Traffic road jam prediction method based on particle swarm algorithm

A particle swarm algorithm and prediction method technology, applied in the field of transportation, can solve the problems of inability to achieve self-learning, poor real-time performance, and complex algorithm design, and achieve the effect of improving prediction accuracy, improving operating performance, and enhancing operating performance.

Inactive Publication Date: 2018-08-07
佛山杰致信息科技有限公司
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Problems solved by technology

However, there are still defects, such as complex algorithm design, inability to realize self-learning, poor real-time performance, etc.

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  • Traffic road jam prediction method based on particle swarm algorithm
  • Traffic road jam prediction method based on particle swarm algorithm
  • Traffic road jam prediction method based on particle swarm algorithm

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[0042] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description. All features disclosed in this specification, or steps in all methods or processes disclosed implicitly, can be combined in any way, except for mutually exclusive features and / or steps.

[0043] Any feature disclosed in this specification (including any appended claims, abstract and drawings), unless expressly stated otherwise, may be replaced by alternative features which are equivalent or serve a similar purpose. That is, unless expressly stated otherwise, each feature is one example only of a series of equivalent or similar features.

[0044] Specific embodiments of the present invention will be described in detail below, and it should be noted that the embodiments described here are only for illustration, not for limiting the present inve...

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Abstract

The invention discloses a traffic road jam prediction method based on a particle swarm algorithm; the method comprises the following steps: S1, using a sensor system on the terminal side and a trafficmonitoring system in a road intersection to gather traffic data, and uploading the data to a cloud server; S2, enabling the cloud server to receive the traffic data and process the data via the improved particle swarm algorithm, thus obtaining prediction data; S3, enabling the cloud server to send the prediction data to equipment on the terminal side; S4, enabling the equipment on the terminal side to receive data returned by the cloud server, and storing the data in a local storage device; S5, enabling the cloud server to obtain the traffic data gathered by the terminal and the traffic monitoring system in real time, taking the traffic data as new input variables, continuously learning according to the improved particle swarm algorithm, and continuously optimizing the prediction data. The method can obviously improve the prediction precision, can effectively adjust the traffic flow, can reduce the traffic loads, can reduce transportation delay and parking rate, thus improving the road network passing ability, and improving the city traffic conditions.

Description

technical field [0001] The invention relates to the technical field of traffic, and more specifically, to a method for predicting traffic congestion based on particle swarm optimization. Background technique [0002] With the development of the automobile industry, while automobiles bring various conveniences to people, they also create a series of problems, such as traffic congestion, environmental pollution, traffic accidents, etc. my country's traffic conditions lie in the mixed traffic of motor vehicles and non-motor vehicles, the large number of bicycles, the large number of motor vehicles, and the limited capacity of the road network. One of the problems that needs to be solved in the implementation of the strategy of strengthening the country is traffic congestion. In the field of road traffic control, there are many unsolvable problems in the information system for traffic monitoring, data collection and processing, especially in the traffic control system at road in...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G06N3/00
CPCG08G1/0133G06N3/008G08G1/0129
Inventor 刘威王玉环
Owner 佛山杰致信息科技有限公司
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