Abstract:
A plurality of instances of probe data are received. Each instance is received from a probe apparatus of a plurality of probe apparatuses each comprising a plurality of sensors and being onboard a vehicle. An instance comprises location information indicating a location of the corresponding probe apparatus. For each of one or more instances, a distance parameter is determined based on the location information and a road segment corresponding to the location. A set of distance parameters is defined based on the distance parameter determined for each of the one or more instances. The set of distance parameters is analyzed to identify clusters of probe data. The number of clusters identified is determined and compared to a historical number of clusters. If the number of clusters identified is less than the historical number of clusters, it is determined that there is a lane closure corresponding to the road segment.
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:
A method and apparatus for traffic modeling comprising: receiving by a server, traffic data generated by one or more devices configured to record data indicating speeds of vehicles traveling a road segment. The server separates, with a processor, the traffic data into zero speed data and non-zero speed data. The server determines, with the processor, a zero speed data characteristic value of the zero speed data. The server determines, with the processor, at least one non-zero speed data characteristic value of the non-zero speed data. The server generates, with the processor, a representative traffic value for the road segment as a function of the zero speed characteristic value and the non-zero speed characteristic value.
Abstract:
A plurality of instances of probe data are received. Each instance is matched to a link of a digital map. A distance parameter for each instance is determined based on the link. Based on a vehicle lane pattern for the link, a most likely lane for each instance is determined based on the corresponding distance parameter. Probe trajectories are constructed based on sequences of instances of probe data identified in the plurality of instances of probe data. At least one of the probe trajectories is analyzed based at least in part on lane change probabilities to generate at least one lane level trajectory. Lane level traffic information is determined based on the at least one lane level trajectory and the corresponding instances of probe data.
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.
Abstract:
A method, apparatus and computer program product are provided for defining a geo-defense area related to presence of a roadworker entity. In this regard, a roadwork event related to a roadwork zone region of a road segment is identified based at least in part on one or more probe apparatuses traveling along the road segment. Furthermore, presence of at least one roadworker entity within the roadwork zone region is detected based at least in part on sensor data from the one or more probe apparatuses. Based at least on part on map data related to the roadwork zone region and location data related to the roadworker entity, a geo-defense area related to the roadworker entity is defined. Additionally, an indication of the geo-defense area is provided to one or more autonomous vehicles to facilitate navigation of the one or more autonomous vehicles along the road segment.