Acta Geodaetica et Cartographica Sinica ›› 2015, Vol. 44 ›› Issue (10): 1167-1176.doi: 10.11947/j.AGCS.2015.20140352

Previous Articles     Next Articles

Curvature Integration Constrained Map Matching Method for GPS Floating Car Data

ZENG Zhe1, LI Qingquan2,3, ZOU Haixiang4, WAN Jianhua1   

  1. 1. School of Geosciences, China University of Petroleum, Qingdao266580, China;
    2. Shenzhen Key Laboratory of Spatial Smart Sensing and Services, College of Civil Engineering, Shenzhen University, Shenzhen 518060, China;
    3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
    4. Shenzhen Urban Planning & Land Resource Research Center(P&LRC), Shenzhen 518034, China
  • Received:2014-07-07 Revised:2015-03-31 Online:2015-10-20 Published:2015-10-23
  • Supported by:
    The National Natural Science Foundation of China (Nos41101355,41271400,41371377);The Fundamental Research Funds for the Central Universities (No.13CX02034A),Shenzhen Scientific Research and Development Funding Program (No.ZDSY20121019111146499),Shenzhen Dedicated Funding of Strategic Emerging Industry Development Program (No.JCYJ20121019111128765),Open Research Fund Program of Shenzhen Key Laboratory of Spatial Smart Sensing and Services

Abstract: 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.

Key words: GPS, trajectories, map matching, curvature, curvature integration

CLC Number: