map matching algorithm of adaptive adjustment based on transferable belief model
Aigong Xu · Cehui kexue · 2009
There are some factors to be comprehensively considered that the position,the direction and the criterion of removing wrong datas.We introduce a new map-matching algorithm that employs the Transferable Belief Model(TBM).It uses belief functions to represent quantified beliefs ,which adaptively adjusting the belief.This algorithm employs the existing information to expand the belief distinction among each matching path effectively.This algorithm is simple.So they improve robustness and real time of the algorithm.