Methods, systems, and devices are described herein. One method can include determining a cross validation model using a user input, estimating a movement of a device from a first location to a second location using the cross validation model and the user input, and determining the second location of the device using the estimated movement of the device.

A traffic monitoring system and method for mapping traffic speed and density while preserving privacy. The system can include fixed stations that make up a network and mobile probes that are associated with vehicles. The system and method do not gather, store, or transmit any unique or identifying information, and thereby preserves the privacy of members of traffic. The system and method provide real-time traffic density and speed mapping. The system and method can further be integrated with a complementary flood monitoring system and method.

Methods and arrangements for measuring similarity with respect to moving object trajectories. First and second moving object trajectories are input, each trajectory being defined by at least two spatial dimensions and a temporal dimension. At least one segment is defined with respect to each trajectory, each segment being defined between two defining points. At least one segment from the first trajectory is matched with at least one segment from the second trajectory. A spatial distance and temporal distance are each computed between the at least one segment from the first trajectory and the at least one segment from the second trajectory. The spatial distance and temporal distance are combined to provide a measure of a spatio-temporal distance between the at least one segment from the first trajectory and the at least one segment from the second trajectory. Other variants and embodiments are broadly contemplated herein.

Methods, apparatuses, and embodiments related to a technique for controlling channel usage in a wireless network in a multi-band wireless networking system. In a wireless network with multiple wireless networking devices and one or more client devices, communications between the wireless networking devices occurs via a backhaul channel, and communication between the client(s) and the wireless networking devices occurs via a fronthaul channel. Based on interference characteristics of the wireless channels, a device determines a channel usage plan, and communicates the plan via the backhaul channel to the wireless networking devices of the wireless network.

A variety of methods, controllers and algorithms are described for fusing sensor data obtained from different vehicles for use in the at least partial automatic control of a particular vehicle. The described techniques are well suited for use in conjunction with a variety of different vehicle control applications including platooning, convoying and other connected driving applications including tractor-trailer truck platooning applications.

A method for distributed beacon management, including: broadcasting a packet from the beacon; receiving the packet at an application executing on a plurality of user devices; and transmitting beacon information extracted from the packet to the management system from the application.

Disclosed is a method comprising obtaining one or more future position estimates of a terminal device, and transmitting the one or more future position estimates to a base station and/or to a location management function, wherein the one or more future position estimates are transmitted in a message comprising a list of one or more pairs of a timestamp and an estimated future position at a time indicated by the timestamp.

A positioning and tracking system is disclosed. The positioning and tracking system includes positioning sensors disposed in a space, wherein the positioning sensors are all movable and all have functions of sensing distance, angle and time, and the positioning sensors communicate with each other to sense relative distances, relative angles and relative times between every two positioning sensors of the positioning sensors. when at least one of the positioning sensors moves in the space, the positioning sensors re-communicate with each other to instantly update the relative distances, the relative angles and the relative times between every two positioning sensors of the positioning sensors.

An apparatus and method for predicting mobility based on relative mobile characteristics are disclosed herein. The method of predicting mobility based on relative mobile characteristics includes detecting, by each of a plurality of sensor nodes of a sensor network including the plurality of sensor nodes, a change in relative location with respect to an observed node; recording, by the each of the plurality of sensor nodes, information about the detected change in relative location; generating, by the each of the plurality of sensor nodes, a mathematical model for a possibility of approach of the observed node with respect to the each of the plurality of sensor nodes using the recorded relative location change information; and predicting probabilistically, by the each of the plurality of sensor nodes, whether the observed node will approach the each of the plurality of sensor nodes using the mathematical model.

A system and method for determining and tracking a location of a participant traveling along a route wherein the participant being tracked with an RFID tag using an RFID tag reader and a timing system, the system includes a location device associated with the RFID tag and has a location data receiver for receiving location information from a location providing source, and a wireless communication interface and time stamps each received location information, and transmits tag location data over the wireless interface, and a location detection device that is in wireless communication with the location device receives the transmitted tag location data, and transmits the received location data to the timing system, with the timing system associating the received location data with the RFID tag number as provided by the RFID tag reader provided tag reads of the RFID tag associated with the location device.