TY - CONF
T1 - Improved Map Construction using Subtrajectory Clustering
AU - Buchin, Kevin
AU - Buchin, Maike
AU - Gudmundsson, Joachim
AU - Henriks, Jorren
AU - Hosseini Sereshgi, Erfan
AU - Sacristán, Vera
AU - Silveira, Rodrigo I.
AU - Sleijster, Jorrick
AU - Staals, F.
AU - Wenk, Carola
PY - 2020
Y1 - 2020
N2 - Map construction is the problem of reconstructing a travel network based on trajectory data of entities travelling on the network. While many map construction algorithms reconstruct the global structure of a network well, local features such as location of crossings and turns are generally harder to reconstruct correctly, in particular for noisy and irregularly sampled data. We demonstrate how subtrajectory clustering can be used to construct maps that capture both the global structure and local features well.
AB - Map construction is the problem of reconstructing a travel network based on trajectory data of entities travelling on the network. While many map construction algorithms reconstruct the global structure of a network well, local features such as location of crossings and turns are generally harder to reconstruct correctly, in particular for noisy and irregularly sampled data. We demonstrate how subtrajectory clustering can be used to construct maps that capture both the global structure and local features well.
U2 - 10.1145/3423334.3431451
DO - 10.1145/3423334.3431451
M3 - Abstract
ER -