Techniques are disclosed for objectively assessing the driving performance of rideshare drivers and/or vehicles. The techniques include collecting data from various sources to aggregate trip data for several drivers and passengers over several ridesharing trips. This data may include telematics data collected from several passengers and/or drivers during each of their respective ridesharing trips, which indicates various aspects associated with operation of the vehicle. Each driver may then be correlated to his own set of trip data, such that a driving assessment may be made for each individual driver. When a new user subsequently requests a ride via a ridesharing provider, this driver assessment may be made available to the user, thereby providing the user with an objective assessment of the driver prior to the start of the scheduled ride.

An online ride-hailing information processing method and apparatus, a device, and a computer storage medium, relating to big data computing and deep learning technologies in the field of AI technologies, are disclosed. A specific solution involves: acquiring an online ride-hailing query condition including information of an origin and a destination sent by a client; determining a query time range according to the query condition; calculating cost information of arrival at the destination departing at a plurality of times in the query time range respectively; determining, according to the cost information of arrival at the destination departing at the plurality of times, a time meeting the query condition as a recommended departure time; determining a recommended order-sending time according to the recommended departure time; and returning a query result to the client, the query result including the recommended order-sending time, or further including cost information corresponding to the recommended order-sending time. According to the present disclosure, users can select a low-cost order-sending time, which improves user experience, saves network resources, and reduces the influence on system performance.

An online ride-hailing information processing method and apparatus, a device, and a computer storage medium, relating to big data computing and deep learning technologies in the field of AI technologies, are disclosed. A specific solution involves: acquiring an online ride-hailing query condition including information of an origin and a destination sent by a client; determining a query time range according to the query condition; calculating cost information of arrival at the destination departing at a plurality of times in the query time range respectively; determining, according to the cost information of arrival at the destination departing at the plurality of times, a time meeting the query condition as a recommended departure time; determining a recommended order-sending time according to the recommended departure time; and returning a query result to the client, the query result including the recommended order-sending time, or further including cost information corresponding to the recommended order-sending time. According to the present disclosure, users can select a low-cost order-sending time, which improves user experience, saves network resources, and reduces the influence on system performance.

A vehicle dispatch support device extracts one or more reserved vehicles for which a vehicle dispatch plan has been determined according to reserved vehicle dispatch request data requested by a reserved user; extracts one or more available vehicles that can arrive at a desired boarding place of the reserved user via a desired boarding place and a desired alighting place of the new user prior to a usage start time of the reserved user; calculates, as a margin time, a time difference between the usage start time and an arrival time for the available vehicles to arrive at the desired boarding place of the reserved user via the desired boarding place and the desired alighting place of the new user; and sets an available vehicle of which the margin time is short as a dispatch vehicle candidate to be dispatched to the new user.

A vehicle dispatch support device extracts one or more reserved vehicles for which a vehicle dispatch plan has been determined according to reserved vehicle dispatch request data requested by a reserved user; extracts one or more available vehicles that can arrive at a desired boarding place of the reserved user via a desired boarding place and a desired alighting place of the new user prior to a usage start time of the reserved user; calculates, as a margin time, a time difference between the usage start time and an arrival time for the available vehicles to arrive at the desired boarding place of the reserved user via the desired boarding place and the desired alighting place of the new user; and sets an available vehicle of which the margin time is short as a dispatch vehicle candidate to be dispatched to the new user.

A passenger information collection system is capable of acquiring a photographic image from a camera installed in a periphery of a road and including: a reception part that receives user information on a user who made a reservation from a vehicle dispatching system that dispatches a passenger vehicle; an image acquisition part that acquires a photographic image of a person who made a dispatch request for a taxicab, from the camera based on the user information; a confirmation part that confirms whether or not a person is wearing a mask based on an image of the person in the photographic image; and a transmission part that transmits information of whether or not the person who made the dispatch request for the taxicab is wearing a mask to a terminal of a company to which the dispatch request for the taxicab is made.

A passenger information collection system is capable of acquiring a photographic image from a camera installed in a periphery of a road and including: a reception part that receives user information on a user who made a reservation from a vehicle dispatching system that dispatches a passenger vehicle; an image acquisition part that acquires a photographic image of a person who made a dispatch request for a taxicab, from the camera based on the user information; a confirmation part that confirms whether or not a person is wearing a mask based on an image of the person in the photographic image; and a transmission part that transmits information of whether or not the person who made the dispatch request for the taxicab is wearing a mask to a terminal of a company to which the dispatch request for the taxicab is made.

An information processing apparatus, when the controller receives a first notification indicating that an equipment installed in a vehicle is in an inappropriate state that is not in a predetermined state from the vehicle shared by multiple users, reads borrowing information that includes a combination of information indicating a period of use of the vehicle and identification information of the user who uses the vehicle during the period of use. The information processing apparatus identifies one or more users as transmission destinations of a second notification indicating that the vehicle is in the inappropriate state based on reference time based on the first notification and the period of use. The information processing apparatus transmits the second notification to the user terminals used by the identified one or more users.

An information processing apparatus, when the controller receives a first notification indicating that an equipment installed in a vehicle is in an inappropriate state that is not in a predetermined state from the vehicle shared by multiple users, reads borrowing information that includes a combination of information indicating a period of use of the vehicle and identification information of the user who uses the vehicle during the period of use. The information processing apparatus identifies one or more users as transmission destinations of a second notification indicating that the vehicle is in the inappropriate state based on reference time based on the first notification and the period of use. The information processing apparatus transmits the second notification to the user terminals used by the identified one or more users.

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.