Patent classifications
G08G1/07
GEOMETRY-BASED MODEL FOR ROAD EDGE DETECTION AT INTERSECTIONS
A system, map server and method of navigating a vehicle through an intersection. The map server includes a remote processor and a communication device. The remote processor determines a first road edge for a first road entering an intersection and a second road edge for a second road entering the intersection. The remote processor constructs an intersection edge that connects a first point on the first road edge to a second point on the second road edge. The communication device communicates the intersection edge to the vehicle. A vehicle processor at the vehicle navigates the vehicle through the intersection using the intersection edge.
GEOMETRY-BASED MODEL FOR ROAD EDGE DETECTION AT INTERSECTIONS
A system, map server and method of navigating a vehicle through an intersection. The map server includes a remote processor and a communication device. The remote processor determines a first road edge for a first road entering an intersection and a second road edge for a second road entering the intersection. The remote processor constructs an intersection edge that connects a first point on the first road edge to a second point on the second road edge. The communication device communicates the intersection edge to the vehicle. A vehicle processor at the vehicle navigates the vehicle through the intersection using the intersection edge.
Enhanced Onboard Equipment
Among other things, an equipment for use on board a first ground transportation entity has (a) a receiver for information generated by a sensor of the environment of the first ground transportation entity, (b) a processor, and (c) a memory storing instructions executable by the processor to generate and send safety message information to a second ground transportation entity based on the information generated by the sensor.
Intelligent electronic footwear and control logic for automated infrastructure-based pedestrian tracking
Presented are intelligent electronic footwear and apparel with controller-automated features, methods for making/operating such footwear and apparel, and control systems for executing automated features of such footwear and apparel. A method for automating a collaborative operation between an intelligent electronic shoe (IES) and an intelligent transportation management (ITM) system includes receiving, via a detection tag attached to the IES shoe structure, a prompt signal from a transmitter-detector module communicatively connected to a traffic system controller of the ITM system. In reaction to the received prompt signal, the detection tag transmits a response signal to the transmitter-detector module. The traffic system controller uses the response signal to determine a location of the IES's user, and the current operating state of a traffic signal proximate the user's location. The traffic system controller transmits a command signal to the traffic signal to switch from the current operating state to a new operating state.
NETWORK-BASED VEHICLE TRAFFIC SIGNAL CONTROL SYSTEM
A feature-rich, improved vehicle traffic signal control system that uses network technology is provided herein. For example, the improved vehicle traffic signal control system may include a control box and light heads that include processors. The control box in the improved vehicle traffic signal control system may include fewer components and/or fewer wires extending therefrom as compared to a typical control box. In particular, the control box in the improved vehicle traffic signal control system may not include relays, a conflict monitor, or other similar components. Rather, the improved control box may simply include a controller that is coupled to various light heads via Ethernet cables. The Ethernet cables can carry electrical power, thereby providing power to the light heads. The light head processors can use network technology to control light activation, to perform conflict monitoring, to receive data from various sensors to adjust traffic flow, etc.
NETWORK-BASED VEHICLE TRAFFIC SIGNAL CONTROL SYSTEM
A feature-rich, improved vehicle traffic signal control system that uses network technology is provided herein. For example, the improved vehicle traffic signal control system may include a control box and light heads that include processors. The control box in the improved vehicle traffic signal control system may include fewer components and/or fewer wires extending therefrom as compared to a typical control box. In particular, the control box in the improved vehicle traffic signal control system may not include relays, a conflict monitor, or other similar components. Rather, the improved control box may simply include a controller that is coupled to various light heads via Ethernet cables. The Ethernet cables can carry electrical power, thereby providing power to the light heads. The light head processors can use network technology to control light activation, to perform conflict monitoring, to receive data from various sensors to adjust traffic flow, etc.
METHOD AND APPARATUS FOR DETECTING TERMINAL THAT DEVIATES FROM CLUSTER
The present disclosure relates to a method and apparatus for detecting a vulnerable road user or a terminal of the vulnerable road user that deviates from a cluster. A base station detects the deviation of a second terminal from the cluster on the basis of a safety message received from a first terminal, and transmits a warning message to at least one of a peripheral terminal and a traffic control center. The first terminal and the second terminal are included in the same cluster, the safety message includes at least one of cluster information associated with the mobility of the cluster and user information associated with the mobility of the first terminal, and the warning message includes deviation information association with the second terminal.
STOPPED VEHICLE DETECTION AND VALIDATION SYSTEMS AND METHODS
Systems and methods for verifying stopped traffic and/or fallen object alarms include an image sensor configured to capture a stream of images of a traffic scene, a stopped object component configured to identify a stopped object in the captured images, define an associated object location in the captured images, and classify the detected object. A background modeling system models at least two background images, a slow background image and a fast background image. A DNN is trained to receive the object information and background images to verify the alarm condition.
Dynamic Traffic Management Using Disparate Data Sources
A computer system that performs a remedial action is described. During operation, the computer system may receive information corresponding to traffic conditions in an environment (such as traffic flows in at least a portion of a city), where the information is associated with different types of sources distributed in the environment, and the environment includes multiple intersections and roadways. Then, the computer system may identify an event in at least a portion of the environment based at least in part on the information, such as predicting a change in a traffic condition in the environment in a subsequent time interval. Next, the computer system may perform a remedial action based at least in part on the identified event, such as: providing an alert about the event; providing an instruction based at least in part on the event; and/or modifying traffic management in at least the portion of the environment.
Dynamic Traffic Management Using Disparate Data Sources
A computer system that performs a remedial action is described. During operation, the computer system may receive information corresponding to traffic conditions in an environment (such as traffic flows in at least a portion of a city), where the information is associated with different types of sources distributed in the environment, and the environment includes multiple intersections and roadways. Then, the computer system may identify an event in at least a portion of the environment based at least in part on the information, such as predicting a change in a traffic condition in the environment in a subsequent time interval. Next, the computer system may perform a remedial action based at least in part on the identified event, such as: providing an alert about the event; providing an instruction based at least in part on the event; and/or modifying traffic management in at least the portion of the environment.