A Neural Network Model for Driver’s Lane-Changing Trajectory Prediction in Urban Traffic Flow
Joint Authors
Wang, Wu-hong
Ding, Chenxi
Wang, Xiao
Baumann, Martin
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-25
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The neural network may learn and incorporate the uncertainties to predict the driver’s lane-changing behavior more accurately.
In this paper, we will discuss in detail the effectiveness of Back-Propagation (BP) neural network for prediction of lane-changing trajectory based on the past vehicle data and compare the results between BP neural network model and Elman Network model in terms of the training time and accuracy.
Driving simulator data and NGSIM data were processed by a smooth method and then used to validate the availability of the model.
The test results indicate that BP neural network might be an accurate prediction of driver’s lane-changing behavior in urban traffic flow.
The objective of this paper is to show the usefulness of BP neural network in prediction of lane-changing process and confirm that the vehicle trajectory is influenced previously by the collected data.
American Psychological Association (APA)
Ding, Chenxi& Wang, Wu-hong& Wang, Xiao& Baumann, Martin. 2013. A Neural Network Model for Driver’s Lane-Changing Trajectory Prediction in Urban Traffic Flow. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1032503
Modern Language Association (MLA)
Ding, Chenxi…[et al.]. A Neural Network Model for Driver’s Lane-Changing Trajectory Prediction in Urban Traffic Flow. Mathematical Problems in Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1032503
American Medical Association (AMA)
Ding, Chenxi& Wang, Wu-hong& Wang, Xiao& Baumann, Martin. A Neural Network Model for Driver’s Lane-Changing Trajectory Prediction in Urban Traffic Flow. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1032503
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032503