Recognizing the Illegal Parking Patterns of Cars on the Road in Front of the Bus Stop Using the Support Vector Machine

Abstract

Traffic jams are a major problem in the lives of people in the capital. The occurrence of such problems is due to drivers who do not respect traffic laws, inappropriate behavior of the driver, and the cause of illegal parking at prohibited parking, resulting in the rear car unable to move further. Possible or the car must change lanes to another lane. Therefore, to reduce such problems, we have developed an illegal parking pattern recognition system for cars on the road. We have applied the Support Vector Machine (SVM) to the signal from CCTV cameras and find important characteristics of illegal car parked at the bus stop. Then use those images to learn to recognize the parking behavior of cars with Linear Regression. From the experiment, it is found that the recognition of cars parked on the road in front of the bus stop has an accuracy rate of 82.22 percent which can be used to detect the soaking of personal cars in real life.