Moving Objects with Transportation Modes: A Survey

jianqiu Xu, Ralf Guting, Yu Zheng, Ouri Wolfson

Abstract:

In this article, we survey the main achievements of moving objects with transportation modes that span the
past decade. As an important kind of human behavior, transportation modes reflect characteristic movement features and
enrich the mobility with informative knowledge. We make explicit comparisons with closely related work that investigates
moving objects by incorporating into location-dependent semantics and descriptive attributes. An exhaustive survey is
offered by considering the following aspects: 1) modeling and representing mobility data with motion modes; 2) answering
spatio-temporal queries with transportation modes; 3) query optimization techniques; 4) predicting transportation modes
from sensor data, e.g., GPS-enabled devices. Several new and emergent issues concerning transportation modes are proposed
for future research.