Research on the application of cellular automata and improved BP neural network in road design of logistics park

Abstract

With large-scale construction of the Logistics Parks, it has become an urgent problem to quantitatively analyze, evaluate and optimize the logistics park designing, which needs to be solved scientifically. At present, more of the domestic logistics park planning of a part of the qualitative analysis, the lack of quantitative and overall study, resulting in internal structure disjointed. Based on cellular automata theory, this paper presents a hybrid traffic flow model which is more suitable for the traffic characteristics of the logistics park, and analyzes the complexity of the collection and evacuation system in the logistics park, combined with BP neural network and its improved algorithm, the method of road design in Logistics Park is studied and the feasibility and validity of the model and algorithm are verified by an example. The train of thought is expected to provide for the planning and construction of the internal road in the logistics park.