Abstract: A method performed by a computing system includes receiving from a detection system, a plurality of identity tokens. The plurality of identity tokens include different types of identity tokens. The method further includes associating each of the plurality of identity tokens with a node of a graph, incrementing an edge between two nodes of the graph in response to determining that the two identity tokens associated with the two nodes were detected by the first detection system within a detection time window, decrementing the edge between the two nodes in response to determining that one of the identity tokens associated with one of the two nodes is detected within a detection time window without detecting one of the identity tokens associated with the other of the two nodes, and correlating the identity tokens associated with the two nodes based on a value of the edge.

Abstract: A method includes receiving from a first detection system, a plurality of identity tokens, the plurality of identity tokens including different types of identity tokens, the first detection system having a plurality of different types of detection instruments, receiving from a second detection system, a number of identity tokens, the second detection system having a plurality of different types of detection instruments, using information from the first detection system and the second detection system, creating correlation information that correlates different types of identity tokens, using information from the first detection system and the second detection system, determining path likelihood for a plurality of moving objects passing through the first detection system and the second detection system, and updating the correlation information using the path likelihood for the plurality of moving objects.

Abstract: A method performed by a computing system includes receiving from a first detection system, a plurality of identity tokens, the plurality of identity tokens including different types of identity tokens, the first detection system having a plurality of different types of detection instruments. The method further includes using information from the first detection system, creating correlation information that correlates different types of identity tokens. The method further includes receiving from a second detection system, a number of identity tokens, the second detection system having a plurality of different types of detection instruments that is fewer than the first detection system. The method further includes using the number of identity tokens received from the first and second detection systems, identifying a vehicle passing through the second detection system.

Abstract: A method performed by a computing system includes receiving from a detection system, a plurality of identity tokens. The plurality of identity tokens include different types of identity tokens. The method further includes associating each of the plurality of identity tokens with a node of a graph, incrementing an edge between two nodes of the graph in response to determining that the two identity tokens associated with the two nodes were detected by the first detection system within a detection time window, decrementing the edge between the two nodes in response to determining that one of the identity tokens associated with one of the two nodes is detected within a detection time window without detecting one of the identity tokens associated with the other of the two nodes, and correlating the identity tokens associated with the two nodes based on a value of the edge.

Abstract: A method performed by a computing system includes receiving from a detection system, a plurality of identity tokens. The plurality of identity tokens include different types of identity tokens. The method further includes associating each of the plurality of identity tokens with a node of a graph, incrementing an edge between two nodes of the graph in response to determining that the two identity tokens associated with the two nodes were detected by the first detection system within a detection time window, decrementing the edge between the two nodes in response to determining that one of the identity tokens associated with one of the two nodes is detected within a detection time window without detecting one of the identity tokens associated with the other of the two nodes, and correlating the identity tokens associated with the two nodes based on a value of the edge.

Abstract: A method performed by a computing system includes receiving from a first detection system, a plurality of identity tokens, the plurality of identity tokens including different types of identity tokens, the first detection system having a plurality of different types of detection instruments. The method further includes using information from the first detection system, creating correlation information that correlates different types of identity tokens. The method further includes receiving from a second detection system, a number of identity tokens, the second detection system having a plurality of different types of detection instruments that is fewer than the first detection system. The method further includes using the number of identity tokens received from the first and second detection systems, identifying a vehicle passing through the second detection system.

Abstract: A method includes receiving from a first detection system, a plurality of identity tokens, the plurality of identity tokens including different types of identity tokens, the first detection system having a plurality of different types of detection instruments, receiving from a second detection system, a number of identity tokens, the second detection system having a plurality of different types of detection instruments, using information from the first detection system and the second detection system, creating correlation information that correlates different types of identity tokens, using information from the first detection system and the second detection system, determining path likelihood for a plurality of moving objects passing through the first detection system and the second detection system, and updating the correlation information using the path likelihood for the plurality of moving objects.

Abstract: A method includes receiving sensor data from a sensor system associated with a roadway, the sensor data comprising information for speed and timing of vehicles passing within a managed lane of the roadway. The method further includes determining, based on the sensor data a current level-of-service for the managed lane. The method further includes comparing the current level-of-service for the managed lane with a target level-of-service for the managed lane. The method further includes calculating a price adjustment for the managed lane based on a difference between the current level-of-service and the target level-of-service, the price adjustment having a non-linear relationship between the price adjustment and the difference.

Abstract: A method performed by a computing system includes receiving from a detection system, a plurality of identity tokens. The plurality of identity tokens include different types of identity tokens. The method further includes associating each of the plurality of identity tokens with a node of a graph, incrementing an edge between two nodes of the graph in response to determining that the two identity tokens associated with the two nodes were detected by the first detection system within a detection time window, decrementing the edge between the two nodes in response to determining that one of the identity tokens associated with one of the two nodes is detected within a detection time window without detecting one of the identity tokens associated with the other of the two nodes, and correlating the identity tokens associated with the two nodes based on a value of the edge.