Traffic state prediction method and device
A technology of traffic status and prediction method, which is applied in the direction of traffic flow detection, prediction, and traffic signal control, etc. It can solve the problems of unpredictability, no consideration of vehicle speed, poor accuracy of short-term prediction results, etc., and achieve the effect of facilitating pre-scheduling
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Embodiment 1
[0078] see figure 2 and 3 , Embodiment 1 of the present invention provides a traffic state prediction method and device, including the following steps:
[0079] (1) Calculate the traffic volume of the adjacent downstream road section within the next predicted time length, and the traffic volume is the number of vehicles that can be reached within the next predicted time length.
[0080] The method also includes:
[0081] Obtain the traffic state prediction time length;
[0082] Acquiring the current actual number of navigation users of the current road segment, the adjacent downstream road segment being the adjacent downstream road segment of the current road segment;
[0083] Obtain the travel time of passing through the current road segment under the current traffic state.
[0084] Described calculating the traffic volume of the adjacent downstream section in the next predicted time length is specifically:
[0085] Based on the predicted time length of the traffic stat...
Embodiment 2
[0126] see Figure 4 , Embodiment 2 of the present invention also provides a traffic state prediction device, which device includes: a traffic volume prediction module, an acquisition module 1, an acquisition module 2, an acquisition module 3, an acquisition module 4, an acquisition module 5, a setting module, The bearing capacity calculation module, the bearing capacity data table generation module, the traffic state prediction module and the prediction result output module.
[0127] The traffic volume prediction module is used to calculate the traffic volume of the adjacent downstream road section within the next forecast time length, and the traffic volume is the number of vehicles that can be reached within the next forecast time length.
[0128] The traffic state prediction device also includes:
[0129] The acquisition module 2 is used to acquire the traffic state prediction time length;
[0130] Obtaining module three, used to obtain the current actual number of navig...
Embodiment 3
[0174] Figure 5 Specific examples of the present invention are shown. Such as Figure 5 As shown, assuming that the current moment is 12:30 on September 30, 2018, then Figure 5 The road traffic status displayed in is the predicted value at 13:00 of the day, and different colors can be used to indicate congestion or smooth flow. The effect of this dynamic prediction method after the actual application of scene 1 and scene 2 road sections is as follows:
[0175] Scenario section: When calculating the traffic volume of the adjacent downstream section in the next forecast period to be 15, define the road carrying capacity data table based on the navigation data based on the different traffic conditions of the expressway generated after learning, and output the road carrying capacity defined based on the navigation data The traffic state prediction result of the road section under the force is unblocked.
[0176]Scene 2 road section: When the traffic volume of the adjacent do...
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