Traffic condition detection method based on big data

A technology for traffic conditions and detection methods, applied in traffic flow detection, road vehicle traffic control systems, traffic control systems, etc., can solve problems such as increased congestion time, road traffic congestion, and inconvenience, so as to relieve traffic pressure and save travel. time, the effect of reasonable adjustment

Inactive Publication Date: 2016-11-09
INSPUR GROUP CO LTD
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] With the rapid development of social economy, more and more people choose cars as a way of travel, which will inevitably cause traffic jams on the road, increase the traffic pressure on the main roads, increase the congestion time of people on the road, and bring life bring great inconvenience

Method used

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  • Traffic condition detection method based on big data

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Embodiment

[0019] Such as figure 1 Shown, the traffic condition detection method based on big data of the present invention comprises the following steps:

[0020] S1: Collect road traffic status information through cameras on the road.

[0021] The traffic condition information of the road includes traffic flow and pictures of the traffic flow.

[0022] S2: Upload the road traffic condition information collected by the camera to the cloud server.

[0023] S3: The cloud server analyzes and classifies the received road traffic condition information and displays it on the map.

[0024] S4: The cloud server calculates the peak and idle time of the traffic flow by analyzing and sorting out the historical data, and reports the result to the competent department. The competent department can adjust information such as the time of traffic lights at intersections according to the reported results.

[0025] The traffic condition detection method based on big data of the present invention coll...

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Abstract

The invention discloses a traffic condition detection method based on big data, which belongs to the technical field of computer big data. The traffic condition detection method based on big data of the present invention comprises the following steps: S1: collect the traffic condition information of the road through the camera on the road; S2: upload the road traffic condition information collected by the camera to the cloud server; S3: the cloud server receives The road traffic status information is analyzed and classified, and displayed on the map. The traffic condition detection method based on big data of the invention can display the road traffic condition on the map in real time, and the traveler can clearly understand the traffic condition of the road section, and choose the appropriate travel section according to the actual situation, thereby alleviating the road traffic pressure, which has great advantages. Good promotion and application value.

Description

technical field [0001] The invention relates to the technical field of computer big data, and specifically provides a method for detecting traffic conditions based on big data. Background technique [0002] Compared with traditional data warehouse applications, big data analysis has the characteristics of large data volume and complex query and analysis. There are four characteristics of big data: first, the volume of data is huge, jumping from TB level to PB level; second, there are various types of data, such as network logs, videos, pictures, geographic location information, and so on. Third, the processing speed is fast, and the 1-second law can quickly obtain high-value information from various types of data, which is also fundamentally different from traditional data mining techniques; fourth, as long as the data is used reasonably and its Proper and accurate analysis will bring high value returns. The industry summarizes it into four "Vs" - Volume (large data volume...

Claims

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Application Information

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IPC IPC(8): G08G1/01
CPCG08G1/0116G08G1/0141
Inventor 刘永哲高新迪张得文
Owner INSPUR GROUP CO LTD
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