An operation management system (100) includes a server apparatus (102) and an operation management apparatus (103). The operation management system (100) includes: a reservation acceptance unit (111) acquiring reservation information including biometric information of a user making a boarding reservation for a vehicle, and a boarding point; a boarding information acquisition unit (120) acquiring boarding information including biometric information of the user generated by a camera (103) equipped on the vehicle and boarding place information indicating the boarding point; and an authentication unit (113) determining whether there is a match of biometric information and a boarding point that are included in each piece of the reservation information and the boarding information.

A vehicle operation management system includes a processor. The processor determines candidates for travel routes based on a boarding request including boarding location information, alighting location information, and boarding time or alighting time transmitted from a plurality of passengers, and vehicle location information, evaluates the candidates, and selects a highly-rated travel route

A vehicle operation management system includes a processor. The processor determines candidates for travel routes based on a boarding request including boarding location information, alighting location information, and boarding time or alighting time transmitted from a plurality of passengers, and vehicle location information, evaluates the candidates, and selects a highly-rated travel route

System and method for utilizing and controlling an autonomous vehicle, hailing a vehicle, and delivery vehicles. In an aspect, methods are arranged for navigation and operation of autonomous vehicles. In another aspect, a one-tap hailing process is configured, wherein destination info is not required. In another aspect, when a user hails a vehicle from a location not suitable for pickup, the user is informed to go to a nearby place within a time period. In another aspect, delivery vehicles are provided. In another aspect, methods to install a backup battery are illustrated.

System and method for utilizing and controlling an autonomous vehicle, hailing a vehicle, and delivery vehicles. In an aspect, methods are arranged for navigation and operation of autonomous vehicles. In another aspect, a one-tap hailing process is configured, wherein destination info is not required. In another aspect, when a user hails a vehicle from a location not suitable for pickup, the user is informed to go to a nearby place within a time period. In another aspect, delivery vehicles are provided. In another aspect, methods to install a backup battery are illustrated.

The present invention provides a travel assistance device (1) for a vehicle, a travel assistance system (S) for a vehicle, and a travel assistance method for a vehicle with which the waste of energy of a vehicle (V) can be suppressed. In the present invention, when an unexpected user (UI) who has alighted at a stop location other than his/her alighting location included in reservation information is identified, a confirmation notification is output to the unexpected user (UI) as to whether or not to board the vehicle (V) again. When a determination is made, based on an input from the unexpected user (UI) in response to the output confirmation notification, that the unexpected user will not board the vehicle (V) again, the vehicle (V) is started from the stop location.

The present invention provides a travel assistance device (1) for a vehicle, a travel assistance system (S) for a vehicle, and a travel assistance method for a vehicle with which the waste of energy of a vehicle (V) can be suppressed. In the present invention, when an unexpected user (UI) who has alighted at a stop location other than his/her alighting location included in reservation information is identified, a confirmation notification is output to the unexpected user (UI) as to whether or not to board the vehicle (V) again. When a determination is made, based on an input from the unexpected user (UI) in response to the output confirmation notification, that the unexpected user will not board the vehicle (V) again, the vehicle (V) is started from the stop location.

The present application discloses an improved wait time optimization system, and corresponding methods and computer-readable media. According to disclosed embodiments, the wait time optimization system generates a customized wait time period for a provider computing device that has arrived at a pickup location associated with a matched transportation request. Upon the expiration of the customized wait time period, the wait time optimization system selectively enables a cancellation option for the provider computing device that enables a user of the provider computing device to cancel the transportation request, thereby releasing the provider computing device for a new transportation request match.

The present application discloses an improved wait time optimization system, and corresponding methods and computer-readable media. According to disclosed embodiments, the wait time optimization system generates a customized wait time period for a provider computing device that has arrived at a pickup location associated with a matched transportation request. Upon the expiration of the customized wait time period, the wait time optimization system selectively enables a cancellation option for the provider computing device that enables a user of the provider computing device to cancel the transportation request, thereby releasing the provider computing device for a new transportation request match.

Aspects concern a method for predicting a path taken by a vehicle for a transport task comprising obtaining training data specifying paths taken, representing a set of valid paths as a Boolean formula, converting the Boolean formula into an OBBD[?] comprising, for each variable of a set of variables on which the Boolean formula operates, a decision node representing the variable, wherein the decision node has, for each assignment of a value to the variable represented by the decision node, an outgoing edge associated with the value, augmenting each outgoing edge of each decision node with a probability depending on the number of times the location represented by the decision node was visited in the paths specified by the training data elements and predicting a path for a given transport task by sampling an assignment of values to the variables by traversing the OBBD[?].