Patent classifications
G08G1/01
Traffic flow control method and apparatus in internet of vehicles
The traffic flow control method includes: receiving, by a traffic flow control device, traffic control request signaling sent by an in-vehicle device of a first vehicle, where the traffic control request signaling includes travel information of the first vehicle and a travel intention of the first vehicle; determining, by the traffic flow control device, traffic command signaling based on the traffic control request signaling and traffic control phase information of a target intersection, where the target intersection is an intersection through which the first vehicle is to pass; and sending, by the traffic flow control device, the traffic command signaling to the in-vehicle device of the first vehicle. The traffic flow control method, the traffic flow control device, the in-vehicle device, and the computer-readable storage medium in the internet of vehicles can help a vehicle in the internet of vehicles travel safely and efficiently at an intersection.
METHODS OF COMMUNICATION IN TRAFFIC INTERSECTION MANAGEMENT
A vehicle computer for use in a vehicle. The vehicle computer includes at least one processor; an interface to a radio communications network; and a memory including software instructions configured to control the at least one processor to implement a method including steps of: receiving, from a traffic information hub in the radio communications network, intersection condition information regarding a next intersection along a route of the vehicle; and calculating route and navigation information based at least in part on the received intersection condition information. Also disclosed is a traffic information hub including: at least one processor; an interface to a data network; and a memory including software instructions configured to control the at least one processor to implement a method including steps of: receiving intersection condition information for each one of a plurality of traffic intersections; and receiving a query from a vehicle.
Method and apparatus for perception-sharing between vehicles
A method for perception-sharing between similarly-situated vehicles that are traveling on a portion of a roadway that is equipped with an intelligent vehicle highway system is described, and includes executing, in a multi-access edge computing cluster in communication with a roadside unit disposed to monitor a roadway, an application-layer routine. The application-layer routine includes collecting real-time data associated with a plurality of objects from each of the similarly-situated vehicles, predicting motion of each of the plurality of objects based upon the real-time data, object-matching the motion of each of the plurality of objects, and executing fusion of the plurality of objects based upon the object-matching of the motion of each of the plurality of objects. Locations of the similarly-situated vehicles traveling on the roadway are identified based upon the fusion of the plurality of objects. The locations are communicated to one of the similarly-situated vehicles.
TRAFFIC MONITORING USING OPTICAL SENSORS
A sensor network comprises at least one lateral optical fiber and at least one longitudinal optical fiber. The lateral fiber comprises optical sensors coupled to a pavement in a transverse orientation relative to a direction of vehicle travel along the pavement. The longitudinal fiber comprises optical sensors coupled to the pavement in a longitudinal orientation relative to the direction of vehicle travel. The optical sensors are configured to produce wavelength shift signals comprising one or more lateral strain signals associated with the lateral fiber and one or more tangential strain signals associated with the longitudinal fiber. A processor is operatively coupled to the sensor network and configured to determine a weight of vehicles moving along the pavement based on the lateral and tangential strain signals. A transmitter is operatively coupled to the processor and configured to transmit the weight of vehicles to a predetermined location.
Systems, methods, and devices for communication between traffic controller systems and mobile transmitters and receivers
Systems, methods, and devices are disclosed for improving traffic safety and efficiency. The system includes various signal transmitters and receivers positioned throughout roadways, within automobiles, in smartphones, or supported by a cellular network backbone, for distributing traffic related information to users and traffic controller equipment. Embodiments of the present disclosure allow for vehicles and/or pedestrians to initiate a dual-transmission of cellular and RF signals for changing a traffic light state, where the first signal received at a traffic intersection controller unit is processed for changing the traffic light state (e.g., changing a light from red to green on-demand). Other embodiments of the present disclosure allow for users to receive visible and/or audible traffic related alerts on mobile devices, where the alerts are based on data shared between nearby drivers, pedestrians, and the traffic controlling equipment.
Non-visual outputs for a smart ring
A system for communicating information indicative of driving conditions, to a driver, using a smart ring are disclosed. An exemplary system includes a smart ring with a ring band having a plurality of surfaces including an inner surface, an outer surface, a first side surface, and a second side surface. The system further includes a processor, configured to obtain data from a communication module within the ring band, or from one or more sensors disposed within the ring band. The obtained data is representative of information indicative of one or more driving conditions to be communicated to the driver. The smart ring also includes a haptic module disposed at least partially within the ring band, and the module being configured to communicate information indicative of the one or more driving conditions.
Methods of CD40 activation and immune checkpoint blockade
Provided herein are methods and compositions for treating cancer in an individual comprising administering to the individual an effective amount of at least one immune checkpoint inhibitor and a chimeric CD 154 polypeptide. Also provided herein are methods of enhanced immune function.
Method and apparatus for enhancing driver situational awareness
Aspects of the subject disclosure may include, for example, determining, by a system comprising a processor, a driver profile according to a driver identity for a driver of a vehicle, selecting a driver-specific enforcement scenario for the vehicle according to the driver profile and traffic enforcement information that is associated with a vehicle location, and presenting an in-vehicle alert to convey the driver-specific enforcement scenario to the driver. Other embodiments are disclosed.
METHOD AND SYSTEM FOR OPTIMIZING ROAD TRAFFIC CONTROL IN THE PRESENCE OF INCIDENTS
A method for adjusting control parameters of a traffic management system in a presence of one or more incidents on a network includes junctions in a tree format, and at a lowest level of a tree comprise a group of associated junctions using coordinated timing, wherein each junction is associated with a weight as a function of its height within its tree, and wherein a junction with a highest weight in each tree comprises a lead junction for receiving timing information for its group of associated junctions.
MOVEMENT STATE ESTIMATION DEVICE, MOVEMENT STATE ESTIMATION METHOD AND PROGRAM RECORDING MEDIUM
[Problem] To provide a motion condition estimation device, a motion condition estimation method and a motion condition estimation program capable of accurately estimating the motion condition of monitored subjects even in a crowded environment. [Solution] A motion condition estimation device according to the present invention is provided with a quantity estimating means 81 and a motion condition estimating means 82. The quantity estimating means 81 uses a plurality of chronologically consecutive images to estimate a quantity of monitored subjects for each local region in each image. The motion condition estimating means 82 estimates the motion condition of the monitored subjects from chronological changes in the quantities estimated in each local region.