One or more processors identify an occupant of a passenger vehicle, and then receive biometric sensor readings from a biometric sensor that is monitoring the occupant in real time, where the biometric sensor readings indicate a real-time emotional state of the occupant. The processor(s) generate a personal profile for the occupant of the passenger vehicle based on the biometric sensor readings. The processor(s) receive a desired destination and travel schedule for the occupant of the passenger vehicle, as well as environmental sensor readings indicating a real-time environmental state of the passenger vehicle. The processor(s) then create a travel route for the passenger vehicle based on the biometric sensor readings, the personal profile of the vehicle occupant, the desired destination and travel schedule, and the real-time environmental state of the passenger vehicle. One or more processors then transmit, to the passenger vehicle, directions for the travel route.

Vehicular movement detection systems and methods are disclosed. A computing device is configured to monitor sensor data and location data associated with a first user device including one or more sensors, and monitor traffic data associated with a location of the first user device based on the sensor data and location data. In response to the data, the computing device determines whether to provide a user-selectable message to the first user device based on a vehicle speed, proximity to a destination, and vehicle speed relative to traffic speed. The user-selectable message comprises a prompt configured to transmit a search request for a listing location. In response to the determination, the user-selectable message is provided to the first user device. In response to receiving a search request, the computing device is configured to transmit instructions to the first user device to direct the first user device to a first listing location.

A vehicle safety analytics and routing system can be used to identify high risk areas and to assist in routing vehicles. The vehicle safety analytics and routing system brings together a variety of vehicle incident data that can be used in identifying high risk areas and in predicting risks for a vehicle. The routing aspect of the system uses vehicle incident data to assess the distribution of risk over a geographic area and to calculate risks associated with different potential vehicle routes. The calculated risks can be used to route vehicles around high risk intersections and stretches of road.

Systems and methods herein describe receiving a target location from a computing device, using a machine learning model: determining a first access point and a second access point associated with the target location, causing presentation of the first access point as a first selectable user interface element and the second access point as a second selectable user interface within a graphical user interface on the computing device, receiving a first selection of the first selectable user interface element from the computing device; and in response to receiving the first selection, and initiating a trip request based on the refined map coordinates of the first access point.

The present disclosure relates to systems and methods for processing at least one service request for an on-demand service. The systems may perform the methods to determine a start location and a destination related to the service request; determine a recommended route based on the start location and the destination; determine a reference direction related to a vehicle based on the recommended route; and send, to at least one provider terminal, data related to the reference direction.

A method (and corresponding parking facility management server, parking system, and computer program) for carrying out an automatic parking process of a vehicle includes a reservation request for a parking position of a parking facility being sent to a parking facility management server via a communication network, navigation data for an autonomous navigation to the reserved parking position corresponding to the reservation request being received by the vehicle via the communication network, and the vehicle autonomously navigating in the parking facility to the reserved parking position based on the navigation data. It is preferably provided that the vehicle autonomously pulls into the parking position, pulls out of this parking position, and travels back to a drop-off position or pick-up position, from which a driver of the vehicle may pick up the vehicle.

Computer-implemented methods and computer systems are disclosed herein as implemented by a controller operatively coupled to a network of electric vehicles. The methods and systems include the controller (i) receiving a notification that an electric vehicle is stranded without sufficient power to operate; (ii) receiving information regarding the stranded electric vehicle; (iii) detecting one or more other electric vehicles in a vicinity of the stranded electric vehicle; (iv) receiving information regarding the detected one or more other electric vehicles; and/or (v) determining, based upon the received information, which of the detected one or more other electric vehicles to send a power source request. Alternatively, the notification may indicate that an electric vehicle has a low state of charge (SOC), or is otherwise has a battery in need of being recharged to facilitate the electric vehicle traveling to a destination.

A vehicle system includes a communication interface and a processing device. The processing device determines a proximity of a host vehicle to a target location. When the proximity to the target location is less than a predetermined value, the processing device commands the communication interface to transmit the target location to a parking server. In response, the processing device receives a message identifying at least one parking zone from the parking server.

Systems and methods for using a plurality of probe reports to augment a geographic database with traffic volume data. The plurality of probe reports are identified for a road segment for a time period. A probe value is determined for the road segment for the time period based on the plurality of probe reports. A probe probability value is calculated for the road segment for the time period based on the probe value. The probe probability value is adjusted using road attributes. The adjusted probe probability value is used to estimate traffic volume. The geographic database is augmented with the estimated traffic volume.

Embodiments of the invention relate to methods for providing information relevant to using a public transportation system (PTS), the method comprising: receiving data relevant to the PTS responsive to a first user while the first user is using the PTS; and providing data relevant to the PTS to at least one of the first and a second user responsive to the received data. The received data may relate to at least one of physically relevant features and socially relevant features of the PTS. Providing data relevant to the PTS may comprise displaying information on a map comprising at least one icon indicative of a PTS vehicle and at a route of travel.