Methods for determining routes for routing vehicle include computing, in a digital map a route from route source to route destination. Such methods further include determining sub-route of the computed route, which ends at the destination and along which the vehicle could be parked. And such methods still further include extending the computed route beyond the route destination in area around the route destination until route parking probability of parking route, including links of the determined sub-route and/or of the extension of the computed route, is equal to or greater than predetermined threshold whilst total expected travel time, associated with the extended computed route and comprising driving and walking times, is minimized. The route parking probability is the probability that parking at some point along the extended computed route will be possible and wherein one or more links of the parking route are suitable for parking.

Systems, computing devices, and methods for indicating a geographic location of transportation for a user are disclosed. According to an aspect, a method includes determining an approximate time when a user is expected to use a mode of transportation. The method also includes determining an estimated time to travel from a current geographic location of the user to a current geographic location of the mode of transportation. Further, the method includes presenting, via a computing device of the user, a message at a time based on the determined approximate time and the determined estimated time.

Technologies and techniques for checking a transport journey of a user via an electronics management system. A user books the transport journey at a starting point via an electronic management system, and the transport journey being carried out from the starting point to a destination to be reached. A planned completion of a first route portion of the transport journey is carried out using the autonomously driving vehicle, where a completion of a second route portion of the transport journey is planned and carried out using an alternative means of transportation to the autonomously driving vehicle. The electronic management system checks whether the completion of the second route portion can be carried out using the alternative means of transportation at the transfer point, and if not, the transport journey is continued toward the destination by means of the autonomously driving vehicle.

A server communicates with a terminal device used by a user, and an external server. The server includes a memory, a server, and a processor. The memory stores map information and timetable information for public transportation. The server communication device acquires, from the external server, a rental place and a riding start time of a vehicle reserved by the user. The processor sets the rental place as a destination and the riding start time as an arrival time based on the map information and the timetable information, and executes a route search. The processor controls the server communication device such that the server communication device outputs a route, a mode of transport, and an estimated travel time, which are acquired from the route search, and that the second application displays, as the users' schedule, the route, the mode of transport, and the estimated travel time.

An embodiment electronic device includes a display module, a communicator configured to communicate with a server, an input module, and a controller configured to determine a route to be guided as a shortest path, from an indoor route or an outdoor route based on an input received at the input module from a user or based on an external environment, determine a route from a departure point to an arrival point based on the route to be guided as the shortest path, and control the display module to display the determined route.

An interactive digital map of a geographic area is provided via a user interface. A request to obtain travel directions to a destination is received via the user interface. Respective indications of candidate rides for at least a portion of a route to the destination are requested from third-party providers, each of the indications including a pick-up location, a price estimate, and pick-up time. The requested indications of the candidate rides are received. A ranking of the candidate rides is determined using at least one of the corresponding pick-up locations, the price estimates, or the pick-up times, and a listing of the candidate rides is provided via the user interface in accordance with the determined ranking. In response to one of the candidate rides being selected via the user interface, a request for the selected ride is transmitted to the corresponding third-party provider.

A system can receive a destination change request inputted by a passenger of an autonomous vehicle, where the destination change request comprises a request to change a first destination of the passenger to a second destination. In response to receiving the destination change request, the system determines a feasibility indicator for the autonomous vehicle to travel to the second destination, and based on the feasibility indicator, determines a suggested destination being different from the second destination. The system transmits an instruction to a computing system of the autonomous vehicle, causing the computing system of the autonomous vehicle to reroute the autonomous vehicle to the suggested destination. The system then transmits an instruction to a computing device associated with a non-autonomous vehicle, where the instruction comprises a request or invitation for a driver of the non-autonomous vehicle to transport the passenger from the suggested destination to the second destination.

An information processing apparatus according to an embodiment includes an acquisition unit, an estimation unit, and a provision unit. The acquisition unit acquires stop information concerning a situation of a stop of a user at a facility on a route from a place of departure to a place of destination. The estimation unit estimates an amount of time required to the place of destination, based on the stop information that is acquired by the acquisition unit. The provision unit provides a content that is based on the amount of time required that is estimated by the estimation unit.

A mobile computing device is provided that includes a processor configured to determine a recommended route for a user of the mobile computing device to travel from a first location to a second location, the recommended route including at least a public transportation segment. The processor is further configured to detect position information for the user of the mobile computing device, detect an off-route condition during the public transportation segment based on the position information, the off-route condition indicating that the user has deviated from the recommended route during the public transportation segment by a predetermined threshold, and based on at least detecting the off-route condition during the public transportation segment, programmatically determine a new route to the second location.

A computer-implemented method, system, and/or computer program product optimizes an operation of an aerial drone to transport a product to a customer. Processor(s) receive an order for a product from a customer. In response to determining that the customer is authorized to have the product delivered by the aerial drone, the processor(s) identify a weight, size, item type, and value of the product, and determine whether the aerial drone is physically able to lift and transport the product, based on a distance to the customer and a cost effectiveness of using the aerial drone over another mode of transportation. The aerial drone is coupled to the product and launched. In response to sensors on the aerial drone detecting a change in flight conditions while the aerial drone is flying to the customer, a drone on-board computer disengages an electric motor and engages an internal combustion on the aerial drone.