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

04/19/2021
by   Xin Wei, et al.
0

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

page 1

page 2

page 3

page 4

research
11/03/2020

Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time

Route planning is important in transportation. Existing works focus on f...
research
07/10/2018

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

Army ants perform the altruism that an ant sacrifices its own well-being...
research
02/25/2023

Homotopy Path Class Encoder Based on Convex Dissection Topology

The concept of path homotopy has received widely attention in the field ...
research
05/31/2022

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

This paper introduces a new path planning algorithm for unmanned aerial ...
research
09/08/2022

Automatic driving path plan based on iterative and triple optimization method

This paper presents a triple optimization algorithm of two-dimensional s...
research
08/17/2022

Autonomous Passage Planning for a Polar Vessel

We introduce a method for long-distance maritime route planning in polar...
research
09/18/2018

An Efficient Approximation Algorithm for Multi-criteria Indoor Route Planning Queries

A route planning query has many real-world applications and has been stu...

Please sign up or login with your details

Forgot password? Click here to reset