1. This paper presents a Multi-Layer Based on Path Planning System (MLPPS) for generating optimal paths.
2. MLPPS is divided into Under Layer Path Planner and Upper Layer Path Planner, with an Arbiter present between the two layers.
3. The Under Layer Path Planner generates local paths, while the Upper Layer Path Planner transmits the optimal path to autonomous vehicles.
The article is generally reliable and trustworthy in its presentation of the Multi-Layer Based on Path Planning System (MLPPS). It provides a clear explanation of how MLPPS works and how it can be used to generate optimal paths for autonomous vehicles. The article also cites relevant research from other sources, such as IEEE Transportation Electrification Conference and Expo Asia-Pacific, which adds credibility to its claims.
However, there are some potential biases that should be noted in the article. For example, it does not explore any counterarguments or alternative solutions to the problem of generating optimal paths for autonomous vehicles. Additionally, it does not provide any evidence or data to support its claims about MLPPS being an effective solution for this problem. Furthermore, there is no discussion of possible risks associated with using MLPPS or any other potential drawbacks that should be considered before implementing it in practice.
In conclusion, while the article is generally reliable and trustworthy in its presentation of MLPPS, there are some potential biases that should be noted when evaluating its trustworthiness and reliability.