Multiple-Layer Parking with Screening

In this article a multilayer parking system with screening of size n=3 is studied with a focus on the time-dependent particle density. We prove that the asymptotic limit of the particle density increases from an average density of 1/3 on the first layer to the value of (10 - \sqrt 5 )/19 in higher layers

Sistem Smart Parking Terdistribusi dengan Menggunakan Mobile Cloud Computing

The availability of parking space for urban areas is very limited. Parking lots in office complexes and community centers are still not able to accommodate the number of motor vehicles that increase each year. According data from the Central Bureau of Statistics, the number of motor vehicles has reached 129.2 million units by 2016. This has not been supported by parking managers' ability to compensate for the growing number of vehicles using parking services. Some parking managers have been using the computer as a means of parking management support. The computer functions as an incoming data logging machine, a parking rate payment system and a security control of the document. On the other hand, information about the availability of parking lots is needed by parking service users. The data provided by the parking operator has not been able to provide information on the density of the parking lot in several parking locations in one area. From the problem, it is necessary to build a smart parking system that can provide information density of several parking locations. The data on the parking register engine can be processed into parking information on mobile cloud devices then provide the shortest route recommendations using the Dijkstra algorithm. With mobile computing technology, parking lava availability information will take place in real-time. Identification of capacity and density of each parking space is realized in the form of mobile cloud-based applications.Keywords : mobile computing, cloud computing, smart parking, Dijkstr

UNI – College Hill Neighborhood Parking Study

Adequate parking is often a challenging and a controversial issue that plagues most university campuses and the University of Northern Iowa (UNI) is no exception. According to the UNI Public Safety Department records, there are approximately 8,936 parking spaces on campus. However, the number of students, faculty, staff, and visitors on campus exceeds 16,000 daily. Adding to the campus parking controversy is the high density street parking that accompanies neighborhoods located near campus, an undesirable characteristic to perennial residents of Cedar Falls, Iowa. This high density street parking is largely the result of rental housing in the area combined with off campus parking during the school week

Designing and analyzing park sensor system for efficient and sustainable car park area management

Many problems have been seen in cities because of increasing vehicle density. One of these problems is vehicle density in parking lots. People look for empty parking areas and they spend too much time. While people look for empty parking areas, CO2 (carbon dioxide) emission and energy consumption increase due to density in parking lots. We worked to solve these problems by doing Magnetic Car Park Sensor. Magnetic Car Park Sensor is the system which detects cars in car parks. After cars detected with the system, the system sends information to center server and we can see information data in the system interface. The system helps people to find empty parking lots. As people find empty car park areas fastly, energy consumption and CO2 emission are decreased significantly

High-density parking for autonomous vehicles.

In a common parking lot, much of the space is devoted to lanes. Lanes must not be blocked for one simple reason: a blocked car might need to leave before the car that blocks it. However, the advent of autonomous vehicles gives us an opportunity to overcome this constraint, and to achieve a higher storage capacity of cars. Taking advantage of self-parking and intelligent communication systems of autonomous vehicles, we propose puzzle-based parking, a high-density design for a parking lot. We introduce a novel method of vehicle parking, which leads to maximum parking density. We then propose a heuristic method to solve larger problems, and mathematically prove that the method produces near-optimal results. To improve layout designs reducing vehicular movements, we propose a use of a meta-heuristic algorithm integrated with a deep reinforcement learning method. Finally, to take advantage of these puzzle-based designs in large-scale, we propose a modular layout design. This design process consists of two steps: i) design of a high-density modular lot, which we call sub-lot, and ii) integration of these sub-lots into a large parking lot. We have conducted a set of experiments to determine which sub-lot size provide the best performance in terms of density and retrieval time

ROAD CAPACITY AND PARKING GENERATION IN THE SHOPPING CENTER MEGA TOWN SQUARE PALANGKARAYA

The imbalance between the number of vehicles parking and parking off-street parking generation resulted automatically take advantage of the road for parking. From the analysis of the capacity of roads in Mega Town Square on segment Jl. Yos Sudarso, it is known that the level of service is still in accordance with Decree No. KM 14 of 2006, AASHTO, 1973 and Morlok, 1990. On Saturday morning the street value of the service is stable at current low traffic density with a rather high speed but can be controlled by the driver based on the speed limit maximum/minimum and the physical condition of the road. On Saturday afternoon, the traffic density was at a pace that can be controlled by the driver with the value of the service road approaching unstable flow speed of 25 Km/hour. On Saturday night, the traffic density is high enough to speed decreases, and can not be controlled by the driver currents sehinnga restrained. Total vehicle parking per hour is 60 veh/hour. This value is adjusted to supply vehicles going out into the market as much as 100 veh/h. So that parking availability is still sufficient to accommodate the vehicles in the Mega Town Square

Residential On-Site Carsharing and Off-Street Parking Policy in the San Francisco Bay Area, Research Report 11-28

In light of rising motorization, transportation planners have increasingly supported alternatives to the indiscriminate use of the car. Off-street parking policy and carsharing have emerged as credible alternatives for discouraging car ownership. This report explores an initiative that could connect these policy fields and build on their synergy: the provision of on-site carsharing service in residential developments. It evaluates the performance of on-site carsharing programs in the San Francisco Bay Area by interviewing developers, planners, and carsharing service providers. Interviews were conducted in four Bay Area cities that support the provision of carsharing as an alternative to the private automobile. Based on these interviews, this report identifies the principal factors contributing to the success or failure of on-site carsharing: the unbundling status of off-street parking in residential developments; ties to off-street parking standards; financial constraints; and the level of coordination among stakeholders. The interviews revealed that on-site carsharing has been accepted by developers, planners, and service providers, particularly in densely-populated, transit-rich communities. Nevertheless, there appears to be a gap between on-site carsharing programs and off-street parking standards, and between carsharing programs and carsharing business operations. The authors recommend that a few models for establishing carsharing policy be tested: a model designed to serve high-density cities with traditional carsharing; and another designed to serve moderately-dense communities, with new carsharing options (e.g., peer-to-peer). In the case of the latter, trip reduction can be achieved through the promotion of alternative modes along major corridors

A second row Parking Paradox

We consider two variations of the discrete car parking problem where at every vertex of the integers a car arrives with rate one, now allowing for parking in two lines. a) The car parks in the first line whenever the vertex and all of its nearest neighbors are not occupied yet. It can reach the first line if it is not obstructed by cars already parked in the second line (screening). b) The car parks according to the same rules, but parking in the first line can not be obstructed by parked cars in the second line (no screening). In both models, a car that can not park in the first line will attempt to park in the second line. If it is obstructed in the second line as well, the attempt is discarded. We show that both models are solvable in terms of finite-dimensional ODEs. We compare numerically the limits of first and second line densities, with time going to infinity. While it is not surprising that model a) exhibits an increase of the density in the second line from the first line, more remarkably this is also true for model b), albeit in a less pronounced way.Comment: 11 pages, 4 figure

The Analysis of Parking Facility Characteristic Areas for Academic Activity at Universitas Internasional Batam

Purpose: Parking is an essential need that the community has for a motorist. The density of parking lots is often a problem with parking needs in a place. Universitas Internasional Batam, one of the campuses in Batam City, has a relatively small parking area. Thus, this study aims to analyze the need for parking lots in the Universitas Internasional Batam environment. Design/methodology/approach: The research method used is systematic observation guided by the Parking Space Unit (SRP) 1996. This research was carried out at night during the effective day of academic activity at Universitas Internasional Batam. Findings: Based on the results of studies that have been carried out, it is concluded that the area of land to be carried out for car parking planning at Universitas Internasional Batam covers an area of 8,169.45 m2 and has met the needs. In addition, the land to be planned for motorcycles parking covering an area of 1,574.69 m2 has also met the needs. Research limitations/implications: The planning and parking area at Universitas Internasional Batam have met vehicle parking needs. Practical implications: Factors due to the density of parking lots at Universitas Internasional Batam cause many vehicles to park on the shoulder of the road (on-street). Originality/value: This paper is an original work. Paper type: Research papers