The paper presents a conceptual view and explicit agent-based model of parking in a city. Driver-agents behave within a high-resolution GIS database of the street network and parking facilities. They drive towards their destination, search for parking, park for a given interval of time, and leave the network. During parking search, driver-agents estimate the availability of parking places, thei...

Concerning the population growth and urban development, significant growth in the rate of personal car usage has caused more transportation and thus growth in occupying the street areas for parking vehicles. This has caused much transporting problems and traffic. Hence concerning the parking issue is crucial in traffic and municipal management.The important issue is the suitable place for the p...

Drivers in urban neighborhoods who cruise streets, seeking inexpensive on-street parking create a significant fraction of measured traffic congestion. The solution to this problem is to reduce the total traffic volume including cruising traffic by implementing a congestion pricing scheme: the imposition of a usage fee on a limited-capacity resource during times of high demand. We review the his...

In this work, we propose an innovative adaptive recommendation mechanism for smart parking. The cognitive RF module will transmit the vehicle location information and the parking space requirements to the parking congestion computing center (PCCC) when the driver must find a parking space. Moreover, for the parking spaces, we use a cellular automata (CA) model mechanism that can adjust to full ...

Congestion can be caused by through-traffic and by traffic destined for the area where consumers park. It may appear that congestion should be reduced by increasing the price of parking. This paper shows that if road usage is suboptimally priced, then a lump-sum parking fee can increase welfare, but a parking fee per unit time does not. Indeed, an increase in the price of parking induces each p...

In this paper, we describe a method of combining rectangle detection and scale invariant feature transform (SIFT) analysis for empty parking space detection. A parking space in a parking lot is represented as a rectangular region of pixels in an image captured from an aerial camera. Detecting rectangular parking spaces in a new image involves an alternating scheme of extracting peaks from the R...

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...

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...

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 ...