z-logo
open-access-imgOpen Access
Identification of activity stop locations in GPS trajectories by DBSCAN-TE method combined with support vector machines
Author(s) -
Lei Gong,
Toshiyuki Yamamoto,
Takayuki Morikawa
Publication year - 2018
Publication title -
transportation research procedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.657
H-Index - 40
eISSN - 2352-1465
pISSN - 2352-1457
DOI - 10.1016/j.trpro.2018.10.028
Subject(s) - global positioning system , dbscan , support vector machine , computer science , cluster analysis , data mining , identification (biology) , entropy (arrow of time) , key (lock) , time to first fix , real time computing , assisted gps , artificial intelligence , gps signals , fuzzy clustering , cure data clustering algorithm , telecommunications , botany , physics , computer security , quantum mechanics , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom