An adaptive map-matching algorithm based on hierarchical fuzzy system from vehicular GPS data.

ABSTRACT: An improved hierarchical fuzzy inference method based on C-measure map-matching algorithm is proposed in this paper, in which the C-measure represents the certainty or probability of the vehicle traveling on the actual road. A strategy is firstly introduced to use historical positioning information to employ curve-curve matching between vehicle trajectories and shapes of candidate roads. It improves matching performance by overcoming the disadvantage of traditional map-matching algorithm only considering current information. An average historical distance is used to measure similarity between vehicle trajectories and road shape. The input of system includes three variables: distance between position point and candidate roads, angle between driving heading and road direction, and average di

SUBMITTER: Tang J 

PROVIDER: S-EPMC5716534 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature