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: A method is provided to generate vehicle lane speed patterns. A method may include: receiving probe data from a plurality of probes, where the probe data includes probe data point location and heading; matching probe data points to a road segment to generate map-matched probe data points; analyzing the probe data relative to the road segment to establish a multi-modal distribution of probe data representing a distance of the probe data points from a pre-defined reference position of the road segment; matching the analyzed probe data points to individual lanes of the road segment, where peaks in the established multi-modal distribution are associated with individual lanes; and generating a vehicle lane speed pattern for each lane of the road segment based on a speed associated with probe data that is map-matched to the individual lanes.

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 for improved traffic congestion estimation is provided using signal phase and timing data from traffic signals at intersections and probe data from vehicles traversing said intersections. An example method may include: identifying each of a plurality of paths through an intersection; identifying signal phase and timing data for each traffic light associated with each path through the intersection; receiving probe data for vehicles approaching or traversing the intersection; estimating a number of vehicles failing to traverse the intersection along a path through the intersection; estimating a congestion status of the path through the intersection based on the number of vehicles failing to traverse the intersection; and causing the congestion status to be provided to permit updating of a map to reflect the congestion status.

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: Systems and methods are provided for determining when a traffic signal associated with one or more paths through a road intersection is malfunctioning. Congestion prior to and subsequent to the road intersection is identified from a plurality of probe reports. A malfunctioning traffic signal is determined based on whether or not congestion is identified prior to and subsequent to the road intersection.

Abstract: A system and method are provided for determining malfunctioning traffic signals and lights. A traffic signal pattern is identified. Probe reports are received from a device. A path is generated including the road intersection for the device using location data in the two or more probe reports. The path is compared to a traffic signal. An abnormal crossing is determined from the comparison. A malfunction of the traffic signal is determined based on the abnormal crossing.

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 for identifying and indexing lanes of an intersection. Methods may include: determining a directionality for one or more lanes for each of two or more roadways proximate an intersection, where directionality is one of toward the intersection or away from the intersection; determining a bearing for each lane of the two or more roadways proximate the intersection, where the bearing includes a compass heading informed by the directionality; determining a lane position for each lane of the two or more roadways proximate the intersection; generating an order of the lanes using a hierarchy, where the hierarchy considers directionality first, bearing second, and lane position third; causing the generated order of the lanes to be stored in a memory, where the order of the lanes is associated with the intersection; and managing signal phase and timing of the intersection using the generated order of the lanes.

Abstract: In one embodiment, a method for intersection MAP message creation for vehicle communication is provided. The method includes receiving, over a network, map data for an intersection. A processor calculates a reference point location for the intersection from the map data and calculates offset values relative to the reference point location for a plurality of lanes of the intersection from the map 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: A method is provided for traffic lane and traffic signal control identification and traffic flow management. Methods may identify traffic lights controlling lane movements, cataloging the information through analysis of traffic light signal phase and timing, and analyzing traffic movement through an intersection during specific periods of time. In particular, example methods may include identifying each of a plurality of paths through an intersection; identifying states of one or more traffic lights controlling traffic through the intersection; determining vehicle throughput data for the intersection through a predetermined number of cycles of the one or more traffic lights; and matching the vehicle throughput data to each of the plurality of paths of the intersection. The method may optionally include identifying times of movement and times of non-movement of vehicles across the intersection for each of the plurality of paths.

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: 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 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: An approach is provided for state classification for a travel segment with multi-modal speed profiles. A traffic processing platform processes and/or facilitates a processing of probe data associated with at least one travel segment to determine that probe data indicates a plurality of speed profiles. The plurality of speed profiles represent one or more observed clusters of speed states. The traffic processing platform also determine that the at least one travel segment exhibits a multi-modality with respect to travel speed based, at least in part, on the plurality of speed profiles.