Freeway Multisensor Data Fusion Approach Integrating Data from Cellphone Probes and Fixed Sensors
Joint Authors
Wan, Xia
He, Shanglu
Zhang, Jian
Ran, Bin
Cheng, Yang
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-03
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Freeway traffic state information from multiple sources provides sufficient support to the traffic surveillance but also brings challenges.
This paper made an investigation into the fusion of a new data combination from cellular handoff probe system and microwave sensors.
And a fusion method based on the neural network technique was proposed.
To identify the factors influencing the accuracy of fusion results, we analyzed the sensitivity of those factors by changing the inputs of neural-network-based fusion model.
The results showed that handoff link length and sample size were identified as the most influential parameters to the precision of fusion.
Then, the effectiveness and capability of proposed fusion method under various traffic conditions were evaluated.
And a comparative analysis between the proposed method and other fusion approaches was conducted.
The results of simulation test and evaluation showed that the fusion method could complement the drawback of each collection method, improve the overall estimation accuracy, adapt to the variable traffic condition (free flow or incident state), suit the fusion of data from cellphone probes and fixed sensors, and outperform other fusion methods.
American Psychological Association (APA)
He, Shanglu& Zhang, Jian& Cheng, Yang& Wan, Xia& Ran, Bin. 2016. Freeway Multisensor Data Fusion Approach Integrating Data from Cellphone Probes and Fixed Sensors. Journal of Sensors،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1110590
Modern Language Association (MLA)
He, Shanglu…[et al.]. Freeway Multisensor Data Fusion Approach Integrating Data from Cellphone Probes and Fixed Sensors. Journal of Sensors No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1110590
American Medical Association (AMA)
He, Shanglu& Zhang, Jian& Cheng, Yang& Wan, Xia& Ran, Bin. Freeway Multisensor Data Fusion Approach Integrating Data from Cellphone Probes and Fixed Sensors. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1110590
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110590