A Bayesian Recognition Method for Highway Ambiguity Path Identification Based on Digraph

With the rapid development of the highway, the layout of road network is gradually transformed from the tree structure to the reticular structure. In order to develop a fair charging strategy, it is necessary to split the route of vehicles accurately. In this paper, a directed graph based method for ambiguous path of highway identification with Bayesian recognition algorithm is studied. Firstly, the highway network should be modeled into a digraph structure, and the 5.8G identification point or video image identification point would be mapped to the directed graph. Then a Bayesian recognition algorithm would be used to determine the actual path of the vehicle. The algorithm uses a two-stage structure, which could provide a rapid calculation at the exit lane. The method has been applied in the highway of Jiangxi Province and has achieved valuable results.