Real-time Monitoring Method of Urban Road Saturation Based on Checkpoint Data

Abstract

The invention discloses a real-time monitoring method for urban road saturation based on bayonet data. The present invention monitors the driving trajectory of each vehicle by taking passing information as a unit. Construct a vehicle passing information set to store a series of bayonet numbers that the car passes through in chronological order within the set time range, and add 1 to the value of each adjacent bayonet pair. Through the collection of all passing information in the massive traffic flow, the value of each adjacent checkpoint pair is calculated, and the ratio of the value of the adjacent checkpoint pair to the set time difference is used to obtain the traffic volume of the road. The ratio of traffic capacity is road saturation, thus completing the real-time monitoring of urban road saturation based on checkpoint data. The invention can accurately calculate the value of the road saturation by acquiring the bayonet data in the central database. The real-time urban road saturation is calculated through the real-time bayonet passing data, so the calculation results are more real-time.

Description

technical field [0001] The invention relates to the fields of data mining technology and image recognition technology, in particular to a method for real-time monitoring of urban road saturation based on checkpoint data. Background technique [0002] With the rapid development of the economy, the population and the number of motor vehicles in our country have also increased dramatically, and the rapid growth of traffic volume and the imperfection of urban road construction have brought many traffic problems. Different grades of road service level can reflect the speed, economy, comfort and other service levels that road users can get under different traffic flow conditions, and road saturation is an important indicator reflecting the road service level one. At present, the existing research on road saturation is to obtain traffic volume data through conversion after manual investigation or observation (traffic volume refers to the number of vehicles actually participating i...

AI Technical Summary

Problems solved by technology

), and take the average speed of the road as an important parameter of real-time traffic conditions, and set different road congestion levels according to the speed, but this setting will reduce the accuracy of real-time traffic information because the parameters are too single

There are two main problems in the traditional road saturation research: 1) The traffic volume data is obtained through manual investigation or observation, and the accuracy of the data is not high, which will affect the actual calculation results; 2) The traffic volume data is not real-time data , the value of road saturation cannot be updated in time, which will affect the real-time performance of road saturation

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