Lane change trajectory prediction using artificial neural network

被引：1
作者：
机构：
[1] Indian Institute of Information Technology-Allahabad, Deoghat, Jhalwa
来源：
Tomar, R.S. (rs63@iiita.ac.in) | 1600年 / Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland卷 / 06期
关键词：
ANNs; artificial neural networks; autonomous vehicles; driver behaviour; lane change trajectory prediction; lane changing; modelling; past motion parameters; vehicle motion; vehicle trajectory;
D O I：
10.1504/IJVS.2013.055015
中图分类号：
学科分类号：
摘要：
In this paper, the effectiveness of lane change (LC) trajectory prediction on the basis of past motion parameters of LC vehicle is studied. A vehicle's LC trajectory is modelled as a time series and back propagation neural network is used for short-range and long-range prediction. Results using field data indicate that future LC trajectory cannot be predicted with sufficient accuracy using past motion parameters of the vehicle only. The results also show variation in the change of motion parameters during LC. This suggests external neighbourhood influence and need for incorporating this to increase the accuracy of forecasting. Copyright © 2013 Inderscience Enterprises Ltd.
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页码：213 / 234
页数：21
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