Catchline International Journal of Geographical Information System, Vol. X, No. X, Month 2006, xxx–xxx Running heads (verso) J. Zhou and R. Golledge (recto) A three-step map matching method in the GIS environment A Three-step General Map Matching Method in the GIS Environment: Travel/Transportation Study Perspective

Jianyu Jack Zhou and R G Golledge

University of California Transportation Center, Working Papers from University of California Transportation Center

Abstract: Despite its application in many fields, map matching in studies of travel/transport geography is unique in two aspects: 1) The correct road links traversed by the traveler need to be unambiguously identified; 2) All the identified links should form a meaningful travel route. This paper discusses the application of map matching methodologies in the context of deriving people’s travel behavior from GPS-traced multi-modal trip data. In recognition of the disadvantages associated with the existing algorithms, this research proposed and implemented a heterogeneous map matching approach suitable for travel/activity research needs which is uniquely characterized by: 1) data preprocessing with point cluster reduction and density leverage; 2) offering the candidate solution within a pool of “the best”; 3) the balancing of matching results from multiple matching factors with rank aggregation; 4) Utilizing the network constraint attributes to increase the matching accuracy; and 5) Use of the Dempster belief test to discern the noise and off-road travel.

Keywords: map matching; point cluster reduction; density leverage; rank aggregation; Dempster Belief test; Social and Behavioral Sciences (search for similar items in EconPapers)
Date: 2006-10-01
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