Abstract: In a vehicle-to-everything (V2X) environment and by a self-vehicle, methods and systems therefor, the methods comprising calculating a safety relevance value of a sensor detected road user or calculating a first movement similarity between the self-vehicle and a road user ahead or behind the self-vehicle and a second movement similarity between a sensor detected road user and a road user ahead or behind the sensor detected road user, and adjusting Dynamic Congestion Control (DCC) triggering condition parameters based on the calculated safety relevance value or based on the calculated first and/or second movement similarities.

Abstract: Embodiments disclosed herein provide for a method including configuring a self-learning safety sign to: establish vehicle-to-everything (V2X) communications with a two-wheeler equipped with a V2X transceiver and positioned at a ride point and/or ridden along a common and divergent route according to a setup stage for the safety sign; receive ride parameters in the V2X communications from the two-wheeler associated with the positioning and/or riding of the two-wheeler; and analyze the received ride parameters to create a ride model for determining a future route to be taken by any two-wheeler in V2X communication with the safety sign.

Abstract: Method and apparatus for traffic-aware speed guidance to a self-vehicle acting as a following vehicle vs. a followed vehicle. In a traffic environment that includes a followed vehicle and a self-vehicle that acts as a following vehicle, the apparatus is used to analyze values and change patterns of a plurality of speed inputs to obtain analyzed values, wherein a speed input of the followed vehicle is received through vehicle-to-everything (V2X) communications; to calculate, for each analyzed value, a respective TTC adjustment, to calculate a combined TTC between the self-vehicle and the followed vehicle using the TTC adjustments, and, based on the combined TTC, to calculate a new speed guidance between the self-vehicle and the followed vehicle, thereby improving traffic behavior.

Abstract: Methods and apparatuses are provided for allocating cellular vehicle-to-everything (C-V2X) radio transmission resources for transmitting messages in a C-V2X network from amongst a pool of initial resources from within a plurality of subframes. For each subframe in the plurality of subframes, it is determined whether transmitting in the subframe is likely to cause reception degradation with other C-V2X messages being transmitted in the network, and if yes, all resources in the subframe are excluded prior to allocating a resource for transmission.

Abstract: Methods for lowering the power consumption of a battery-operated pedestrian V2X device, comprising: determining a location of the pedestrian relative to a road using a physical map, determining whether a movement of the pedestrian is consistent using a heatmap, and based on the location of the pedestrian relative to the road and on the consistency of the pedestrian movement, powering down a V2X functionality inside the pedestrian V2X device by setting a V2X receiver operation cycle, a V2X transmitter activation state and a Global Navigation Satellite System (GNSS) sampling rate, thereby enabling low power operation of the pedestrian V2X device.

Abstract: Devices for low distraction operation of a bike rider group and methods for performing same. A device installed in a bike carrying a member of a bike rider group acting as self-rider, may comprise a rider input analyzer module configured to analyze a self-input provided by the self-rider and to provide a data element reflecting the self-input, a radio modem for sending a V2X message that includes the data element reflecting the self-input and for receiving V2X message that includes a data element from a remote member of the bike rider group, an alert analyzer module configured to detect an alert relevant to the self-rider based on the data element reflecting the self-input and on the data element received from the remote member, and a display configured to display the alert relevant to the self-rider with minimal distraction to the self-rider.

Abstract: Cooperative advanced driving assistance systems (ADAS) and cooperative safety systems using vehicle-to-everything (V2X) communications and methods of use. A method may comprise, by a guiding vehicle, periodically identifying an error of a nearby connected road-user and if an error is identified, transmitting a guidance message with guidance data using V2X communications to the connected road-user; and by the connected road-user as a guided road-user, using the guidance data to fix the error.

Abstract: Advanced driving assistance system (ADAS) and method for enabling V2X ASIL decomposition for operation in a self-vehicle. The ADAS includes an ADAS unit, a plurality of sensors, a corroboration unit and a state machine. The corroboration unit is configured to ignore road-users detected by one sensor if such road-users are not detected by at least one of the other sensors, and the state machine is configured to apply light braking of the self-vehicle based on an uncorroborated V2X alert on an accident risk, and to adjust the braking after the V2X alert is positively or negatively corroborated.

Abstract: Apparatus for V2X communications comprising an application layer configured to analyze a high-risk scenario involving a self-vehicle and other vehicles, an access or network layer configured to ensure reception of messages broadcast by the self-vehicle by requesting acknowledged only from vehicles identified as involved in the high-risk scenario, and an interface connecting the application layer to the access or network layer for carrying results of the analysis of the high-risk scenario and the identification of involved vehicles. In an exemplary method of use, a self-vehicle performing identifies vehicles involved in a high-risk scenario, broadcasts one or more times a first message that can prevent or mitigate the high-risk, requests acknowledgement for the first message from only the identified vehicles, and rebroadcasts the first message if acknowledgement is not received from all the identified vehicles before a predetermined condition is fulfilled.

Abstract: Cooperative advanced driving assistance systems (ADAS) and cooperative safety systems using vehicle-to-everything (V2X) communications and methods of use. A method may comprise, by a guiding vehicle, periodically identifying an error of a nearby connected road-user and if an error is identified, transmitting a guidance message with guidance data using V2X communications to the connected road-user; and by the connected road-user as a guided road-user, using the guidance data to fix the error.

Abstract: Methods and apparatus that enhance self-vehicle data using other V2X data to provide relevant data for different use-cases. The apparatus may include a V2X communication unit configured to receive V2X data from another vehicle, a combined data processor configured to process the self-vehicle data and the V2X data into combined data and to extract relevant data from the combined data, the relevant data relevant to the use-case, and a cloud communication unit configured to transmit the relevant data to a cloud. Optionally, the apparatus may also include false-negative, false-positive and accident logs for logging the relevant data before transmitting the relevant data to the cloud.

Abstract: Methods and systems for processing vehicle to everything (V2X) messages for use by machine learning applications are disclosed. From each of a plurality of vehicles, one or more V2X messages are received, each V2X message including vehicle-related data associated with the vehicle and the received message. A sequence of frames is generated based on the vehicle-related data from at least a subset of vehicles in the plurality of vehicles. Slices of the sequence of frames are aggregated to generate a plurality of time-lapse images. One or more time-lapse images are processed using a machine learning algorithm to generate an output indicative of a traffic-related prediction.

Abstract: System for evaluating driver risk, comprising a local V2X communication unit for transmitting at least one attribute from a self-vehicle to remote vehicles and for receiving in the self-vehicle at least one attribute from each of the remote vehicles, the self-vehicle and the remote vehicles having respective drivers, a local unsafe act detection unit configured to detect at least one unsafe act of the self-vehicle and to report the at least one unsafe act, and a centralized driver behavior-grading unit configured to process the reported at least one unsafe act, to grade the driver of the self-vehicle for risk, and to output a respective self-vehicle driver risk grade.

Abstract: Devices for alerting visually a vehicle at an intersection when a specific two-wheeler is detected in an alert zone associated with the intersection using vehicle-to-everything (V2X) communications, and methods for configuring and using such devices. The devices include a display for displaying the visual alert and a communication and processing unit for processing V2X messages received from two-wheelers and for determining the need for and type of visual alert. The devices may be configured remotely using an application running on an installer's mobile device.

Abstract: Embodiments disclosed herein provide for a method including configuring a self-learning safety sign to: establish vehicle-to-everything (V2X) communications with a two-wheeler equipped with a V2X transceiver and positioned at a ride point and/or ridden along a common and divergent route according to a setup stage for the safety sign; receive ride parameters in the V2X communications from the two-wheeler associated with the positioning and/or riding of the two-wheeler; and analyze the received ride parameters to create a ride model for determining a future route to be taken by any two-wheeler in V2X communication with the safety sign.

Abstract: Methods and apparatuses for allocating cellular vehicle-to-everything (C-V2X) radio transmission resources for transmitting messages in a C-V2X network from amongst a pool of initial resources comprised within a plurality of subframes are disclosed. For each subframe in the plurality of subframes, it is determined whether transmitting in the subframe is likely to cause reception degradation with other C-V2X messages being transmitted in the network, and if yes, all resources in the subframe are excluded prior to allocating a resource for transmission.

Abstract: Methods and apparatus for allocating cellular vehicle-to-everything (C-V2X) radio transmission resources for transmitting messages in a C-V2X network from amongst a pool of initial resources comprised within a plurality of subframes. For each subframe in the plurality of subframes, it is determined whether transmitting in the subframe is likely to cause reception degradation with other C-V2X messages being transmitted in the C-V2X network, and if yes, all resources in the subframe are excluded prior to allocating a resource for transmission.

Abstract: System for evaluating driver risk, comprising a local V2X communication unit for transmitting at least one attribute from a self-vehicle to remote vehicles and for receiving in the self-vehicle at least one attribute from each of the remote vehicles, the self-vehicle and the remote vehicles having respective drivers, a local unsafe act detection unit configured to detect at least one unsafe act of the self-vehicle and to report the at least one unsafe act, and a centralized driver behavior-grading unit configured to process the reported at least one unsafe act, to grade the driver of the self-vehicle for risk, and to output a respective self-vehicle driver risk grade.

Abstract: Apparatus for V2X communications comprising an application layer configured to analyze a high-risk scenario involving a self-vehicle and other vehicles, an access or network layer configured to ensure reception of messages broadcast by the self-vehicle by requesting acknowledged only from vehicles identified as involved in the high-risk scenario, and an interface connecting the application layer to the access or network layer for carrying results of the analysis of the high-risk scenario and the identification of involved vehicles. In an exemplary method of use, a self-vehicle performing identifies vehicles involved in a high-risk scenario, broadcasts one or more times a first message that can prevent or mitigate the high-risk, requests acknowledgement for the first message from only the identified vehicles, and rebroadcasts the first message if acknowledgement is not received from all the identified vehicles before a predetermined condition is fulfilled.

Abstract: Methods and systems for processing vehicle to everything (V2X) messages for use by machine learning applications are disclosed. From each of a plurality of vehicles, one or more V2X messages are received, each V2X message including vehicle-related data associated with the vehicle and the received message. A sequence of frames is generated based on the vehicle-related data from at least a subset of vehicles in the plurality of vehicles. Slices of the sequence of frames are aggregated to generate a plurality of time-lapse images. One or more time-lapse images are processed using a machine learning algorithm to generate an output indicative of a traffic-related prediction.