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A Support Vector Regression Approach for Investigating Multianticipative Driving Behavior
Joint Authors
Lu, Bin
Ni, Shaoquan
Washburn, Scott S.
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper presents a Support Vector Regression (SVR) approach that can be applied to predict the multianticipative driving behavior using vehicle trajectory data.
Building upon the SVR approach, a multianticipative car-following model is developed and enhanced in learning speed and predication accuracy.
The model training and validation are conducted by using the field trajectory data extracted from the Next Generation Simulation (NGSIM) project.
During the model training and validation tests, the estimation results show that the SVR model performs as well as IDM model with respect to the model prediction accuracy.
In addition, this paper performs a relative importance analysis to quantify the multianticipation in terms of the different stimuli to which drivers react in platoon car following.
The analysis results confirm that drivers respond to the behavior of not only the immediate leading vehicle in front but also the second, third, and even fourth leading vehicles.
Specifically, in congested traffic conditions, drivers are observed to be more sensitive to the relative speed than to the gap.
These findings provide insight into multianticipative driving behavior and illustrate the necessity of taking into account multianticipative car-following model in microscopic traffic simulation.
American Psychological Association (APA)
Lu, Bin& Ni, Shaoquan& Washburn, Scott S.. 2015. A Support Vector Regression Approach for Investigating Multianticipative Driving Behavior. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1074496
Modern Language Association (MLA)
Lu, Bin…[et al.]. A Support Vector Regression Approach for Investigating Multianticipative Driving Behavior. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1074496
American Medical Association (AMA)
Lu, Bin& Ni, Shaoquan& Washburn, Scott S.. A Support Vector Regression Approach for Investigating Multianticipative Driving Behavior. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1074496
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074496