Developing a Travel Time Estimation Method of Freeway Based on Floating Car Using Random Forests
Joint Authors
Chen, Xianhua
Cheng, Juan
Li, Gen
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-03
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Travel time of traffic flow is the basis of traffic guidance.
To improve the estimation accuracy, a travel time estimation model based on Random Forests is proposed.
7 influence variables are viewed as candidates in this paper.
Data obtained from VISSIM simulation are used to verify the model.
Different from other machine learning algorithm as black boxes, Random Forests can provide interpretable results through variable importance.
The result of variable importance shows that mean travel time of floating car t-f, traffic state parameter X, density of vehicle Kall, and median travel time of floating car tmenf are important variables affecting travel time of traffic flow; meanwhile other variables also have a certain influence on travel time.
Compared with the BP (Back Propagation) neural network model and the quadratic polynomial regression model, the proposed Random Forests model is more accurate, and the variables contained in the model are more abundant.
American Psychological Association (APA)
Cheng, Juan& Li, Gen& Chen, Xianhua. 2019. Developing a Travel Time Estimation Method of Freeway Based on Floating Car Using Random Forests. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1170207
Modern Language Association (MLA)
Cheng, Juan…[et al.]. Developing a Travel Time Estimation Method of Freeway Based on Floating Car Using Random Forests. Journal of Advanced Transportation No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1170207
American Medical Association (AMA)
Cheng, Juan& Li, Gen& Chen, Xianhua. Developing a Travel Time Estimation Method of Freeway Based on Floating Car Using Random Forests. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1170207
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170207