Entropy-based Optimization via A* Algorithm for Parking Space Recommendation

04/19/2021

∙

This paper addresses the path planning problems for recommending parking spaces, given the difficulties of identifying the most optimal route to vacant parking spaces and the shortest time to leave the parking space. Our optimization approach is based on the entropy method and realized by the A* algorithm. Experiments have shown that the combination of A* and the entropy value induces the optimal parking solution with the shortest route while being robust to environmental factors.

READ FULL TEXT

Entropy-based Optimization via A* Algorithm for Parking Space Recommendation

Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time

Emergence of Altruism Behavior for Multi Feeding Areas in Army Ant Social Evolutionary System

Bio-inspired Neural Network-based Optimal Path Planning for UUVs under the Effect of Ocean Currents

Enhanced Teaching-Learning-based Optimization for 3D Path Planning of Multicopter UAVs

Automatic driving path plan based on iterative and triple optimization method

Autonomous Passage Planning for a Polar Vessel

Integer Programming as a General Solution Methodology for Path-Based Optimization in Robotics: Principles and Best Practices

Entropy-based Optimization via A* Algorithm for Parking Space Recommendation

Related Research

Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time

Emergence of Altruism Behavior for Multi Feeding Areas in Army Ant Social Evolutionary System

Bio-inspired Neural Network-based Optimal Path Planning for UUVs under the Effect of Ocean Currents

Enhanced Teaching-Learning-based Optimization for 3D Path Planning of Multicopter UAVs

Automatic driving path plan based on iterative and triple optimization method

Autonomous Passage Planning for a Polar Vessel

Integer Programming as a General Solution Methodology for Path-Based Optimization in Robotics: Principles and Best Practices