Reducing vehicle occupant activity

A computer program product, comprising:

• one or more non-transitory computer readable storage media and program instructions collectively stored on one or more computer readable storage media, the stored program instructions comprising:
• program instructions to receive vehicle alert data corresponding to a road traffic event;
• program instructions to generate a user alert prompt corresponding to the vehicle alert data;
• program instructions to transmit the user alert prompt to a user vehicle satisfying a first condition;
• program instructions to receive a user response from an occupant of the user vehicle;
• and
• responsive to receiving an affirmative user response from the occupant, program instructions to activate one or more vehicle activity systems;
• wherein the vehicle alert data comprises vehicle information and incident information, the road traffic event is a suspected vehicle event, and the affirmative user response is a track vehicle user response corresponding to a user command to track a suspected vehicle described in the vehicle information;
• and
• the stored program instructions further comprising:
• program instructions to determine that the suspected vehicle is identified in proximate vehicle image data by:
• receiving proximate vehicle image data at a second machine learning model,
• processing, by the second machine learning model, the proximate vehicle image data, and
• generating, by the second machine learning model, model output data corresponding to a probability that one or more vehicles represented in the proximate vehicle image data is the suspected vehicle.

A computer system, comprising:

• one or more computer processors;
• one or more computer readable storage media;
• program instructions collectively stored on one or more computer readable storage media for execution by at least one of one or more computer processors, the stored program instructions comprising:
• program instructions to receive vehicle alert data corresponding to a road traffic event;
• program instructions to generate a user alert prompt corresponding to the vehicle alert data;
• program instructions to transmit the user alert prompt to a user vehicle satisfying a first condition;
• program instructions to receive a user response from an occupant of the user vehicle;
• and
• responsive to receiving an affirmative user response from the occupant, program instructions to activate one or more vehicle activity systems;
• wherein the vehicle alert data comprises vehicle information and incident information, the road traffic event is a suspected vehicle event, and the affirmative user response is a track vehicle user response corresponding to a user command to track a suspected vehicle described in the vehicle information;
• and
• the stored program instructions further comprising:
• program instructions to determine that the suspected vehicle is identified in proximate vehicle image data by:
• receiving proximate vehicle image data at a second machine learning model,
• processing, by the second machine learning model, the proximate vehicle image data, and
• generating, by the second machine learning model, model output data corresponding to a probability that one or more vehicles represented in the proximate vehicle image data is the suspected vehicle.