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A short-term traffic flow speed prediction method in the environment of Internet of Vehicles
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A prediction method and flow velocity technology, applied in traffic flow detection, road vehicle traffic control system, traffic control system, etc., can solve problems such as data collection errors and even errors, and achieve improved collection accuracy, reduced volatility, improved The effect of reliability
Active Publication Date: 2021-07-02
SOUTHEAST UNIV
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In the environment of the Internet of Vehicles, the prediction of short-term traffic flow is also improved. On the one hand, the traditional short-term traffic flow prediction needs to be based on traditional traffic information collection equipment, and the collected information points are relatively fixed, and will There are errors or even errors in data collection, and after the introduction of the Internet of Vehicles environment, the vehicle can transmit its own operating status information to the system at any position and at any time during the operation process, and the accuracy of the information is fully guaranteed; on the other hand, In the Internet of Vehicles environment, the interaction of information between vehicles also reduces the volatility of traffic flow operation and indirectly improves the reliability of traffic flow operation. Therefore, in this case, it is necessary to actively develop a short-term The prediction method of short-term traffic flow speed will be a great impetus and reform to the technical field of short-term traffic flow prediction in the traffic system.
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Embodiment 1
[0037] A short-term traffic flow speed prediction method in the Internet of Vehicles environment, as shown in Figure 1, includes the following steps:
[0038] S1. Determine short-term traffic flow prediction parameters: the determined prediction parameters include at least short-term traffic flow speed prediction point location L, time interval G for short-term traffic flow speed prediction and vehicle flow direction D for short-term traffic flow speed prediction ; Among them, the short-term traffic flow speed prediction point position L adopts latitude and longitude coordinates, the unit of time interval G is minutes, and G∈{3,5,6,10,15,20,30,60}
[0039] S2, data collection and processing: the steps are used to collect the speed and time of the motor vehicle when passing the predicted point position L, group and store the data according to the date and time of data collection, and then perform averaging processing;
[0040] S21, data collection; when a motor vehicle passes t...
Embodiment 2
[0057] This embodiment selects a certain interstate road in the United States as an example, and the schematic diagram of the road condition is as follows figure 2 As shown, a short-term traffic flow speed prediction method in the Internet of Vehicles environment includes the following steps:
[0058] S1, determine the short-term traffic flow forecast parameters:
[0059] The determined parameters include: short-term traffic flow speed prediction point position L, namely figure 2 Shown mark point, the time interval G of short-term traffic flow speed prediction=5 minutes, the vehicle flow direction D of short-term traffic flow speed prediction is the direction from left to right in the figure;
[0061] S21, data collection: when there is a motor vehicle passing the point position L, and the driving direction of the motor vehicle is equal to D, the Inte...
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Abstract
The invention discloses a short-term traffic flow speed prediction method under the environment of the Internet of Vehicles. Four steps of speed prediction, through the collection, storage and processing of traffic flow operation data in the Internet of Vehicles environment, and based on the data, a short-term traffic flow speed combination prediction model is constructed and calibrated to realize short-term traffic in the Internet of Vehicles environment Flow speed prediction, through the method of the present invention, can effectively utilize various types of data generated in the Internet of Vehicles environment, and improve the data collection efficiency, data acquisition accuracy and prediction accuracy of short-term traffic flow speed prediction.
Description
[0001] Field [0002] The invention belongs to the technical field of short-term traffic flow prediction in traffic systems, and in particular relates to a method for predicting short-term traffic flow speed in a vehicle network environment. Background technique [0003] With the continuous development and advancement of technology in the field of road traffic, road traffic flow forecasting has become one of the most critical technologies in intelligent transportation systems. Among them, short-term traffic flow forecasting is the basis of traffic control and traffic guidance. The data of traffic operation perceives and predicts the operation of the upcoming traffic flow in advance, and prepares for it in advance. This has always been a research hotspot in the field of short-term traffic flow. Numerous scholars have done a lot in the prediction of short-term traffic flow. fundamental and practical explorations. [0004] At present, governments of various countries are vigorou...
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