The invention discloses a real-time vehicle commodity matching method under a large-scale streaming data environment. The method comprises the following steps S1, using a distributed queue service method to collect vehicle source information and commodity source information in real time; S2, according to a type of commodities which need to be transported and a delivery condition of a truck, screening the vehicle source and commodity source information: concentratedly arranging the same type of the vehicle source information and the same type of the commodity information, and simultaneously updating the vehicle source and commodity source information which is concentratedly arranged in real time; S3, carrying out micro-clustering on each vehicle commodity type data set: in a set time window, using a clustering algorithm to carry out clustering on each vehicle commodity type data set according to a distance so that each vehicle commodity type data set generates a plurality of micro-clusters; and S4, aiming at each micro-cluster, calculating a matching scheme: in a preset time window, using an evolutionary algorithm to carry out vehicle commodity supply and demand matching combination optimization on the micro-clusters in the S3 so as to form a vehicle commodity matching scheme and store the scheme.