Traffic road condition prediction method and terminal equipment
A technology of traffic conditions and prediction methods, which is applied in the field of intelligent transportation, can solve problems such as unfavorable travel and increase urban traffic pressure, and achieve the effects of saving time, improving the level of comprehensive management, and improving road congestion
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Embodiment 1
[0029] figure 1 The implementation flow of the traffic road condition prediction method provided by Embodiment 1 of the present invention is shown, and the details are as follows:
[0030] Step S101, acquiring the driving data in the preset area at a preset time interval through the bayonet system.
[0031] Here, the checkpoint system can obtain the traffic data of the vehicle, identify the vehicle, record the image of the vehicle, and so on. The bayonet system can be arranged according to the actual situation. It is generally arranged on the main road. According to the road network situation, it is deployed in a network to ensure that the driving data of the vehicle is obtained on each road, and try not to miss it.
[0032] The preset time interval and the preset area can be set as required, for example, the preset time interval can be yesterday's morning and evening travel rush hour, and the preset area can be an urban area of a certain city.
[0033] Driving data includ...
Embodiment 2
[0063] In order to better understand the above method, an application example of the traffic road condition prediction method of the present invention will be described in detail below.
[0064] like figure 2 As shown, this application example may include:
[0065] Step S201, using the checkpoint system to identify the identity and driving time of vehicles passing through each checkpoint in the preset area.
[0066] Step S202, according to the identification and driving time of the vehicles passing through each checkpoint, determine the driving rules of the vehicles in the preset area.
[0067] Here, according to the collected bayonet data, the traffic rules of all vehicles passing through the bayonet are analyzed, and the driving law data is established for each vehicle, including starting point, departure time, end point, arrival time, driving route, and congestion preferred detour route , parking position, driving preference (lane, speed, following distance) and so on. ...
Embodiment 3
[0089] Corresponding to the traffic road condition prediction method described in the above embodiment, image 3 A structural block diagram of a traffic road condition prediction device provided by an embodiment of the present invention is shown, and for convenience of description, only parts related to this embodiment are shown.
[0090] refer to image 3 The device includes a driving data acquisition module 301, a traffic flow distribution map determination module 302, a bayonet speed measurement data acquisition module 303, a vehicle passing time determination module 304, a first traffic condition prediction module 305 and a second traffic condition prediction module 306.
[0091] The driving data acquisition module 301 is used to acquire the driving data in the preset area at a preset time interval through the bayonet system.
[0092] Here, the bayonet system can be arranged according to the actual situation. It is generally arranged on the main road. According to the roa...
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