A Novel Rear-End Collision Detection Algorithm Based on GNSS Fusion and ANFIS
Joint Authors
Ochieng, Washington Y.
Sun, Rui
Xie, Fei
Xue, Dabin
Zhang, Yucheng
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-21
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Rear-end collisions are one of the most common types of accidents on roads.
Global Satellite Navigation Systems (GNSS) have recently become sufficiently flexible and cost-effective in order to have great potential for use in rear-end collision avoidance systems (CAS).
Nevertheless, there are two main issues associated with current vehicle rear-end CAS: (1) achieving relative vehicle positioning and dynamic parameters with sufficiently high accuracy and (2) a reliable method to extract the car-following status from such information.
This paper introduces a novel integrated algorithm for rear-end collision detection.
Access to high accuracy positioning is enabled by GNSS, electronic compass, and lane information fusion with Cubature Kalman Filter (CKF).
The judgment of the car-following status is based on the application of the Adaptive Neurofuzzy Inference System (ANFIS).
The field test results show that the designed algorithm could effectively detect rear-end collisions with an accuracy of 99.61% and a false alarm rate of 5.26% in the 10 Hz output rate.
American Psychological Association (APA)
Sun, Rui& Xie, Fei& Xue, Dabin& Zhang, Yucheng& Ochieng, Washington Y.. 2017. A Novel Rear-End Collision Detection Algorithm Based on GNSS Fusion and ANFIS. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1171126
Modern Language Association (MLA)
Sun, Rui…[et al.]. A Novel Rear-End Collision Detection Algorithm Based on GNSS Fusion and ANFIS. Journal of Advanced Transportation No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1171126
American Medical Association (AMA)
Sun, Rui& Xie, Fei& Xue, Dabin& Zhang, Yucheng& Ochieng, Washington Y.. A Novel Rear-End Collision Detection Algorithm Based on GNSS Fusion and ANFIS. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1171126
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1171126