Personalized route recommendation through historical travel behavior analysis

Popular navigation applications and services optimize routes based on either distance or time, disregarding drivers’ preferences when suggesting routes. Various unknown circumstances may affect users’ travel behaviors between two locations on the road network, hence it is complicated to provide sati...

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Bibliographic Details
Published in:	GeoInformatica Vol. 26; no. 3; pp. 505 - 540
Main Authors:	de Oliveira e Silva, Rodrigo Augusto, Cui, Ge, Rahimi, Seyyed Mohammadreza, Wang, Xin
Format:	Journal Article
Language:	English
Published:	New York Springer US 01-07-2022 Springer Springer Nature B.V
Subjects:	Algorithms Analysis Behavior Computation Computer Science Customization Data Structures and Information Theory Distance Geographic information systems Geographical information systems Geographical Information Systems/Cartography Geospatial data Global positioning systems GPS Histograms Information Storage and Retrieval Information systems Multimedia Information Systems Navigation Positioning systems Probability theory Random walk Recommender systems Remote sensing Roads Scientific visualization Shortest-path problems Trajectories Travel GPS trajectories Personalized travel route recommendation Random walk with restart Temporal dependency
Online Access:	Get full text
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