Affiliation of Author(s):计算机科学与技术学院/人工智能学院/软件学院
Journal:J Comput Sci Technol
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. © 2019, Springer Science+Business Media, LLC & Science Press, China.
ISSN No.:1000-9000
Translation or Not:no
Date of Publication:2019-07-01
Co-author:G&uuml,ting, Ralf Hartmut,Zheng, Yu,Wolfson, Ouri
Correspondence Author:xjq