An autonomous vehicle comprising an integrated on-vehicle system having a queue management system configured to manage a queue of passenger waypoints, wherein the integrated on-vehicle system is configured to assign the passenger waypoints to a virtual driver system (VDS) of the autonomous vehicle.

A method for displaying, on a digital map, the geographical position of vehicles available for hire, the method including the following steps: retrieving the real geographical position, at a time T0, of vehicles available for hire, for each of the vehicles: calculating, by a route calculation module, a route between: a starting point corresponding to the real geographical position of the vehicle at T0, and an arrival point defined with respect to the geographical position of a mobile terminal of a user, calculating, by a calculation module, an estimated geographical position of the vehicle at a time T2 on the calculated route, wherein T2>T0, and, at a time T1, displaying on the digital map the estimated geographical position of all or a portion of the vehicles, wherein T2>T1>T0.

An information generation system according to the present invention includes: an acquiring unit configured to acquire activity place information representing a preset activity place of a user and user information representing a characteristic of the user; and a generating unit configured to generate, based on area information including target information representing an activity target which can be a target for an activity by the user in a predetermined area and based on the activity place information and the user information, activity plan information representing a new activity plan of the user including the target information corresponding to the user information.

A method and system for generating an efficient driving route for a transportation vehicle providing a personal mobility service is disclosed. A transportation vehicle may be a car, truck, bicycle, motorcycle, or the like that transport a payload. A payload may be a person or a product being transported by the vehicle. The personal mobility service broadly refers a service that enables users to plan and book a transportation service at a convenient location and time. A plurality of transportation requests each comprising an origin and a destination is received from the users, a driving route creation device generates an efficient route that visits all destinations of the plurality of transportation requests, and the route may be presented to the users.

A system for delivering articles (34) from a start point (54) to a destination point (56), having at least one drone (20), which a) has a flight control unit (22) configured for autonomous flying, b) has at least one flight motor realized as an electric motor (24), c) has a battery (28) that supplies the flight motor with voltage, d) has a programmable control (30) unit, and e) on its underside has a coupling (34) for electrical, and preferably also mechanical, connection, having a control center (50), which is wirelessly connected to the control unit (30) of the drone (20), having a mobility network consisting of a fleet of vehicles (44), in particular road vehicles, each vehicle having a drone carrier (40), which has a mating coupling (38) that acts in combination with the coupling (36), and having a digital mobility platform (46), which is wirelessly connected to the fleet of vehicles (44) and which is informed about their travel schedules, drone carriers (40) and current locations of the vehicles (44), and is connected to the control center (50).

Distributing and rebalancing crewless vehicles (CV) by receiving a CV demand-availability gap, identifying candidate CV to relocate to close the CV demand-availability gap, identifying a candidate transport to relocate the CV to close the CV demand-availability gap, generating a candidate CV relocation plan, optimizing an overall CV relocation plan, and executing the overall CV relocation plan.

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.

A method preprocesses a set of non-scheduled lines within a multimodal transportation network of predetermined stations, by (a) for each non-scheduled line (l) of the set of non-scheduled lines, associating, to each station (p.sub.l.sup.j) of a sequence of stations ({right arrow over (p)}(l)) defining the non-scheduled line (l), at least one time interval (I(l,j)) during which a trip on the non-scheduled line (l) can depart from the station (p.sub.l.sup.j); (b) for each first station (p.sub.l.sup.j) of a non-scheduled line (l) which is reachable from a second station (p.sub.t.sup.i) of a scheduled line, adding to a set of feasible transfers between a scheduled line and a non-scheduled line, if there exists a trip (t) on the scheduled line such that a departure time at the first station (p.sub.l.sup.j) after transferring is compatible with the at least one time interval (I(l,j)) associated to the first station (p.sub.l.sup.j), the earliest transfer from the second station (p.sub.t.sup.i) on the trip (t) to the first station (p.sub.l.sup.j); and (c) outputting the set of feasible transfers between a scheduled line and a non-scheduled line for computing at least one itinerary in the multimodal transportation network.

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 delivery path generation system (20), which generates a delivery path for a delivery terminal to deliver packages to a plurality of destinations, includes destination information acquisition means (11), estimation means (12), and delivery path generation means (13). The destination information acquisition means (11) acquires destination information at least including information based on the behavior of consignees at the respective destinations. The estimation means (12) estimates whether or not the consignee is present based on the destination information. The delivery path generation means (13) generates a delivery path based on the estimation.