Road service level evaluation method based on saturation rate

A technology of service level and evaluation method, applied in the field of road service level evaluation based on saturation rate, to achieve the effect of alleviating traffic problems

Active Publication Date: 2022-03-15
航天科工广信智能技术有限公司
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Problems solved by technology

[0004] In order to overcome the deficiencies of the existing technologies, and aim at the fact that the existing expressway management schemes cannot effectively deal with the actual traffic conditions that occur in real time, thi

Method used

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  • Road service level evaluation method based on saturation rate
  • Road service level evaluation method based on saturation rate
  • Road service level evaluation method based on saturation rate

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Embodiment Construction

[0048] The present invention will be further described below in conjunction with the accompanying drawings.

[0049] refer to figure 1 and figure 2 , a road service level evaluation method based on saturation rate, including the following steps:

[0050] 1) Determination and division of road sections:

[0051] Before dividing the road section, first determine the scope of the influence area of ​​the interchange and service area, among which: the scope of the influence area of ​​the interchange and service area is defined as 450 meters before the entrance and exit of the ramp. Then use the homogeneous method to divide road sections according to the set division index and standard, and divide the expressway into several continuous road sections. With the adjacent bayonet and the position of the radar as the endpoint, each analyzable road section is determined. For two adjacent short-circuit sections, the adjacent road sections can also be merged into the same road section ac...

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Abstract

A saturation rate-based road service level evaluation method comprises the following steps of: 1) determining and dividing road sections, and determining each analyzable road section; 2) preprocessing data to obtain traffic flow data and traffic flow geographic data; (3) standard traffic flow conversion: converting the input data, and uniformly converting large and small traffic flows passing through a road section into standard traffic flows; 4) density data is obtained through the flow and speed data, and a flow-density data set is obtained; 5) estimating a flow-density model, and fitting the data of the target road section by using Gaussian process regression to obtain a model; 6) obtaining the maximum traffic capacity, and solving the maximum traffic flow by using a particle swarm algorithm; 7) acquiring a saturation rate; and (8) matching a corresponding service level grade according to the saturation rate obtained in the step (7). Through an artificial intelligence method, the traffic condition information is obtained in time, a basis is provided for road management, and timely and effective measures are taken.

Description

technical field [0001] The invention relates to the field of road traffic service level evaluation, in particular to a road service level evaluation method based on saturation rate. Background technique [0002] In recent years, with the rapid development of my country's national economy, the traffic demand is increasing day by day, which will inevitably promote the rapid development of highway construction. As the proportion of highway construction mileage in the total highway construction mileage is increasing, how to People pay more and more attention to the scientific management of built expressways, which requires us to make an objective and scientific evaluation of the running quality of expressways that have been in operation, so as to provide a reliable basis for management decisions. [0003] Service level is the level of service felt by road users in terms of safety, comfort, efficiency, economy, etc. It is also an objective evaluation of road traffic conditions and...

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Application Information

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IPC IPC(8): G08G1/065G08G1/01
CPCG08G1/065G08G1/0129G08G1/0133Y02T10/40
Inventor 徐云王喆冰杨军喜林静袁传军曹虹霞金智多应露娜冯远静李永强姚辉
Owner 航天科工广信智能技术有限公司
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