Title: Lane change trajectory prediction using artificial neural network

Authors: Ranjeet Singh Tomar; Shekhar Verma

Addresses: Indian Institute of Information Technology-Allahabad, Deoghat, Jhalwa, Allahabad 211012, India ' Indian Institute of Information Technology-Allahabad, Deoghat, Jhalwa, Allahabad 211012, India

Abstract: 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.

Keywords: lane change trajectory prediction; artificial neural networks; ANNs; lane changing; autonomous vehicles; vehicle trajectory; driver behaviour; modelling; past motion parameters; vehicle motion.

DOI: 10.1504/IJVS.2013.055015

International Journal of Vehicle Safety, 2013 Vol.6 No.3, pp.213 - 234

Received: 13 Oct 2010
Accepted: 25 Mar 2011
Published online: 30 Sep 2014 *

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