Dynamic Path Planning for Unmanned Vehicles Based on Fuzzy Logic and Improved Ant Colony Optimization

Dynamic Path Planning for Unmanned Vehicles Based on Fuzzy Logic and Improved Ant Colony Optimization

Technical advancement has propelled the proliferation of unmanned vehicles. Out of the multiple paths between origin (O) and destination (D), the optimal O-D path should be selected in the light of travel distance, travel time, fuel cost and pollutant emissions. This paper proposes a dynamic path pl...

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Bibliographic Details
Main Authors: Qi Song, Qinglei Zhao, Shuxin Wang, Qiang Liu, Xiaohe Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Path planning
unmanned vehicles
fuzzy logic (FL)
ant colony optimization (ACO)
Online Access:https://ieeexplore.ieee.org/document/9051701/

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