Computer-implemented method for determining a position of a trailing vehicle on a defined road section, having the following steps: - a) capturing a multiplicity of ego trajectory positions (x n, y n) of ego vehicles moving on the defined road section; - b) generating a swarm trajectory (x i, y i) having a multiplicity of swarm trajectory positions (x i, y i), wherein, for predefined swarm trajectory values (y i, def), the associated swarm trajectory values (x i) are formed from the multiplicity of ego trajectory values (x n); - c) forming a standard deviation (σ i) for each formed swarm trajectory value (x i) of the swarm trajectory (x i, y i); - d) storing pairs of the generated swarm trajectory positions (x i, y i) and an associated accuracy coefficient (K G) for each swarm trajectory position (x i, y i), wherein the accuracy coefficients (K G) are proportional to the standard deviations (σ i) formed for each swarm trajectory position (x i, y i), characterized by the following further steps of: - e) receiving, from at least two different sources, respective pairs of a potential position (x pot, y pot) of the trailing vehicle on the defined road section and a source-specific accuracy coefficient (K G) associated with the potential position (x pot, y pot), wherein a first potential position (x Pot1,y Pot1) is a swarm trajectory position (x i, y i), and wherein a first accuracy coefficient (K G1) is proportional to the standard deviation (σ i) formed for the swarm trajectory position (x i, y i), wherein the swarm trajectory position (x i, y i) and the first accuracy coefficient (K G1) were generated in accordance with steps a) - d); - f) weighting each of the received potential positions (x pot, y pot) based on the associated, source-specific accuracy coefficients (K G); - g) determining the position of the trailing vehicle by fusing the weighted potential positions (x pot, y pot). - a) capturing a multiplicity of ego trajectory positions (x n, y n) of ego vehicles moving on the defined road section; - b) generating a swarm trajectory (x i, y i) having a multiplicity of swarm trajectory positions (x i, y i), wherein, for predefined swarm trajectory values (y i, def), the associated swarm trajectory values (x i) are formed from the multiplicity of ego trajectory values (x n); - c) forming a standard deviation (σ i) for each formed swarm trajectory value (x i) of the swarm trajectory (x i, y i); - d) storing pairs of the generated swarm trajectory positions (x i, y i) and an associated accuracy coefficient (K G) for each swarm trajectory position (x i, y i), wherein the accuracy coefficients (K G) are proportional to the standard deviations (σ i) formed for each swarm trajectory position (x i, y i), - e) receiving, from at least two different sources, respective pairs of a potential position (x pot, y pot) of the trailing vehicle on the defined road section and a source-specific accuracy coefficient (K G) associated with the potential position (x pot, y pot), wherein a first potential position (x Pot1,y Pot1) is a swarm trajectory position (x i, y i), and wherein a first accuracy coefficient (K G1) is proportional to the standard deviation (σ i) formed for the swarm trajectory position (x i, y i), wherein the swarm trajectory position (x i, y i) and the first accuracy coefficient (K G1) were generated in accordance with steps a) - d); - f) weighting each of the received potential positions (x pot, y pot) based on the associated, source-specific accuracy coefficients (K G); - g) determining the position of the trailing vehicle by fusing the weighted potential positions (x pot, y pot).