The present disclosure provides a method comprising receiving a rideshare request from a user, the rideshare request including a destination; transporting the passenger to the destination using an autonomous vehicle (AV) having a plurality of windows comprising electrically switchable smart glass; during the transporting, monitoring a metric related to arrival of the AV at the destination; and untinting the windows when the monitored metric has a prescribed relationship to a threshold value.

The disclosure relates to controlling a vehicle having an autonomous driving mode. An example method may include identifying a pullover location for the vehicle. As the vehicle approaches the pullover location, information identifying one or more road users may be received. A behavior prediction for each of the one or more road users may be received. One of one of the one or more road users may be identified based on the received behavior predictions for each of the one or more road users and a collision zone for the vehicle. After waiting for the identified one to pass the vehicle, the vehicle may be maneuvered in the autonomous driving mode into the pullover location.

Systems and methods for predicting travel patterns of a vehicle or one or more occupants in the vehicle are provided. A transceiver may receive data indicative of at least one of passenger information, vehicle occupancy, vehicle status, and vehicle location from at least one of a voice recognition device, IoT sensors such as seat sensors, vehicle status sensors, or a GPS system. A processor may determine travel patterns based on the data, predict travel patterns based on the determined travel patterns, and generate a database comprising the predicted travel patterns. In addition, the processor may generate an alert if the determined travel pattern deviates from the predicted travel patterns.

A user can request, via an electronic communication, an autonomous vehicle, such as a taxi, using a mobile device. Once the autonomous vehicle arrives at a pickup location, a wireless electronic communication connection is established between the autonomous vehicle and the mobile device. The autonomous vehicle then generates an audible or visual cue to the user. The mobile direct generates a corresponding audible, visual, or tactile cue as directed via the established wireless electronic communication connection. In this way, the user is able to readily identify which autonomous vehicle is the one requested. In further embodiments the mobile device cue duplicates a pattern of the autonomous vehicle cue or the autonomous vehicle cue and the mobile device cue operate in a call and response fashion.

The technology employs a holistic approach to passenger pickups and other wayfinding situations. This includes identifying where passengers are relative to the vehicle and/or the pickup location. Information synthesis from different sensors, agent behavior prediction models, and real-time situational awareness are employed to identify the likelihood that the passenger to be picked up is at a given location at a particular point in time, with sufficient confidence. The system can provide adaptive navigation by helping passengers understand their distance and direction to the vehicle, for instance using various cues via an app on the person's device. Rider support tools may be provided, which enable a remote agent to interact with a customer via that person's device, such as using the camera on the device to provide wayfinding support to enable the person to find their vehicle. Ride support may also use sensor information from the vehicle when providing wayfinding support.

A controller receives sensor data during a ride and provides it to a server system. A passenger further provides feedback concerning the ride in the form of some or all of an overall rating, flagging of ride anomalies, and flagging of road anomalies. The sensor data and feedback are input to a training algorithm, such as a deep reinforcement learning algorithm, which updates an artificial intelligence (AI) model. The updated model is then propagated to controllers of one or more autonomous vehicle which then perform autonomous navigation and collision avoidance using the updated AI model.

Systems and methods for reconfiguring seats of an autonomous vehicle is provided. The method includes obtaining service request data that includes a service selection and request characteristics. The method includes obtaining data describing an initial seat configuration for each of a plurality of seats of an autonomous vehicle assigned to the service request. The initial seat configuration can include a seat position and a seat orientation for each of the plurality of seats. The method includes generating, based on the initial cabin configuration and the service request data, seat adjustment instructions configured to adjust the initial seat configuration of at least one of the seats. The method includes providing the seat adjustment instructions to the autonomous vehicle assigned to the service request.

An autonomous vehicle (AV) implements a health protocol that may reduce pathogen transmission between users of the AV. The AV is equipped with a thermal sensor that captures a body temperature of a user. The AV compares the user's temperature to a threshold temperature, and if the user's temperature exceeds the threshold temperature, the AV performs checks to ensure that the user's planned trip follows current regulations or recommendations. For example, the AV confirms that the user is traveling between the user's home and a healthcare facility. If the trip is permitted, the AV enables the user to enter the AV. The AV may include a disinfectant system for disinfecting the passenger compartment or surfaces after the user exits the AV.

This document describes methods by which a system determines a pickup/drop-off zone (PDZ) to which a vehicle will navigate to perform a ride service request. The system will access map data that includes the destination interval and define a geometric interval at the requested destination of the ride service request by: (i) using the vehicle's length and the road's speed limit at the destination to calculate a minimum allowable length for the interval; and (ii) setting start point and end point boundaries for the interval having an intervening distance that is equal to or greater than the minimum allowable length. The system will then generate a path to guide the vehicle to the interval.

An information processing device of the present disclosure includes a control unit configured to control a plurality of output devices provided in an operation area of an on-demand bus. The control unit identifies a first output device close to a boarding place of the on-demand bus among the output devices. The control unit transmits a first command to output an indication of a bus stop of the on-demand bus to the first output device at a first timing that is earlier by a first time length than a boarding date of a user.