A Speed Calculation Method for Data-missing Road Sections Based on Spatio-temporal Correlation
A technology with time-space correlation and missing data, applied in the field of intelligent transportation system, can solve the problems of low accuracy and poor processing ability, and achieve the effect of accurate results
Active Publication Date: 2017-12-22
ENJOYOR COMPANY LIMITED
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Problems solved by technology
[0006] In order to overcome the shortcomings of poor processing ability and low accuracy of the existing data-missing road section speed calculation method, the present invention uses the traffic speed and traffic flow calculation data of the road section where data can be collected through the time-space correlation between road section traffic flows The traffic speed of the missing road section improves the processing ability of the incomplete data and the accuracy of the processing results
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[0019] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and examples.
[0020] refer to figure 1 and figure 2 , a method for calculating the speed of road sections with missing data based on spatio-temporal correlation, comprising the following steps:
[0021] Step 101: Based on the time-space correlation, establish a relationship model between the speed of the target road section and the speed and traffic density of the adjacent road sections where sensors have been deployed
[0022] First, based on the spatio-temporal correlation, combined with the congestion and traffic loss of the road section, the relationship model between the speed of the target road section and the speed of the adjacent road section where the sensor has been deployed, and the traffic flow density is established:
[0023]
[0024] In the formula: α 1 ...
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The invention provides a data missing road speed calculation method based on time-space relevance. Firstly, a relational model between speed of a target road and speed and traffic density of an adjacent road on which sensors are deployed is established based on the time-space relevance; secondly, relevant data of the target road and the adjacent road are detected; and finally the parameter situation of the model is calculated by utilizing a least square method and the final model is determined. Traffic speed of a data missing road is calculated by utilizing traffic speed and traffic flow of the road capable of acquiring the data with combination of the condition of road congestion and flow loss through the time-space relevance between road traffic flow so that the result is enabled to be more accurate. Speed of the data missing road calculated based on the time-space relevance can be used for traffic state assessment, traffic information service and road planning.
Description
technical field [0001] The invention belongs to the field of intelligent transportation systems, and in particular relates to a method for calculating the speed of a data-missing road section based on time-space correlation. Background technique [0002] The problem of traffic congestion has had a serious impact on social and economic development, and the current traffic status assessment mainly relies on the data detected by sensors, such as SCATS coils and remote sensing microwave detectors. The traffic rules implied in these data are of great reference value to relevant departments in terms of traffic control and road network planning. However, due to various reasons (such as no deployment, construction damage, line failure, processing errors, etc.), there are missing phenomena in these data, which adversely affects the accuracy of traffic data analysis and traffic status assessment. Therefore, it is necessary to find the most reasonable way to calculate missing data. B...
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IPC IPC(8): G08G1/052
CPCG08G1/052
Inventor 王毅柳展陈才君樊锦祥
Owner ENJOYOR COMPANY LIMITED