Detecting activity type from gps traces using spatial and temporal information

European Journal of Transport and Infrastructure Research

Volumn 15, Issue 4, 2015, Pages 662-674

  Feng, Tao ^a   Timmermans, Harry J P ^a  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Activity type; GPS; Random forest

Indexed keywords

BAYESIAN NETWORKS; DECISION TREES; GLOBAL POSITIONING SYSTEM; LEARNING ALGORITHMS;

BACKGROUND INFORMATION; DETECTING ACTIVITIES; GPS TECHNOLOGIES; RANDOM FOREST MODELING; RANDOM FORESTS; SPATIAL INFORMATIONS; TEMPORAL INFORMATION; TRANSPORT MODES;

MACHINE LEARNING;

EID: 84942108177     PISSN: None     EISSN: 15677141     Source Type: Journal    
DOI: 10.18757/ejtir.2015.15.4.3103     Document Type: Article

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