TY  - JOUR
PY  - 2011//
TI  - Trajectory predictions of lane changing vehicles using SVM
JO  - International journal of vehicle safety
A1  - Tomar, Ranjeet Singh
A1  - Verma, Shekhar
SP  - 345
EP  - 355
VL  - 5
IS  - 4
N2  - In this paper, we present Support Vector Machine (SVM) based prediction of the trajectory of a lane changing vehicle. SVM is used for both short-range and long-range trajectory prediction of lane changing vehicles. A lane change manoeuvre is potentially dangerous and erroneous estimation may cause a collision. The necessity of forewarning drivers of the feasibility of a safe lane change requires forecast of vehicle trajectories. For this, trajectories of vehicles involved in the lane change are modelled as discrete time series using actual field data. Results indicate that SVM is able to forecast the lane change trajectory with sufficient accuracy.    Keywords: SVM; support vector machines; ITS; intelligent transport systems; lane changing manoeuvres; traffic simulation; driver behaviour; modelling; trajectory prediction; vehicle safety; vehicle trajectories.<p /> 
LA  - en
SN  - 1479-3105
UR  - http://dx.doi.org/10.1504/IJVS.2011.045775
ID  - ref1
ER  -