Method and system for dynamic mobile data communication
Methods, systems, and computing platforms for mobile data communication are disclosed. The processor(s) may be configured to receive a plurality of user mobile parking beacon data and storing the user mobile parking beacon data in a computer readable database for a mobile device. The processor(s) may be configured to process the user mobile parking beacon data with a machine learning processor as to output at least one most probable lane location vector associated with the mobile device. The processor(s) may be configured to electronically output the at least one most probable lane location vector to a parking processing module.
1 . A system configured for data communication, the system comprising:
one or more hardware processors configured by machine-readable instructions to:
electronically receiving a plurality of user mobile data associated with a mobile communication device;
electronically sampling a plurality of user mobile parking beacon data including multiple geolocations and storing user mobile parking sampling beacon data in a computer readable database associated with the mobile communication device;
triangulation processing the user mobile parking sampling beacon data with a machine learning processing module; responsive thereto, electronically outputting at least one probable lane location vector data associated with the mobile communication device; and
electronically transmitting the at least one probable lane location vector data to a parking processing module and a barrier processing module; wherein the one or more hardware processors are further configured by machine-readable instructions to further comprise electronically receiving a network call from a voice communications network and the network call being assigned to the barrier processor and electronically determining a network address associated with the network call.
2 . The system of claim 1 , wherein the one or more hardware processors are further configured by machine-readable instructions to further comprise electronically transmit a digital command to the barrier processor to engage a movable barrier associated with the at least one probable lane location vector data.
3 . The system of claim 1 , wherein the learning processor module comprises deep machine learning.
4 . The system of claim 1 , wherein the one or more hardware processors are further configured by machine-readable instructions to further comprise electronically transmit a data packet to the parking processing module, wherein the data packet includes at least one lane attribute data element and at least one channel attribute data element.
5 . The system of claim 1 , wherein the user mobile parking beacon data includes at least one expected lane attribute data element.
6 . The system of claim 1 , wherein the user mobile parking beacon data includes at least one beacon signal strength attribute data element.
7 . The system of claim 1 , wherein the one or more hardware processors are further configured by machine-readable instructions to further comprise electronically transmit a digital command to the barrier processor to open a movable barrier associated with the at least one probable lane location vector data and the network address.
8 . A computing platform configured for data communication, the computing platform comprising:
a non-transient computer-readable storage medium having executable instructions embodied thereon; and
one or more hardware processors configured to execute the instructions to:
electronically receiving a plurality user mobile data associated with a mobile communication device;
electronically sampling a plurality of user mobile parking beacon data including multiple geolocations and storing user mobile parking sampling beacon data in a computer readable database associated with the mobile communication device;
triangulation processing the user mobile parking sampling beacon data with a machine learning processing module; responsive thereto, electronically outputting at least one probable lane location vector associated with the mobile communication device; and
electronically transmitting the at least one probable lane location vector to a parking processing module and a barrier processing module; wherein electronically receiving a network call from a voice communications network and the network call being assigned to the barrier processor and electronically determining a network address associated with the network call.
9 . The computing platform of claim 8 , wherein the one or more hardware processors are further configured by the instructions to electronically output at least one expected lane attribute data element associated with the mobile communication device responsive to said triangular processing of the user mobile parking sampling beacon data machine learning processing module.
10 . The computing platform of claim 9 , wherein the one or more hardware processors are further configured by the instructions for the machine learning processing module including convolutional neural network filters.