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Research on global path planning of intelligent vehicles based on improved ant colony algorithm

Research on global path planning of intelligent vehicles based on improved ant colony algorithm

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2903609447

Research on global path planning of intelligent vehicles based on improved ant colony algorithm

About this item

Full title

Research on global path planning of intelligent vehicles based on improved ant colony algorithm

Publisher

Bristol: IOP Publishing

Journal title

Journal of physics. Conference series, 2023-12, Vol.2674 (1), p.12027

Language

English

Formats

Publication information

Publisher

Bristol: IOP Publishing

More information

Scope and Contents

Contents

According to the needs of intelligent vehicles, this paper proposes a global path planning algorithm based on improved ant colony algorithm to address the problems of slow convergence speed and multiple path bends in ant colony algorithm. By redefining the heuristic function of ant colony algorithm, adopting fallback and fill mechanisms, setting sa...

Alternative Titles

Full title

Research on global path planning of intelligent vehicles based on improved ant colony algorithm

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2903609447

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2903609447

Other Identifiers

ISSN

1742-6588

E-ISSN

1742-6596

DOI

10.1088/1742-6596/2674/1/012027

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