TY  - JOUR
AU  - Panich, Surachai 
PY  - 2010
TI  - The Shortest Path with Intelligent Algorithm
JF  - Journal of Mathematics and Statistics
VL  - 6
IS  - 3
DO  - 10.3844/jmssp.2010.276.278
UR  - https://thescipub.com/abstract/jmssp.2010.276.278
AB  - Problem statement: Path planning algorithms need to be developed and implemented in a suitable manner to give better understanding about the intelligent system and also stimulates technological supply to enormous demands in an intelligent vehicle industry. Approach: This study concerned with intelligent path planning using A* search algorithm. Results: This study introduced intelligent path planning with A* search algorithm, which use to generate the most efficient path to goal. The algorithm was tested on simulator. Conclusion: This study is an implementation of a path planning for an intelligent path planning. The implementations are tested and verified with the simulation software. The path planning algorithms were selected for the implementation and to verify them.