System and method for trip randomization and gamification

A method for determining travel destinations for a host vehicle comprises:

• receiving a first user input to access a destination selection system, the destination selection system having a controller in communication with a human-machine interface (HMI) and a positioning system, the controller having a processor and a memory, the processor executing programmatic logic stored in the memory, the programmatic logic including steps for:
• displaying a plurality of icons on the HMI based on position data received from the positioning system;
• presenting a destination selection management interface having at least two selectable functions including a keyword function and a randomization function;
• including selectively presenting a plurality of destination icons relating to the selected function and selectively highlighting the plurality of destination icons based on host vehicle user preferences;
• calculating a ranking for each of the plurality of destination icons;
• determining if a threshold ranking value has been achieved;
• displaying destination icons if the threshold ranking value has been achieved;
• and
• actively sizing, resizing, and actively highlighting the displayed destination icons in accordance with the ranking of each of the displayed destination icons;
• receiving a second user input to select one of the at least two functions of the destination selection system;
• presenting information relating to the selected function;
• receiving a third user input to direct the destination selection system to select a destination;
• presenting a status of the host vehicle as the host vehicle navigates to the selected destination.

A method for determining travel destinations for a host vehicle comprises:

• receiving a first user input to access a destination selection system in a human-machine interface (HMI) of the host vehicle or selecting a destination selection system on a mobile device, the destination selection system having a controller in communication with a human-machine interface (HMI) and a positioning system, the controller having a processor and a memory, the processor executing programmatic logic stored in the memory, the programmatic logic including steps for:
• presenting a destination selection management interface having at least two selectable functions including a keyword function and a randomization function;
• receiving a second user input to select one of the at least two functions of the destination selection management interface, displaying a plurality of destination icons on the HMI based on position data received from the positioning system;
• selectively presenting the plurality of destination icons relating to the selected function and selectively highlighting the plurality of destination icons based on host vehicle user preferences, the host vehicle user preferences including manually selected preferences and automatically generated preferences;
• calculating a ranking for each of the plurality of destination icons;
• determining if a threshold ranking value has been achieved;
• displaying destination icons if the threshold ranking value has been achieved;
• and
• highlighting the displayed destination icons in accordance with the ranking of each of the displayed destination icons;
• presenting information relating to the selected function;
• receiving a third user input to direct the destination selection system to select a destination by selecting a destination icon displayed in the destination selection system;
• presenting a status of the host vehicle as the host vehicle navigates to the selected destination including selectively displaying map information, the destination selection interface, or the destination selection system, including points of interest actively and continuously sized, resized, and highlighted in relationship to proximity to the host vehicle,
• wherein calculating a ranking further comprises calculating a sum of:
• distance multiplied by a first coefficient and a first entropy factor;
• time multiplied by a second coefficient and a second entropy factor;
• cost multiplied by a third coefficient and a third entropy factor;
• social information multiplied by a fourth coefficient and a fourth entropy factor;
• and
• filtering the plurality of destination icons based on plurality of user factors, vehicle and road factors, user inferences, and events available.