Smart Parking Guidance Using Optimal Cost Function

Mohamed S Farag,M M Mohie El Din,H A El Shenbary

doi:10.5539/cis.v10n1p48

Abstract

The industrialization of the world, increase in population and mismanagement of the available parking space has resulted in parking problems. There is a need for an intelligent and reliable system which can be used for searching the unoccupied parking facility, to reduce the cost of leasing people and for better use of resources for car-park owners. This paper introduces an algorithm to increase the efficiency of the current smart-parking system. The main objective of this algorithm is helping users automatically to find an unoccupied parking lot with least cost based on a new performance metrics to calculate the parking cost. Considering the distance between the User and Parking, Distance between Parking and services area, Percent of free spaces in each car park and Cost of parking for a time t. Matlab software was used to compute the cost function and to save an optimal parking space upon a request by the user. The experimental results show that the proposed cost function helps improve the probability of optimal parking with least cost.

Highlights

The industrialization of the world, slowdown city development, increase in population and mismanagement of the free parking lots has resulted in parking problems
In (HAM, TSAI, Nguyen, Dow & Deng, 2015) the author did not use the percent of free parking spaces in the cost function, which leads them to introduce a method for forwarding the vehicle to another parking if the current parking is full
The system must guide the user to the correct park at first time, So we introduce the cost function depends in to 4 parameters

Summary

Introduction

The industrialization of the world, slowdown city development, increase in population and mismanagement of the free parking lots has resulted in parking problems. The general method of finding a free parking lot is manual where the user usually finds a space in the street depending on luck and experience. The wireless sensors were deployed into a car park space to detect and show the occupation of a parking lot.

Results

Conclusion