Method for predicting future driving conditions for a vehicle

A method for predicting future driving conditions for a vehicle, comprising the following steps:

• a) gathering time-dependent sensor data from sensors on board the vehicle while the vehicle is traveling on a route;
• b) determining a time-dependent position of the vehicle;
• c) associating the gathered time-dependent data with the determined time-dependent vehicle position;
• d) converting the time-dependent associated data into spatially equidistant associated data and creating a map depending on the spatially equidistant associated data;
• e) traveling the route again, the map being updated in real time depending on time-dependent associated data from the repeated traveling;
• f) obtaining a prediction of future driving conditions when traveling the route again, based on the determined vehicle position and the map, wherein
• the map is depicted by a directed graph, wherein converted time-dependent associated data are assigned to each node of the graph;
• depending on the determined vehicle position and the map, a prediction of future location-dependent parameters on the traveled route is made, wherein the prediction is made starting from a node of the directed graph that corresponds to the determined vehicle position;
• and
• the prediction extends over a prediction range that covers a multiplicity of nodes of the directed graph, wherein, in the event that the prediction range extends beyond a branch of the directed graph, nodes of a plurality of branch portions adjoining the branch are taken into consideration to make the prediction.