A Map-Matching Algorithm Based on Uncertain Reasoning of Cloud Model
Kai Cao · Jisuanji fangzhen · 2007
For improving map-matching accuracy in cities having dense overpasses,the paper proposed a map-matching algorithm based on cloud model.This approach established a map-matching model by establishing cloud rules and reasoning with uncertainty based on cloud model.The cloud model integrated fuzziness with randomness of qualitative concept so as to overcome the subjective randomness in fuzzy membership grade when being determined.The simulation results,taking road network in the city as example,illustrated that higher accuracy was obtained.