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

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 62107-62115 ◽  
Author(s):  
Qi Song ◽  
Qinglei Zhao ◽  
Shuxin Wang ◽  
Qiang Liu ◽  
Xiaohe Chen
Keyword(s):  
Fuzzy Logic ◽  
Path Planning ◽  
Ant Colony Optimization ◽  
Unmanned Vehicles ◽  
Ant Colony ◽  
Dynamic Path Planning ◽  
Dynamic Path

scholarly journals A Multimetric Ant Colony Optimization Algorithm for Dynamic Path Planning in Vehicular Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Zhen Wang ◽  
Jianqing Li ◽  
Manlin Fang ◽  
Yang Li
Keyword(s):  
Path Planning ◽  
Ant Colony Optimization ◽  
Real Time ◽  
Optimization Algorithm ◽  
Vehicular Networks ◽  
Urban Transportation ◽  
Ant Colony ◽  
Ant Colony Optimization Algorithm ◽  
Dynamic Path Planning ◽  
Dynamic Path

With the rapid growth in the number of vehicles, energy consumption and environmental pollution in urban transportation have become a worldwide problem. Efforts to reduce urban congestion and provide green intelligent transport become a hot field of research. In this paper, a multimetric ant colony optimization algorithm is presented to achieve real-time dynamic path planning in complicated urban transportation. Firstly, four attributes are extracted from real urban traffic environment as the pheromone values of ant colony optimization algorithm, which could achieve real-time path planning. Then Technique for Order Preference by Similarity to Ideal Solution methods is adopted in forks to select the optimal road. Finally, a vehicular simulation network is set up and many experiments were taken. The results show that the proposed method can achieve the real-time planning path more accurately and quickly in vehicular networks with traffic congestion. At the same time it could effectively avoid local optimum compared with the traditional algorithms.

The Planning of the Dynamic Path of the 3rd Party Logistics Center, which Based on the Ant Colony Optimization

2012 ◽  
Vol 253-255 ◽  
pp. 1472-1475
Author(s):  
Yue Ran Zhen ◽  
Jia Cheng Huang ◽  
Wen Yong Li ◽  
Fu Xiang Li ◽  
Yang Zhang
Keyword(s):  
Path Planning ◽  
Ant Colony Optimization ◽  
Transportation Costs ◽  
Ant Colony ◽  
Third Party ◽  
Third Party Logistics ◽  
Transport Costs ◽  
Wide Range ◽  
Planning Methods ◽  
Dynamic Path

Logistics profits which is the third profit source, it has become a "black hole" of the profits of the entire supply chain. At all the logistics costs, the proportion of transport costs is approximately 35% to 60%, thus by through reducing transportation costs, can we improve the effectiveness of the logistics system, and finally to maximize profits. Dynamic path planning of third-party logistics centers undoubtedly reduces transportation costs and optimizes logistics management research priority. The article first introduces the TSP and VRP, both are classic path planning methods, and then through the basic idea and the basic principles of detailing the Ant colony optimization to illustrate the wide range of applications of it in third-party logistics.

Path Planning for Mobile Robot Based on Improved Ant Colony Algorithm

2013 ◽  
Vol 385-386 ◽  
pp. 717-720 ◽  
Author(s):  
Rui Wang ◽  
Zai Tang Wang
Keyword(s):  
Path Planning ◽  
Mobile Robot ◽  
Ant Colony Algorithm ◽  
Probability Function ◽  
Ant Colony ◽  
Local Optimum ◽  
Dynamic Path Planning ◽  
Dynamic Path ◽  
Improved Ant Colony Algorithm ◽  
Improved Algorithm

This paper presents a dynamic path planning method based on improved ant colony algorithm. In order to increasing the algorithm’s convergence speed and avoiding to fall into local optimum, we propose adaptive migratory probability function and updating the pheromone. We apply the improved algorithm to path planning for mobile robot and the simulation experiment proved that improved algorithm is viable and efficient.

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