Current parking space vacancy detection systems use simple trip sensors at the entry and exit points of parking lots. Unfortunately, this type of system fails when a vehicle takes up more than one spot or when a parking lot has different types of parking spaces. Therefore, I propose a camera-based system that would use computer vision algorithms for detecting vacant parking spaces. My algorithm...

We present a computer vision-based street parking detection. Our system detects vacant parking spots in between the T-shaped parking markers that are commonly used to indicate parking spots on the sides of streets. We detect these T marks using a template-based sliding window approach that convolves HOG features. Using these T marks, we can find parking regions in the image, and compute color h...

In this paper, an intelligent automatic parking control method is proposed. First, the dynamical equation of the rear parking control is derived. Then a fuzzy logic control is proposed to perform the parking planning process. Further, a rear neural network is proposed for the steering control. Through the simulations and experiments, the intelligent auto-parking mode controllers have been shown...

In the classical parking problem, unit intervals (“car lengths”) are placed uniformly at random without overlapping. The process terminates saturation, i.e. until no more can be stowed. this paper, we present a generalization of problem in which with an exponential distribution rate parameter $$\lambda $$ . We show that mathematical expectation number saturation satisfies certain integral equat...

Parking pricing has been suggested as a 'second-best' approach to managing road space. However, its effectiveness will depend upon the responsiveness of parking behaviour and modal choice to the price of parking. This paper examines the sensitivity of parking behaviour and modal choice to the price of on-street parking in the city of Dublin, Ireland. This analysis utilises contingent valuation ...

The conventional approach to assessing parking demands and regulating parking usage involves surveys of parker destinations, trip purposes, walking distances, arrivalkfeparture times, enforcement intensities, parking fees, etc. Parker destinations and characteristics are compared with the parking available on a block-by-block basis to identify locations of parking surpluses/deficiencies. Models...

Abstract Parking space detection is a key technology in the parking lot management system. When performing parking space detection using magnetic sensors, there may be interference from the adjacent parking space, which will result in false detection. However there still will be false detection when only cameras are used to detect the parking spaces because the performance of the cameras is inc...

By increasing auto demands, efficient parking management is by no means less important than road traffic congestion control. Identification of parking available in metropolitan areas during the peak hours is most complex process for the driving people. This is due to shortages of parking spaces within the limited land areas of the city centers in many metropolises. Identification of parking ava...

Due to a rapid increase in the number of vehicles, the need for parking spaces is on rise. It is important to park the cars in close proximity to avoid traffic congestion and use a parking area efficiently. Current car parking management systems utilize human personnel to find available parking areas or use a video based system that collects the information in the form of images and tracks avai...

Parking is an underappreciated issue in urban traffic modeling and control, and drivers searching for a parking space can contribute substantially to congestion. New technologies and algorithms aim to smooth the parking search process, using sensors for dynamic pricing, transmitting availability information to drivers, or to allow advance reservation of spaces. However, the parking search proce...