Deriving an equivalent real-time engine control unit (ECU) speed of a vehicle

A server device, comprising:

• one or more memories;
• and
• one or more processors, communicatively coupled to the one or more memories;
• configured to:
• obtain historical location data, concerning a vehicle, captured by a global positioning system (GPS) device of the vehicle;
• obtain historical engine control unit (ECU) data concerning the vehicle captured by an ECU of the vehicle;
• process the historical location data and the historical ECU data;
• train a machine learning model using the historical location data and the historical ECU data;
• determine, using the machine learning model, a relationship between the historical location data and the historical ECU data;
• receive current location data concerning the vehicle captured by the GPS device of the vehicle;
• receive current ECU data concerning the vehicle captured by the ECU of the vehicle;
• update the machine learning model based on the current location data and the current ECU data;
• receive real-time location data concerning the vehicle captured by the GPS device of the vehicle;
• derive, based on the real-time location data, an equivalent real-time ECU speed of the vehicle using the machine learning model;
• generate a message regarding the equivalent real-time ECU speed of the vehicle;
• and
• send the message to a remote device,
• wherein sending the message to the remote device causes the remote device to display the message.

A non-transitory computer-readable medium storing instructions, the instructions comprising:

• one or more instructions that when executed by one or more processors of a server device, cause the one or more processors to:
• obtain historical location data, concerning a vehicle, captured by a global positioning system (GPS) device of the vehicle;
• obtain historical engine control unit (ECU) data concerning the vehicle captured by an engine control unit (ECU) of the vehicle;
• process the historical location data and the historical ECU data;
• train a machine learning model using the historical location data and the historical ECU data;
• determine, using the machine learning model, a relationship between the historical location data and the historical ECU data;
• receive current location data concerning the vehicle captured by the GPS device of the vehicle;
• receive current ECU data concerning the vehicle captured by the ECU of the vehicle;
• update the machine learning model based on the current location data and the current ECU data;
• receive real-time location data concerning the vehicle captured by the GPS device of the vehicle;
• derive, based on the real-time location data, an equivalent real-time ECU speed of the vehicle using the machine learning model;
• generate a message regarding the equivalent real-time ECU speed of the vehicle;
• and
• send the message to a remote device,
• wherein sending the message to the remote device causes the remote device to display the message.