A fleet travel guidance method based on k-means clustering
A technology of k-means clustering and platooning, which is applied in traffic control systems, instruments, and traffic control systems of road vehicles. It can solve problems such as inability to effectively remind the phenomenon of falling behind and poor travel induction performance, so as to reduce delay time, The effect of returning to the team quickly and easily
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[0032] The present invention will be further described below in conjunction with the accompanying drawings.
[0033] refer to figure 1 with figure 2 , a fleet travel induction method based on K-means clustering. During the fleet travel process, each vehicle in the fleet obtains the GPS position through the mobile phone and uploads it to the background server in real time. -means clustering algorithm calculates whether there is a vehicle in the convoy that has fallen behind. If it happens, the system will automatically send a reminder to the vehicle that left behind. The reminder message can be viewed on the mobile phone. The induction method includes the following steps:
[0034] Step 1. The background of the system screens from the database, and extracts the latest uploaded positions of all vehicles in the fleet (assuming n vehicles) to form a GPS position set (L 1 , L 2 , L 3 ..... L n ),As shown in Table 1.
[0035] serial number
latitude ...
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