Self-learning safety sign for two-wheelers

1. A method, comprising:

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,

wherein the configuration to analyze the received ride parameters to create a ride model includes a configuration to determine comparison parameters including comparison points and associated ride parameters, form a decision parameter table including comparison parameters featuring ride parameters with considerable differences at a comparison point, and based on the decision parameter table, train a decision algorithm to create the ride model.

2. The method of claim 1 , wherein the ride point is a position proximal to a crosswalk on the common route.

3. The method of claim 2 , wherein the safety sign is further configured to communicate with a setup app configured for indicating a setup stage.

4. The method of claim 1 , wherein the ride model is created using machine learning techniques.

5. A self-learning safety sign comprising:

a vehicular communication device configured for vehicle-to-everything (V2X) communications with a V2X transceiver of a two-wheeler; and

a decision algorithm configured to determine a probable future path of the two-wheeler based on the communicated ride parameters and on a ride model by:

receiving ride parameters transmitted by the two-wheeler when the two-wheeler is positioned at a ride point and/or ridden along a common and divergent route, wherein the ride point is a position proximal to a crosswalk on the common route; and

analyzing the received ride parameters to create a ride model for predicting a route to be taken by the two-wheeler by determining comparison parameters including comparison points and associated ride parameters, forming a decision parameter table including comparison parameters featuring ride parameters with considerable differences at a comparison point, and based on the decision parameter table, training a decision algorithm to create the ride model.

6. The self-learning safety sign of claim 5 , further configured for interaction with a setup app for defining stages of a setup process of the sign to create the ride model.

7. The self-learning safety sign of claim 6 , wherein the setup app runs on a mobile device or on a controller of a setup two-wheeler.

8. The self-learning safety sign of claim 5 , further comprising a display configured for visually alerting a driver of a vehicle at an intersection when the sign has determined that the two-wheeler is on a route that may cross the path of the vehicle.

9. The self-learning safety sign of claim 5 , wherein the decision algorithm is configured to create the ride model using machine learning techniques.