Systems and methods for estimating vehicle traffic volume

A method for determining an expansion factor for estimating vehicle traffic volume, the method comprising operating at least one processor to:

• receive telematics data originating from a plurality of telematics devices installed in a plurality of vehicles, map data and census data related to an area within which the plurality of vehicles operate;
• determine, using the telematics data and the map data, an initial estimated vehicle traffic volume for each of a plurality of road segments along which the plurality of vehicles operate based on an amount of the plurality of vehicles that operate therealong;
• generate a total estimated vehicle traffic volume for each of the plurality of road segments along which the plurality of vehicles operate by inputting into a machine learning model the initial estimated vehicle traffic volume for each thereof and the census data;
• determine the expansion factor for each of the plurality of road segments along which the plurality of vehicles operate based at least in part on a ratio of the initial estimated vehicle traffic volume thereof to the total estimated vehicle traffic volume;
• and
• determine one or more aggregate expansion factors for a selected area, the one or more aggregate expansion factors based at least in part on a ratio of a weighted average of the initial estimated vehicle traffic volume of the one or more of the plurality of road segments located within the selected area divided by the length of each thereof to a weighted average of the total estimated vehicle traffic volume of the one or more road segments located within the selected area divided by the length of each thereof;
• and
• operate at least one of the plurality of telematics devices to communicate with one or more electrical control units that control vehicle components;
• and
• control the vehicle components based on the communication between the plurality of telematics devices and the one or more electrical control units.

A non-transitory computer-readable medium having instructions stored thereon executable by at least one processor to implement a method comprising operating the at least one processor to:

• receive telematics data originating from a plurality of telematics devices installed in a plurality of vehicles, map data and census data related to an area within which the plurality of vehicles operate;
• determine, using the telematics data and the map data, an initial estimated vehicle traffic volume for each of a plurality of road segments along which the plurality of vehicles operate based on an amount of the plurality of vehicles that operate therealong;
• generate a total estimated vehicle traffic volume for each of the plurality of road segments along which the plurality of vehicles operate by inputting into a machine learning model the initial estimated vehicle traffic volume for each thereof and the census data;
• determine the expansion factor for each of the plurality of road segments along which the plurality of vehicles operate based at least in part on a ratio of the initial estimated vehicle traffic volume thereof to the total estimated vehicle traffic volume;
• and
• determine one or more aggregate expansion factors for a selected area, the one or more aggregate expansion factors based at least in part on a ratio of a weighted average of the initial estimated vehicle traffic volume of the one or more of the plurality of road segments located within the selected area divided by the length of each thereof to a weighted average of the total estimated vehicle traffic volume of the one or more road segments located within the selected area divided by the length of each thereof;
• and
• operate at least one of the plurality of telematics devices to communicate with one or more electrical control units that control vehicle components;
• and
• control the vehicle components based on the communication between the plurality of telematics devices and the one or more electrical control units.