A method for predicting a hazard element on a driving route for a personal mobility device, and guiding the predicted hazard element on the driving route to a customer is provided A hazard element guide server includes a server communication unit that communicates with a customer terminal possessed by a first customer, and receives an application message including information on at least one of a first departure point and a first driving time for use of a first personal mobility. A server controller extracts a first historical driving record corresponding to at least one of a second departure point positioned within a predetermined radius, and estimates a destination included in the extracted first historical driving record as a final destination, and the server controller guides the first customer away from a hazard element that is predicted on a first driving route from the first departure point to the final destination.

A method of operation of a navigation system includes: receiving a search request for a point of interest; determining a travel route based on a user profile; generating a candidate result for the point of interest based on a deviation relative to the travel route along the travel route; and communicating the candidate result for displaying on a device and proximate to the travel route.

The disclosure provides for a method for determining a route for passenger comfort and operating a vehicle according to the determined route. To start, a set of routes from a start location to an end location may be determined. Each route includes one or more portions. For each route of the set of routes, a total motion sickness value is determined based on a sway motion sickness value, a surge motion sickness value, and a heave motion sickness value for each of the given portions. The total motion sickness value for a route reflects a likelihood that a user will experience motion sickness while in a vehicle along the route. A route may then be selected from the set of routes based on the total motion sickness value of each route of the set of routes, and the vehicle may be maneuvered according to the selected route.

A method executed by an information processing device includes acquiring first information indicating use records of a user for each of a plurality of transportations, acquiring second information indicating preference levels of the user for each of the transportations, and outputting third information suggesting the user to use at least one transportation among the transportations, based on the first information and the second information.

A driver assistance method for a vehicle includes the steps of establishing an energy prediction for a route on the basis of an anticipated driver behavior, determining a driving behavior which is optimized with regard to the energy prediction, and outputting an action recommendation on the basis of the optimized driving behavior.

A storage medium storing an information processing program for controlling a first terminal which is used by a first user who has an administrator right for a specific vehicle is provided. The information processing program causes the first terminal to perform a step of acquiring a second user ID from a second terminal which is used by a second user who wants to use the specific vehicle and a step of transmitting a registration request signal for requesting registration of the second user ID in a predetermined list to a management server device.

Apparatus, systems, and/or methods may provide travel assistance. For example, a determination may be made that a user is to begin driving in the near future. In addition, a determination may be made of one or more predicted destinations when the user is to begin driving in the near future. Thus, travel assistance may be provided to the user based on the one or more predicted destinations when the user is to begin driving in the near future.

A rider state modification system for improving a state of a rider in a vehicle includes a first neural network that operates to classify a state of the vehicle through analysis of information about the vehicle captured by an Internet-of-things device during operation of the vehicle. The rider state modification system further includes a second neural network that operates to optimize at least one operating parameter of the vehicle based on the classified state of the vehicle, information about a state of a rider occupying the vehicle, and information that correlates vehicle operation with an effect on rider state.

A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform certain acts. The acts can include obtaining a sequence of stops and service time windows for the stops. The acts also can include generating a sequence of driver states that satisfies the sequence of the stops. The acts further can include determining, for each pair of respective sequential driver states from the sequence of driver states, whether to generate a respective recommendation to add a respective additional driver state within the respective sequential driver states in order to satisfy a set of rules. The acts additionally can include updating the sequence of driver states based on the respective recommendations, such that the sequence of driver states is feasible in view of the service time windows and the set of rules. The acts further can include outputting the sequence of driver states. Other embodiments are described.

A method for determining a route (100) for a vehicle. When selecting a route segment (110, 112) of the route (100), a condition value assigned to the route segment (110, 112) and a default value associated with the route (100) are taken into account. The condition value represents a road condition of the route segment (110, 112) and the default value represents a road quality that is preferred for the route (100) and is independent of a road category.