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November 14, 2025International Journal of Advanced Research in Science Communication and TechnologyOpen Access

A Review - Optimal Path Finding in Grid Parking

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Authors

PGPratik GodasePPPavan PanditRPRutuja Patil

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Overview

This review highlights path planning methods, including A* algorithm, in autonomous vehicle navigation and smart parking solutions.

Key Points

  • Efficient parking management improves with optimal path planning in grid environments, addressing urban vehicle growth.
  • Key findings show the advantages of the A* algorithm in navigating static and dynamic obstacles effectively.
  • Reviewing various pathfinding methods, this analysis focuses on heuristics and implementations specific to grid parking systems.
  • May enable future advancements in intelligent transportation frameworks and enhance real-time traffic management strategies.

Cite This Study

Godase et al. (2025) studied this question.

synapsesocial.com/papers/692519a7c0ce034ddc353f95https://doi.org/10.48175/ijarsct-29497
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Efficient Grid-Based Parking Navigation Using Heuristic Path Planning2025
  2. 2Path Planning Algorithms for Smart Parking: Review and Prospects2024 · 18 citations
  3. 3A Kinematics-Constrained Grid-Based Path Planning Algorithm for Autonomous Parking2025 · 4 citations
  4. 4A Comprehensive Review of the A<sup>*</sup> Algorithm: Evolution, Applications, and Future Trends in Path Planning2026
  5. 5Research on intelligent parking path planning based on improved safe adaptive ant colony algorithm2024