Shared car auxiliary vehicle configuration method, electronic device and storage medium
A technology for car sharing and vehicle configuration, which is applied in vehicle-related fields to achieve optimal configuration
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Embodiment 1
[0080] Such as figure 1 Shown is a working flow chart of a shared car auxiliary vehicle configuration method according to an embodiment of the present invention, including:
[0081] Step S101, based on the cluster analysis of the geographical data of the auxiliary vehicle and the user's browsing data of the auxiliary vehicle, dividing a plurality of resource allocation areas;
[0082] Step S102, assign the auxiliary vehicle to each resource allocation area based on historical operation data.
[0083] Specifically, step S101 determines a plurality of resource allocation regions based on the geographic data of the auxiliary vehicle and the user's cluster analysis of the browsing data of the auxiliary vehicle. The method of cluster analysis can be implemented by using existing clustering schemes, such as clustering algorithms such as meanshift and nearest neighbor algorithm. Since the resource allocation area is obtained through clustering in combination with geographical data ...
Embodiment 2
[0086] Such as figure 2 Shown is a work flow diagram of a shared car auxiliary vehicle configuration method according to the second embodiment of the present invention, including:
[0087] Step S201, acquiring geographical data of the auxiliary vehicle, performing cluster analysis on the geographical data of the auxiliary vehicle, and dividing geographical data cluster areas.
[0088] Specifically, geographic data includes where the assisting vehicle is located, such as latitude and longitude data.
[0089] After the geographic data is collected, the above data can be uploaded to the server, and the above data can also be automatically converted into text data, and the text data can be used for subsequent processing.
[0090] Preferably, the geographic data is clustered using the meanshift algorithm.
[0091] The meanshift algorithm is to find the local extremum (center point) in the density distribution of a set of data through iterative operation. Specifically, a point s...
Embodiment 3
[0111] Such as image 3 Shown is a work flow chart of a shared car auxiliary vehicle configuration method according to the third embodiment of the present invention, including:
[0112] Step S301, based on the cluster analysis of the geographical data of the auxiliary vehicle and the browsing data of the auxiliary vehicle by the user, a plurality of resource allocation areas are divided.
[0113] Step S302, based on the historical operation data, determine the number of the auxiliary vehicles in each resource allocation area.
[0114] In one of the embodiments, the auxiliary vehicles include auxiliary vehicles of multiple vehicle categories, and the determination of the number of auxiliary vehicles in each resource allocation area based on historical operation data specifically includes:
[0115] The quantity of each vehicle category of the auxiliary vehicles in each resource allocation area is determined based on historical operation data.
[0116] In one of the embodiments...
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