Two Online Map Matching Algorithms Based on Analytic Hierarchy Process
  and Fuzzy Logic
Jeremy J. Lin Tomoro Mochida Riley C. W. O'Neill Atsuro Yoshida Masashi Yamazaki Akinobu Sasada
Our aim of this paper is to develop new map matching algorithms and to
improve upon previous work. We address two key approaches: Analytic Hierarchy
Process (AHP) map matching and fuzzy logic map matching. AHP is a
decision-making method that combines mathematical analysis with human judgment,
and fuzzy logic is an approach to computing based on the degree of truth and
aims at modeling the imprecise modes of reasoning from 0 to 1 rather than the
usual boolean logic. Of these algorithms, the way of our applying AHP to map
matching is newly developed in this paper, meanwhile, our application of fuzzy
logic to map matching is mostly the same as existing research except for some
small changes. Because of the common characteristic that both methods are
designed to handle imprecise information and simplicity for implementation, we
decided to use these methods.