Traffic abnormal data discrimination and interpolation method and system
A technology for abnormal data and traffic, applied in traffic control systems, traffic control systems of road vehicles, traffic flow detection, etc., to improve the recognition rate, scientific and reliable, and reduce missed judgments
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Embodiment 1
[0040] Such as figure 1 As shown, this embodiment provides a method for judging and interpolating abnormal traffic data. This embodiment uses this method as an example to illustrate the application of the server. It can be understood that this method can also be applied to terminals, and can also be applied to It includes terminals, servers and systems, and is realized through the interaction between terminals and servers. The server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or it can provide cloud services, cloud database, cloud computing, cloud function, cloud storage, network server, cloud communication, intermediate Cloud servers for basic cloud computing services such as software services, domain name services, security service CDN, and big data and artificial intelligence platforms. The terminal may be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a ...
Embodiment 2
[0074] This embodiment provides a system for identifying and interpolating abnormal traffic data.
[0075] A discrimination and interpolation system for abnormal traffic data, comprising:
[0076] The data acquisition module is configured to: acquire abnormal traffic data within a certain road section;
[0077] The abnormal data determination module is configured to: determine the type of the traffic abnormal data; the type of the traffic abnormal data includes missing data and erroneous data; wherein, the process of judging the erroneous data includes: judging the speed, flow and Whether the occupancy rate is within the set threshold range, if not, it is wrong data; judge whether the relationship between speed, flow rate and occupancy rate is logical, if not, it is wrong data;
[0078] The data filling module is configured to: fill the abnormal data to obtain the corrected traffic data in the road section.
[0079] It should be noted here that the above-mentioned data acqui...
Embodiment 3
[0081] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps in the method for identifying and interpolating traffic abnormality data as described in the first embodiment above are implemented.
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