A vehicle sharing system includes a vehicle having interior transceiver modules associated with different passenger seating areas and a vehicle computing system (VCS) including a processor and a memory in communication with the modules and programmed to detect occupancy status of each seating area based on signals from the modules and to communicate the occupancy statuses to a remote server to facilitate scheduling of ride-sharing passengers for a specified seating area of the vehicle. The reserved seating location may be used to align the seating location/door with a passenger during pick-up, adjust vehicle accessory settings associated with the reserved seating location, and activate a visual indicator to direct the passenger to the assigned/reserved seating location.

A dispatch device includes an information acquisition unit that acquires, for each of a plurality of vehicles, location information indicating a location of the vehicle and loaded object information indicating a status of an object of transportation loaded on the vehicle and a vehicle dispatching unit that dispatches an unfilled vehicle that can carry an object of transportation so that a predetermined number or higher number of unfilled vehicles, are present around an operating vehicle that is carrying an object of transportation.

Examples are directed toward a system and method relating to mobile screening. For example, a mobile screening vehicle includes a passenger scanner that performs security scanning of a passenger on the mobile screening vehicle. The mobile screening vehicle also includes a verification system that verifies, consistent with the security scanning of passengers, that passengers on the mobile screening vehicle are approved to proceed to a secure area of a travel venue.

A travel control device is configured to make an autonomous driving vehicle travel in such a way that the autonomous driving vehicle arrives at a specified position specified by a user who intends to board the autonomous driving vehicle, when the autonomous driving vehicle has reached a predetermined range from the specified position, transmit an information sending request notifying the user terminal that the autonomous driving vehicle has reached a vicinity of the specified position and requesting sending of position identifying information for identifying a position at which the user intends to board the autonomous driving vehicle to the user terminal via a communication circuit, and when receiving the position identifying information via the communication circuit, change a position of the autonomous driving vehicle, based on the position identifying information in such a way that the autonomous driving vehicle comes close to the user.

A vehicle controller includes a first estimator, a second estimator, and a first controller. The first estimator is configured to obtain first estimation information with regard to a target vehicle that stops in a pick-up area where a plurality of vehicles is allowed to stop waiting for a user to get therein. The first estimation information indicates whether the user of the target vehicle is carrying a large piece of luggage having a size equal to or greater than a predetermined size. The second estimator is configured to obtain second estimation information indicating an other-vehicle stopping status. The other-vehicle stopping status indicates a status of another vehicle stopping around the target vehicle. The first controller is configured to cause the other vehicle to move on the basis of the first estimation information obtained by the first estimator and the second estimation information obtained by the second estimator.

Systems and methods of the present disclosure are directed to a verifying vehicle service readiness and controlling a vehicle. An example method can include communicating a service request and receiving a vehicle state payload including data descriptive of service condition item(s). The service condition item(s) can be descriptive of action(s) for placing an autonomous vehicle into appropriate condition for the vehicle service. The method can include providing, for display, the service condition item(s) to a user via a checklist element on an application. The method can include enabling a user ready element on the application based on a status of the service condition item(s) indicating that the autonomous vehicle is in appropriate condition for the vehicle service. The method can include receiving data indicative of an interaction by the user with the user ready element and, in response, communicating a request for a vehicle verification to the backend.

A computer hardware system includes a full self-driving (FSD) assistive system for assisting a user with a trip using a FSD autonomous vehicle and hardware processing configured to initiate the following executable operations. Based upon a first user input to a computing device associated with the user, a proposed route of the trip is received. A previously-stored user profile of the user and a context of the trip is retrieved. The vehicle is searched for based upon the user profile, the proposed route, and the context. The vehicle is configured using the user profile. External sensors are polled for road conditions along the route, and the road conditions are forwarded to the vehicle. An onboard analytics device of the vehicle uses the road conditions to change a driving mode of the vehicle.

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.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for determining data collection values for enhanced sensor provider vehicles in a provider vehicle pool and utilizing the data collection values to select and dispatch a provider vehicle for a transportation request. In particular, in one or more embodiments, the disclosed systems determine data collection values based on various route features for a particular enhanced sensor provider vehicle. Additionally, in one or more embodiments, the disclosed systems can utilize the data collection values in conjunction with a device matching algorithm and transportation values to select and dispatch a provider vehicle. Further, in some embodiments, the disclosed systems utilize collected sensory data to train one or more computer implemented machine learning models, such as an autonomous vehicle driving model.

Techniques are provided for autonomous vehicle fleet management for reduced traffic congestion. A request is received for a vehicular ride. The request includes an initial spatiotemporal location and a destination spatiotemporal location. A processor is used to generate a representation of lane segments. Each lane segment is weighted in accordance with a number of other vehicles on the lane segment. A vehicle located within a threshold distance to the initial spatiotemporal location is identified such that the identified vehicle has at least one vacant seat. The processor is used to determine a route for operating the identified vehicle from the initial spatiotemporal location to the destination spatiotemporal location. The route includes one or more lane segments of the lane segments. An aggregate of weights of the one or more lane segments is below a threshold value. The received request and the determined route are transmitted to the identified vehicle.