System and method for placement optimization of public electric vehicle charging stations using telematics data

A system for placement optimization of public electric vehicle charging stations using telematics data comprising:

• a memory storing instructions when executed by a processor cause the processor to:
• receive vehicle telematics data from a plurality of vehicles;
• analyze the vehicle telematics data to determine clusters of candidate locations of the public electric vehicle charging stations, wherein candidate locations are output as nodes within a fully connected graph structure;
• select a subset of nodes of the fully connected graph structure that are associated with the candidate locations as optimal locations of the public electric vehicle charging stations;
• and
• control an electronic computing system to present a human machine interface to present a visualization of the optimal locations of the public electric vehicle charging stations to at least one party.

A non-transitory computer readable storage medium storing instructions that when executed by a computer, which includes a processor perform a method, the method comprising:

• receiving vehicle telematics data from a plurality of vehicles;
• analyzing the vehicle telematics data to determine clusters of candidate locations of public electric vehicle charging stations, wherein candidate locations are output as nodes within a fully connected graph structure;
• selecting a subset of nodes of the fully connected graph structure that are associated with the candidate locations as optimal locations of the public electric vehicle charging stations;
• and
• controlling an electronic computing system to present a human machine interface to present a visualization of the optimal locations of the public electric vehicle charging stations to at least one party.