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A Method of Vehicle Route Prediction Based on Social Network Analysis
Joint Authors
Malekian, Reza
Ye, Ning
Wang, Zhong-qin
Zhang, Ying-ya
Wang, Ru-chuan
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A method of vehicle route prediction based on social network analysis is proposed in this paper.
The difference from proposed work is that, according to our collected vehicles’ past trips, we build a relationship model between different road segments rather than find the driving regularity of vehicles to predict upcoming routes.
In this paper, firstly we depend on graph theory to build an initial road network model and modify related model parameters based on the collected data set.
Then we transform the model into a matrix.
Secondly, two concepts from social network analysis are introduced to describe the meaning of the matrix and we process it by current software of social network analysis.
Thirdly, we design the algorithm of vehicle route prediction based on the above processing results.
Finally, we use the leave-one-out approach to verify the efficiency of our algorithm.
American Psychological Association (APA)
Ye, Ning& Wang, Zhong-qin& Malekian, Reza& Zhang, Ying-ya& Wang, Ru-chuan. 2015. A Method of Vehicle Route Prediction Based on Social Network Analysis. Journal of Sensors،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1070077
Modern Language Association (MLA)
Ye, Ning…[et al.]. A Method of Vehicle Route Prediction Based on Social Network Analysis. Journal of Sensors No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1070077
American Medical Association (AMA)
Ye, Ning& Wang, Zhong-qin& Malekian, Reza& Zhang, Ying-ya& Wang, Ru-chuan. A Method of Vehicle Route Prediction Based on Social Network Analysis. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1070077
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070077