Abstract: A method for predicting a weather-related surface condition of a particular road segment including partitioning the geographical area into a plurality of weather cells, subdividing the geographical area into regions composed of weather cells sharing similar climatic characteristics, and for each defined region, training at least one prediction model on variables derived from weather observations associated with surface conditions observed in the region in question, and associating each road segment of the network with at least two particular prediction models.

Abstract: A method for predicting a weather condition at a particular location in a road network extending over at least one weather area divided into a plurality of weather cells, the method including steps of obtaining, from a weather forecast provider, a first data item relating to a general weather forecast for the weather area, and receiving, from a first vehicle travelling in a first weather cell, a second data item relating to an alteration of a weather condition detected by at least one sensor of the vehicle. The prediction method is remarkable in that it further includes steps of predicting a probability of a weather condition for at least one target weather cell by applying a prediction model associated with the target cell to at least the first data item and the second data item, and of transmitting the predicted weather condition to at least one second vehicle.

Abstract: A method for predicting a surface condition of a road segment. The method including, for each system in a set of road weather information systems, training a predictive model on the basis of data originating from the system, applying each model trained for a particular system to the data originating from the other systems in the set of systems in order to determine a prediction error, grouping the systems according to a similarity in prediction error, associating a particular context with each group of systems and training a predictive model for each group of systems to which a context was associated. Also disclosed is a device for implementing the prediction method.

Abstract: A method for predicting a weather condition at a particular location in a road network extending over at least one weather area divided into a plurality of weather cells, the method including steps of obtaining, from a weather forecast provider, a first data item relating to a general weather forecast for the weather area, and receiving, from a first vehicle travelling in a first weather cell, a second data item relating to an alteration of a weather condition detected by at least one sensor of the vehicle. The prediction method is remarkable in that it further includes steps of predicting a probability of a weather condition for at least one target weather cell by applying a prediction model associated with the target cell to at least the first data item and the second data item, and of transmitting the predicted weather condition to at least one second vehicle.

Abstract: An adaptive method and device for predicting a weather-related characteristic of a surface of a segment of a road network. The method includes obtaining a location and of measuring a weather-related characteristic of the surface of the roadway of a road segment on which a measuring vehicle is traveling; predicting a weather-related surface characteristic of the road segment using a weather-observation history and a first prediction model associated with the road segment; associating a second prediction model with the road segment when a difference between the measured characteristic and the predicted characteristic is greater than a threshold; and transmitting to a vehicle a prediction made by applying the associated model to the weather-observation history.

Abstract: An adaptive method and device for predicting a weather-related characteristic of a surface of a segment of a road network. The method includes obtaining a location and of measuring a weather-related characteristic of the surface of the roadway of a road segment on which a measuring vehicle is traveling; predicting a weather-related surface characteristic of the road segment using a weather-observation history and a first prediction model associated with the road segment; associating a second prediction model with the road segment when a difference between the measured characteristic and the predicted characteristic is greater than a threshold; and transmitting to a vehicle a prediction made by applying the associated model to the weather-observation history.

Abstract: Computer systems for training a machine learning model for preventing relay attacks. Including portable electronic devices capable of controlling the opening or closing, contactlessly, of an access to a road vehicle on the basis of a pretrained machine learning model. The general principle is based on the use of smartphones as a digital key for accessing a road vehicle. Machine learning is used to train a learning model capable of predicting the movement of a smartphone of this type as it approaches or moves away from the road vehicle. Subsequently, access to the road vehicle is authorized only when same receives the information on the movement of the smartphone.

Abstract: Computer systems for training a machine learning model for preventing relay attacks. Including portable electronic devices capable of controlling the opening or closing, contactlessly, of an access to a road vehicle on the basis of a pretrained machine learning model. The general principle is based on the use of smartphones as a digital key for accessing a road vehicle. Machine learning is used to train a learning model capable of predicting the movement of a smartphone of this type as it approaches or moves away from the road vehicle. Subsequently, access to the road vehicle is authorized only when same receives the information on the movement of the smartphone.

Abstract: A method for predicting a weather condition at a particular location in a road network extending over at least one weather area divided into a plurality of weather cells, the method including steps of obtaining, from a weather forecast provider, a first data item relating to a general weather forecast for the weather area, and receiving, from a first vehicle travelling in a first weather cell, a second data item relating to an alteration of a weather condition detected by at least one sensor of the vehicle. The prediction method is remarkable in that it further includes steps of predicting a probability of a weather condition for at least one target weather cell by applying a prediction model associated with the target cell to at least the first data item and the second data item, and of transmitting the predicted weather condition to at least one second vehicle.