An information processing method, an information processing system, an information processing device, and an information terminal of the present invention, accepts a destination for the vehicle, then searches for the travel route to the destination and sets as a first travel route, and sets a travel start time to start traveling on the first travel route. Then, vehicle information is acquired for the vehicle in advance of the travel start time by a prescribed time after the setting of the first travel route; and a travel route to the destination is searched again and a second travel route is set based on the vehicle information.

An information processing device includes a controller, a ride detection device configured to detect a ride of a user, a storage device configured to store action data of the user, an output device configured to output question data for requesting an answer from the user, and an input device configured to receive an input from the user. The controller outputs, from the output device, output data including at least a question regarding an action of the user taken before riding in a vehicle in accordance with positional information of the vehicle when detecting the ride of the user based on a signal acquired from the ride detection device, acquires an answer to the question from the user as input data via the input device, and associates the input data with the positional information of the vehicle or a POI to store the associated data in a storage device.

A computer-implemented method and computer program product for directing a driver of an electric vehicle to a point of interest and a charging station in close proximity to the point of interest. The method includes the steps of: (a) receiving from a user a requested activity of interest; (b) identifying one or more points of interest matching the requested activity of interest and that are within a pre-determined point of interest range from the electric vehicle; (c) identifying charging stations within a pre-determined station distance from each of the identified points of interest; and (d) presenting to the user the identified points of interest having an identified charging station within the pre-determined station distance. The computer program is configured to perform the aforementioned steps.

Systems and methods for providing product samples to users in autonomous vehicles, thereby allowing businesses to advertise their products via the rideshare platform. A physical advertising platform is provided leveraging existing rideshare and delivery infrastructure to allow businesses to advertise their products by providing samples in rideshare vehicles and/or with rideshare vehicle deliveries. Consumers have the opportunity to try new products from local businesses that they may otherwise not be exposed to. In some implementations, a rideshare application interface can allow users to see what new local product samples are available. In some examples, a user can select one or more product samples to try.

A parking cruise request is received. A network version starting segment is identified and a route determination algorithm is expended starting at the network version starting segment. When the route determination algorithm is expanded to a new segment, a cost value is determined for the new segment based at least on the likelihood of finding parking on the new segment. Responsive to determining that the likelihood of finding parking along the cruise route does satisfy the threshold probability requirement, map version agnostic identifiers for each segment of the cruise route are generated. Each of the map version agnostic identifiers are coded using at least one coding function to generate coded map version agnostic identifiers. A bloom filter having the coded map version agnostic identifiers as members is generated. A parking cruise route response comprising the bloom filter is provided such that a mobile apparatus receives the parking cruise route response.

A curbside management system and method for managing curbside use by connected and/or autonomous vehicles that includes one or more computing devices that execute instructions. One or more processors integrate at least a navigation component, an asset verification component, and a curbside management component, configured to generate recommended curbside access destinations for a vehicle associated with the customer and one of which is selected as the final curbside destination for the vehicle.

An operational system of the present disclosure is an operational system for a plurality of fuel cell electric vehicles. The operational system is equipped with a decision unit that decides a single operational route based on supply amounts of hydrogen available from a plurality of hydrogen stations respectively, from among a plurality of candidates of an operational route of each of the fuel cell electric vehicles, and a scheduling unit that schedules the filling of each of the fuel cell electric vehicles with hydrogen at the hydrogen station or hydrogen stations included on the decided operational route. The decision unit decides the new operational route based on post-change available supply amounts of hydrogen in the case where the supply amounts of hydrogen available from the respective hydrogen stations change when each of the fuel cell electric vehicles runs on the decided operational route.

An apparatus, method and computer program product are provided for predicting wrong-way-driving events. A WWD event defines an event in which a vehicle travels in a direction opposing a traffic direction designated for a portion of a road. In one example, the apparatus estimates a likelihood of portion of the road inducing a wrong-way-driving (WWD) event by using a machine learning model as a function of map data, sensor data, or a combination thereof. If the likelihood satisfies a threshold, the apparatus updates a map layer to indicate the WWD event at the portion of the road.

A system includes a GPS module, user interface module, database and routing engine. To find nearby POIs in one embodiment the routing engine identifies POIs in the database located within a threshold distance from the planned route in Euclidean distance. The routing engine filters the results by exploring the road network to determine whether each of the POIs is within the threshold distance of the route in driving distance. The filtering may include exploring outward from the POI, until all roads within the threshold distance are explored or the route is reached; alternatively, distance to the POIs is checked by exploring outward from the route until all roads within the threshold distance of the route have been exposed. For those POIs reached in the exploration, the nearest point on the route and the distance to that point are known. Similar searches are performed based on driving time rather than distance.

An information providing device includes an acquirer configured to acquire one or more pieces of orientation information indicating orientations of one or more users, a determiner configured to determine priority item information, which is item information to be preferentially provided, based on reference information in which a specific point and item information for each item of the specific point are associated with each other, and the one or more pieces of orientation information acquired by the acquirer, and a provider configured to allow an information output device associated with at least a part of the one or more users to output the priority item information.