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Online Traffic Condition Evaluation Method for Connected Vehicles Based on Multisource Data Fusion
Joint Authors
Wang, Li
Wang, Pang-wei
Yu, Hong-bin
Xiao, Lin
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
With the development of connected vehicle (CV) and Vehicle to X (V2X) communication, more traffic data is being collected from the road network.
In order to predict future traffic condition from connected vehicles’ data in real-time, we present an online traffic condition evaluation model utilizing V2X communication.
This model employs the Analytic Hierarchy Process (AHP) and the multilevel fuzzy set theory to fuse multiple sources of information for prediction.
First, the contemporary vehicle data from the On Board Diagnostic (OBD) is fused with the static road data in the Road Side Unit (RSU).
Then, the real-time traffic evaluation scores are calculated using the variable membership model.
The real data collected by OBU in field test demonstrates the feasibility of the evaluation model.
Compared with traditional evaluation systems, the proposed model can handle more types of data but demands less data transfer.
American Psychological Association (APA)
Wang, Pang-wei& Yu, Hong-bin& Xiao, Lin& Wang, Li. 2017. Online Traffic Condition Evaluation Method for Connected Vehicles Based on Multisource Data Fusion. Journal of Sensors،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1187303
Modern Language Association (MLA)
Wang, Pang-wei…[et al.]. Online Traffic Condition Evaluation Method for Connected Vehicles Based on Multisource Data Fusion. Journal of Sensors No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1187303
American Medical Association (AMA)
Wang, Pang-wei& Yu, Hong-bin& Xiao, Lin& Wang, Li. Online Traffic Condition Evaluation Method for Connected Vehicles Based on Multisource Data Fusion. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1187303
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187303