Efficient Data Structures for Autonomous Vehicle Systems
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Abstract
Dijkstra’s Algorithm is a widely used method for finding the shortest path in a graph with non-negative edge weights, making it ideal for applications like navigation systems and network routing. In contrast, the A* Algorithm enhances Dijkstra’s approach by incorporating heuristics to optimize route searches, particularly useful in game development and robotics for faster pathfinding. The Bellman-Ford Algorithm addresses a broader range of scenarios by accommodating graphs with negative weight edges, and it is capable of detecting negative weight cycles, making it valuable in financial modeling and similar applications. Finally, the Floyd-Warshall Algorithm com- putes shortest paths between all pairs of nodes using dynamic programming, making it particularly effective for dense graphs where comprehensive path analysis is required. Each of these algorithms offers unique advantages, catering to different needs in graph-based problem-solving. By combining these approaches, we can develop reliable and efficient route optimization systems that address various needs of vehicle drivers and transporta- tion planners. This study will look at the theoretical basis, practical implementations, and prospective applications of these approaches in the context of automobile navigation. Adjacency lists are a fundamental data structure used to represent road networks. They provide a convenient way to store information about the connections between different locations. This paper includes an in-depth review of vehicle route optimization meth- ods, focusing on the making use of the Dijkstra algorithm, A* algorithm, adjacency lists, visualization, and linked lists. We explore how these algorithms work, including their speed, accuracy, and their application in vehicle navigation. We also explain the use of adjacency lists to represent road networks, as well as the visualization methods used to provide an easy understanding. Finally, we look at the function of linked lists in efficient data management and dynamic route changes.