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Coordinated optimization control method and system for signal control intersection

A signal-controlled intersection, coordinated optimization technology, applied in the direction of traffic control system, traffic control system of road vehicles, genetic rules, etc., can solve traffic and environmental pollution, flow imbalance and other problems, to reduce the average vehicle delay, optimize Obvious effect

Active Publication Date: 2021-06-25
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above problems, the present disclosure provides a coordinated optimization control method and system for signal-controlled intersections. When a fast-developing urban traffic arterial road connects with a secondary arterial road with a large flow difference, the method adopts NEMA double-loop The adaptive optimization of the timing plan can effectively solve a series of traffic and environmental pollution problems caused by unbalanced flow directions

Method used

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  • Coordinated optimization control method and system for signal control intersection
  • Coordinated optimization control method and system for signal control intersection
  • Coordinated optimization control method and system for signal control intersection

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Embodiment 1

[0031] Such as figure 1 As shown, a coordinated optimization control method for signal-controlled intersections, including:

[0032] Step (1), obtain the current signal timing scheme, and obtain the traffic data of the intersection within the preset time period;

[0033] In step (2), a multi-objective nonlinear integer programming model is constructed according to the timing scheme and traffic data, and the objective function is established with the optimization goal of minimizing the average delay time of vehicles in the timing scheme;

[0034] Step (3) establishes an adaptive improved evolutionary algorithm, and the objective function is used as the fitness value of the adaptive improved evolutionary algorithm; according to the adaptive improved evolutionary algorithm, the multi-objective nonlinear integer programming model is solved to obtain optimal intersection timing scheme and used as the actual intersection signal timing scheme.

[0035] Further, the step of obtainin...

Embodiment 2

[0108] The present disclosure also provides a coordinated optimization control system for signal-controlled intersections, including:

[0109] The data collection module is configured to obtain the current signal timing scheme, and obtain the traffic data of the intersection within the preset time period;

[0110] The planning model building module is configured to construct a multi-objective nonlinear integer programming model according to the timing scheme and traffic data, and establish an objective function with the optimization goal of minimizing the average delay time of vehicles in the timing scheme;

[0111] The timing scheme acquisition module is configured to establish an adaptive improved evolutionary algorithm, and the objective function is used as the fitness value of the adaptive improved evolutionary algorithm; according to the adaptive improved evolutionary algorithm, the multi-objective nonlinear integer programming model is solved to obtain the optimal The in...

Embodiment 3

[0115] A computer-readable storage medium is used for storing computer instructions, and when the computer instructions are executed by a processor, the method for coordinated optimization control of a signal-controlled intersection as described in the above-mentioned embodiments is completed.

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Abstract

The invention provides a coordinated optimization control method and system for a signal control intersection. The method comprises the steps of: obtaining a current signal timing scheme, and obtaining the traffic data of an intersection in a preset time period; constructing a multi-target nonlinear integer programming model according to the timing scheme and the traffic data, and establishing an objective function by taking minimization of vehicle average delay time in the timing scheme as an optimization objective; establishing an adaptive improved evolutionary algorithm, and taking the objective function as a fitness value of the adaptive improved evolutionary algorithm; and solving the multi-objective nonlinear integer programming model according to the adaptive improved evolutionary algorithm to obtain an optimal intersection timing scheme and using the optimal intersection timing scheme as an actual intersection signal timing scheme. According to the method, the average vehicle delay and the queuing length at the intersection can be effectively reduced, the CO emission amount is reduced, the vehicle traffic capacity in the intersection range is improved, and the optimization effect is more obvious under the frequent situation of flow distribution imbalance of different flows at the same phase in urban main roads and intersections.

Description

technical field [0001] The disclosure belongs to the technical field of urban intelligent transportation systems, and relates to a method and system for adaptively optimizing signal timing at signal-controlled intersections under different traffic conditions by using checkpoint traffic data and road conditions. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] The sustained development of the national economy has led to the vigorous development of transportation. As the development speed of urban infrastructure cannot keep up with the growth rate of transportation demand, the contradiction between supply and demand of transportation has become increasingly prominent. Urban intersections are frequently congested and key nodes of traffic flow. When road conditions are constrained, improving the operational efficiency of intersections is an e...

Claims

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Application Information

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IPC IPC(8): G08G1/01G06Q10/04G06Q50/26G06F17/15G06N3/12
CPCG08G1/0125G08G1/0145G06Q10/04G06Q50/26G06F17/15G06N3/126Y02T10/40
Inventor 邹难杨坤鸿
Owner SHANDONG UNIV
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