Open Access
Open access
volume 9 pages 59196-59210

Geometric A-Star Algorithm: An Improved A-Star Algorithm for AGV Path Planning in a Port Environment

Gang Tang 1
Congqiang Tang 1
Christophe Claramunt 1, 2
Hu Xiong 1
Peipei Zhou 3
2
 
Naval Academy Research Institute, Brest, France
3
 
School of Mechatronic Engineering, Guangdong Polytechnic Normal University, Guangzhou, China
Publication typeJournal Article
Publication date2021-03-31
scimago Q1
wos Q2
SJR0.849
CiteScore9.0
Impact factor3.6
ISSN21693536
General Materials Science
General Engineering
General Computer Science
Abstract
This research introduces a path planning method based on the geometric A-star algorithm. The whole approach is applied to an Automated Guided Vehicle (AGV) in order to avoid the problems of many nodes, long-distance and large turning angle, and these problems usually exist in the sawtooth and cross paths produced by the traditional A-star algorithm. First, a grid method models a port environment. Second, the nodes in the close-list are filtered by the functions P(x,y ) and W(x,y ) and the nodes that do not meet the requirements are removed to avoid the generation of irregular paths. Simultaneously, to enhance the stability of the AGV regarding turning paths, the polyline at the turning path is replaced by a cubic B-spline curve. The path planning experimental results applied to different scenarios and different specifications showed that compared with other seven different algorithms, the geometric A-star algorithm reduces the number of nodes by 10% ~ 40%, while the number of turns is reduced by 25%, the turning angle is reduced by 33.3%, and the total distance is reduced by 25.5%. Overall, the simulation results of the path planning confirmed the effectiveness of the geometric A-star algorithm.
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GOST |
Cite this
GOST Copy
Tang G. et al. Geometric A-Star Algorithm: An Improved A-Star Algorithm for AGV Path Planning in a Port Environment // IEEE Access. 2021. Vol. 9. pp. 59196-59210.
GOST all authors (up to 50) Copy
Tang G., Tang C., Claramunt C., Hu Xiong, Zhou P. Geometric A-Star Algorithm: An Improved A-Star Algorithm for AGV Path Planning in a Port Environment // IEEE Access. 2021. Vol. 9. pp. 59196-59210.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1109/access.2021.3070054
UR - https://doi.org/10.1109/access.2021.3070054
TI - Geometric A-Star Algorithm: An Improved A-Star Algorithm for AGV Path Planning in a Port Environment
T2 - IEEE Access
AU - Tang, Gang
AU - Tang, Congqiang
AU - Claramunt, Christophe
AU - Hu Xiong
AU - Zhou, Peipei
PY - 2021
DA - 2021/03/31
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 59196-59210
VL - 9
SN - 2169-3536
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2021_Tang,
author = {Gang Tang and Congqiang Tang and Christophe Claramunt and Hu Xiong and Peipei Zhou},
title = {Geometric A-Star Algorithm: An Improved A-Star Algorithm for AGV Path Planning in a Port Environment},
journal = {IEEE Access},
year = {2021},
volume = {9},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
month = {mar},
url = {https://doi.org/10.1109/access.2021.3070054},
pages = {59196--59210},
doi = {10.1109/access.2021.3070054}
}