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Distance and Bearing Based Vehicle Trajectory Segmentation

V. Mirge1 , K. Verma2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-4 , Page no. 677-681, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i4.677681

Online published on Apr 30, 2019

Copyright © V. Mirge, K. Verma . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: V. Mirge, K. Verma, “Distance and Bearing Based Vehicle Trajectory Segmentation,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.677-681, 2019.

MLA Style Citation: V. Mirge, K. Verma "Distance and Bearing Based Vehicle Trajectory Segmentation." International Journal of Computer Sciences and Engineering 7.4 (2019): 677-681.

APA Style Citation: V. Mirge, K. Verma, (2019). Distance and Bearing Based Vehicle Trajectory Segmentation. International Journal of Computer Sciences and Engineering, 7(4), 677-681.

BibTex Style Citation:
@article{Mirge_2019,
author = {V. Mirge, K. Verma},
title = {Distance and Bearing Based Vehicle Trajectory Segmentation},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {677-681},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4098},
doi = {https://doi.org/10.26438/ijcse/v7i4.677681}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.677681}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4098
TI - Distance and Bearing Based Vehicle Trajectory Segmentation
T2 - International Journal of Computer Sciences and Engineering
AU - V. Mirge, K. Verma
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 677-681
IS - 4
VL - 7
SN - 2347-2693
ER -

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Abstract

Segmentation of a trajectory is the problem of subdividing a trajectory into subparts where each part is homogeneous and expresses similar movement characteristics. We formalize trajectory segmentation problem using likelihood of the distance and bearing parameters. Section of a trajectory is considered homogeneous when distance between trajectory points and angular movement between them are within the user specified threshold value. We developed a framework for trajectory segmentation based on calculating distance and bearing between two trajectory points. An algorithmic framework is presented to segment the trajectory into a minimum number of segments based on the distance and bearing parameters. The algorithm has been tested on real data set.

Key-Words / Index Term

Trajectory segmentation, Bearing based segmentation, Trajectory analysis.

References

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