Example methods, apparatus, and articles of manufacture to capture and compress telematics data are disclosed herein. An example computer-implemented method, executed by a processor, to represent telematics data includes identifying, with the processor, a physical intersection of roads, identifying, with the processor, virtual lines crossing the roads, assigning, with the processor, ordinals to the virtual lines, representing, with the processor, a physical traversal through the physical intersection captured in first telematics data by a pair of the ordinals, and storing the pair of the ordinals in second compressed telematics data.

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.

Disclosed are a mobile Internet-based integrated vehicle energy replenishment system and method, and a storage medium. The energy replenishment system comprises a first terminal, a second terminal, an intelligent scheduling unit, and a resource management unit, and is configured for sending a valet energy replenishment request, allocating a corresponding energy replenishment resource, issuing a valet energy replenishment service order, and guiding a valet energy replenishment service, wherein the first terminal comprises an energy replenishment reminding unit, a valet energy replenishment requesting unit, a vehicle authorization setting unit, and an order status displaying unit; the second terminal comprises a service personnel guiding unit, and an authorization activation unit; the intelligent scheduling unit comprises an energy replenishment resource scheduling unit, an energy replenishment type recommendation unit, a parking spot navigation unit, an automatic authorization unit, and an order generation unit; and the resource management unit comprises an energy replenishment resource management unit, and a vehicle management unit. According to the invention, energy replenishment demands of customers are effectively acquired, and thus service personnels and energy replenishment resources are scheduled much effectively; convenient and rapid energy replenishment of vehicles is achieved; and technical support is provided for the valet energy replenishment service.

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.

Certain aspects of the present disclosure provide techniques for intelligent grouping of travel data for review through a user interface. In one example, a method for providing grouped travel data to a user interface of an application includes receiving travel data from an application running on a remote device; generating one or more travel data-based features from the travel data thereby creating featurized travel data; applying a pattern mining technique to the featurized travel data to detect a plurality of patterns in the featurized travel data; for each trip record in the featurized travel data: determining a plurality of trip record groups in which the trip record falls based on the plurality of patterns; and adding the trip record to a trip record group of the plurality of trip record groups according to a prioritization scheme; and transmitting the trip record group to the application running on the remote 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.

Various embodiments of the present disclosure provide a method performed by a terminal device. The method comprises obtaining information associated with a user of the terminal device (110) and determining at least one location candidate to be visited based on the information (120). The method further comprises providing one or more candidate navigation plans based on the at least one location candidate to the user of the terminal device (130). With this method, the data or information associated with a user can be efficiently utilized to provide a customized comprehensive guidance to the user when he/she is planning a tour for a target place to be visited.

Sentiment-based navigation is provided herein. A method can include extracting features of sensor data captured by a sensor associated with a vehicle, wherein the sensor data is representative of a subject selected from a group of subjects comprising an occupant of the vehicle and an environment in which the vehicle is located, resulting in extracted features. The method can further include determining sentiment data representative of an emotional condition of the occupant of the vehicle based on an analysis of the extracted features, and generating a navigation route for the vehicle from an origin point to a destination point based on the sentiment data.