Academy & Industry Research Collaboration Center (AIRCC)

Volume 9, Number 6, May 2019

An Advising System for Parking Using Canny and K-NN Techniques

  Authors

Chyi-Ren Dow, Wei-Kang Wang, Huu-Huy Ngo, and Shiow-Fen Hwang, Feng Chia University, Taiwan

  Abstract

This study proposes a system which provides the parking characteristics and an application service platform. This system can be used to assist in selecting the parking space for drivers. The system can identify the contours of vehicles, such as cars and motorcyclesby using the Canny algorithm. The data can beused to create the dataset and calculate the Parking density. Next, we use the k-nearest neighbor (K-NN) algorithm to produce the parking pattern. The model makes predictions for different conditions at different time.

  Keywords

Parking Space,Big Data of Traffic, k-Nearest Neighbor, Canny Edge Detection