Curvature Integration Constrained Map Matching Method for GPS Floating Car Data

The paper presents a map-matching method which mainly considers the curvature integral value of the curve as a map-matching characteristic for constraining the associated matching between two adjacent GPS track points. Through the implementation of map matching experiments for floating car data on the different conditions of both route categories and sampling intervals, the proposed curvature integration constrained map-matching method could be superior to the classic floating car map matching method when evaluating them by the matching accuracy and stability.