Logistics allocation service generation method based on real-time information on the vehicle network

In order to increase the effectiveness of the scheme for the logistics allocation service generation and adapt to the dynamics in the process of logistics allocation service generation, a method for the logistics allocation service generation is put forward based on many kinds of real-time information on the vehicle network. After making models for the variety of physical information involved in the logistics allocation, a heuristic optimization algorithm based on improved ant colony algorithm is advanced. This algorithm not only has better performance than traditional optimizing ones, but also can adjust to the service dynamically in its execution after being improved and adapt to the changing nature of the real-time information, which features a better adaptability.