Abstract:
A method, apparatus and computer program product are provided to estimate a road segment traffic tendency determination value. A current traffic speed pattern data object may be generated for an initial location of a vehicle and a future traffic speed pattern data object may be generated for an estimated downstream location of the vehicle. A road segment traffic tendency determination value may then be estimated based at least in part on the current traffic speed pattern data object and the future traffic speed pattern data object. A road segment traffic tendency notification may be provided to the vehicle.
Abstract:
A method, apparatus and computer program product are provided to selectively utilize one or more networks in order to reliably communicate the information regarding one or more traffic signals and one or more intersections controlled by respective traffic signals. In the context of a method, the method includes communicating with a first network in order to receive information with a mobile platform regarding one or more traffic signals and information regarding one or more intersections. At least one traffic signal is associated with a respective intersection. The method also includes identifying a first switching condition and communicating with a second network, different than the first network, in order to receive the information regarding the one or more traffic signals and the information regarding the one or more intersections following identification of the first switching condition.
Abstract:
A method is provided for controlling traffic lights of a road geometry network using a cloud-based traffic control system. Methods may include: receiving map data including road network geometry and traffic light locations relative to intersections of the road network geometry; receiving signal phase and timing of traffic lights at the traffic light locations; receiving probe and sensor data from a plurality of probes traversing the road network geometry; analyzing the received probe and sensor data from the plurality of probes relative to the road network geometry and the traffic light locations; determining revised signal phase and timing for at least one traffic light within the road network geometry based on the analyzed probe and sensor data relative to the road network geometry and the traffic light locations; and providing revised signal phase and timing to the at least one traffic light within the road network geometry.
Abstract:
In the example embodiments as described herein there is at least a method and apparatus to perform operations including monitoring probe data of car and truck traffic on at least one road segment including more than one lane; based on the monitoring, determining that an occurrence of a traffic jam ahead of the car and truck traffic on the at least one road segment is probable or occurring; and in response to the determining, selectively notifying at least one of a car and truck of the traffic of required or prohibited changes to at least one of their position and speed on the at least one road segment to prevent an occurrence of a traffic jam on the at least one road segment.
Abstract:
Disclosed is a method, apparatus, system and computer program configured to process traffic data and provide relevant information to a driver of a vehicle. A method that is disclosed includes receiving probe data from mobile probes; deriving, from the received probe data, an approximate traffic jam shape and traffic jam area; determining when and at what point a vehicle enters the traffic jam area, and an estimated trajectory of the vehicle within the traffic jam area; and based on the step of determining, generating and sending a message to the vehicle informing the vehicle of at least an estimated time when the vehicle will exit the traffic jam area.
Abstract:
A method is provided, which includes scanning at least one radio frequency identification (RFID) tag to obtain an identifier of the RFID tag; querying a database using the identifier of the at least one RFID tag to collect information about a location of the at least one RFID tag; determining a bias of a vehicle relative to the location of the scanned at least one RFID tag; and calculating a location of the vehicle based on the bias and the location of the at least one RFID tag.
Abstract:
A method including retrieving a multi-dimensional map from a navigation system memory; determining an aerial route between two locations based at least partially upon the multi-dimensional map; and storing the aerial route in the navigation system memory. The multi-dimensional map includes terrain information and object information. The object information includes information regarding location and size of objects extending above ground level. The objects are in uncontrolled airspace, and the object information includes height information regarding a height above ground level of at least some of the objects. The aerial route is limited to the uncontrolled airspace, where the aerial route is over and around at least some of the objects, and where the aerial route is determined, at least partially, based upon the height information of the objects.
Abstract:
Disclosed is a method, apparatus, system and computer program configured to process traffic data and provide relevant information to a driver of a vehicle. A method that is disclosed includes receiving probe data from mobile probes; deriving, from the received probe data, an approximate traffic jam shape and traffic jam area; determining when and at what point a vehicle enters the traffic jam area, and an estimated trajectory of the vehicle within the traffic jam area; and based on the step of determining, generating and sending a message to the vehicle informing the vehicle of at least an estimated time when the vehicle will exit the traffic jam area.