Vehicles in traffic cannot coordinate their actions properly in 5G and 6G without knowing the location and the wireless address of the other vehicle. GNSS signals are generally too slow and too imprecise to discern vehicles in, for example, adjacent lanes. Directional wireless beams are subject to reflections from conducting surfaces, producing chaotic signals and false locations if more than one vehicle is within the transmission beam. To provide precise localization in traffic, methods are disclosed for multiple vehicles (or other mobile devices) to acquire satellite signals simultaneously, and then analyze the data differentially, thereby canceling major uncertainties (such as propagation variations, ephemeris motion, and clock jitter), and thereby determining the relative positions precisely. Unlike prior-art “precision” positioning methods, the disclosed methods do not require averaging multiple acquisitions. On the contrary, examples show how high differential precision can be obtained without averaging, using measurements acquired at the predetermined time.

The disclosure describes embodiments for modifying a vehicle component of an ego vehicle based on ranging and misbehavior information determined from digital data included in a Vehicle-to-Everything (V2X) message. In some embodiments, a method includes generating Received Signal Strength (RSS) data describing an RSS value for the V2X message which is originated by a remote vehicle. The method includes determining range data corresponding to the RSS value describing a first range from the ego vehicle to the remote vehicle. The method includes determining that the remote vehicle is providing inaccurate sensor data (an example of misbehavior information) by comparing the first range to a second range which is described by the sensor data which is extracted from the V2X message. The method includes modifying an operation of the vehicle component so that the vehicle component does not consider the sensor data that is provided by the remote vehicle.

Mobile wireless terminals, such as vehicles in traffic, can determine the relative positions of other vehicles with improved precision by arranging to acquire GNSS (global navigational satellite system) signals simultaneously, and then analyzing the various data sets differentially. Simultaneous acquisition can cancel many important errors such as motional errors of the vehicles, atmospheric distortions, and satellite timebase errors. Differential analysis to determine the relative positions of vehicles (as opposed to their overall geographical coordinates) can reduce errors related to satellite ephemeris and velocity, as well as roundoff errors. Localization with a precision of less than 1 meter can greatly improve collision avoidance while discriminating near-miss scenarios from imminent collisions, according to some embodiments. Messaging examples, in 5G and 6G, to manage the simultaneous acquisition and differential analysis, are provided in examples. Many other aspects are disclosed.

A method is provided for encoding traffic incident and flow data using target map locations, such as OpenStreetMap (OSM) locations directly, rather than going through a conversion stage. In exemplary embodiments, the method can include selecting a set of fixed, identifiable locations along a roadbed, matching these to a target map, generating flow vectors in the target map's referencing model, and deliver only target map location data to the external application. Non-point location data such as incidents can also be represented using the same scheme, using an offset along a previously defined path for the start and end points.

A utility meter device (1002) including a communications receiver (110) for receiving file fragments for the device, a processing means (150), eg microprocessor, microcontroller, and programmable non-volatile memory means (120), eg flash, EEPROM, for building and storing application and date files from the fragments, and executing a meter application of the device by processing at least one application file and associated data identified by configuration instructions in at least one of the fragments to provide data for reconfiguring a meter through a control interface (1016).

System and method including a plurality of surface vehicles and a plurality of events to be performed by each of the surface vehicles. Each of the vehicles is equipped with an electronic control unit including a receiver and a decoder for the instructions received from a vehicle movement optimizer. The plurality of events include instructions of movements from an origin to a destination, and actions for each of the surface vehicles. The decoder decodes instructions received from the surface vehicle movement optimizer. The optimizer configures an optimized schedule of the preliminary plan by modifying the events based on either the vehicle attributes or updates submitted by the electronic control unit from the vehicle to the optimizer.

Disclosed is a 5G or pre-5G communication system for supporting a data transmission rate higher than that of a 4G communication system such as LTE. Provided in the present disclosure is a relay-based communication method for a communication terminal provided in a vehicle, comprising the steps of: acquiring global positioning system (GPS) coordinates of the vehicle; determining a traveling direction of the vehicle on the basis of map information and the GPS coordinates; sensing a traveling lane of the vehicle; generating a location code including information on the GPS coordinates, the traveling direction, and the traveling lane; and generating a message, which includes the generated location code, and transmitting the message.

Examples are provided for traffic pole verification systems. In one example, a traffic detection system in a vehicle includes a navigation sensor, a communication system, a processor, and a storage device storing instructions executable by the processor to determine a current location information of the vehicle, obtain a referring traffic pole information based on the current location information, receive one or more of cryptographic pole data and associated cryptographic sign data via the communication system from a transmitter associated with a prospective referring traffic pole including an associated traffic sign mounted thereon; and selectively control one or more vehicle systems of the vehicle based on cryptographic verification of the prospective referring pole using the obtained referring traffic pole information; wherein the cryptographic verification of the prospective referring pole is performed after successful signature verification of the one or more of cryptographic pole data and associated cryptographic sign data.

Communication between autonomous vehicles, in 5G or 6G, is necessary for cooperative hazard avoidance and to coordinate the flow of traffic. However, before cooperative action, each vehicle must determine the wireless address of other vehicles in proximity, so that they can communicate directly with each other. Methods and systems disclosed herein include a computer-readable wireless “connectivity matrix”, an array of black and white squares showing a connectivity code. The connectivity code may be the vehicle's wireless address, an index code, or other information about the vehicle. The connectivity code may be an index in a tabulation of information that provides the wireless address, among other data. Other vehicles, or their cameras, may read the connectivity matrix, determine the code therein, and find the vehicle's wireless address. After determining the wireless address of the other vehicles, the vehicles can then communicate and cooperate to avoid accidents and facilitate the flow of traffic.

An information prompt system and method for a vehicle are provided. The information prompt system includes a vehicle control apparatus, configured to acquire a planned traveling state of the vehicle and control the vehicle to enter the planned traveling state, and further configured to in response to the fact that at least one of the planned traveling state, a vehicle state, a driving mode state and a task state changes, generate a corresponding prompt information generation instruction based on the type of change; an information analysis apparatus, configured to acquire the prompt information generation instruction and determine prompt information according to the prompt information generation instruction; and an information prompt apparatus, configured to display the prompt information.