] This technology has the following disadvantages: (1) This technology cannot optimize the control of isolated intersections; (2) The overall transportation efficiency of the road network is low; (3) The utilization rate of road intersections is low; [0004] There are big problems in the existing urban transportation network. In the early morning and evening, staff, office workers and students need to take vehicles such as cars. Short-term gatherings will cause congest...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/08G08G1/081G08G1/01
CPCG08G1/0133G08G1/08G08G1/081
Inventor 许倩倩
Owner ANHUI SANLIAN UNIV
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