Intelligent parking systems

Teodorović, Dušan; Lučić, Panta

doi:10.1016/j.ejor.2005.02.033

Cited by 184 publications

(82 citation statements)

References 19 publications

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“…The bay area rapid transit (BART), in San Francisco/Oakland metropolitan area, has been developed as a centralized intelligent reservation and real time availability system which provides parking availability via telephone and internet. The authors in (Teodorovic and Lucic, 2006) have also introduced a reservation function for urban parking. Geng and Cassandras (2012) have proposed a reservation system and dealt with an optimal allocation problem of parking spot considering parking cost and distance to destination.…”

Section: Urban Parking Managementmentioning

confidence: 99%

Generic model for resource allocation in transportation. Application to urban parking management

Zargayouna

Balbo

Ndiaye

2016

Transportation Research Part C: Emerging Technologies

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In this paper, we define the online localized resource allocation problem, especially relevant for modeling transportation applications. The problem modeling takes into account simultaneously the geographical location of consumers and resources together with their online nondeterministic appearance. We use urban parking management as an illustration of this problem. In fact, urban parking management is an online localized resource allocation problem, where the question is how to find an efficient allocation of parking spots to drivers, while they all have dynamic geographical positions and appear nondeterministically. We define this problem and propose a multiagent system to solve it. The objective of the system is to decrease, for private vehicles drivers, the parking spots search time. The drivers are organized in communities and share information about spots availability. We have defined two cooperative models and compared them: a fully cooperative model, where agents share all the available information, and a "coopetitive" model, where drivers do not share information about the spot that they have chosen. Results show the superiority of the first model 1 .

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Section: Urban Parking Managementmentioning

confidence: 99%

Generic model for resource allocation in transportation. Application to urban parking management

Zargayouna

Balbo

Ndiaye

2016

Transportation Research Part C: Emerging Technologies

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“…Websites and smartphone applications have been also developed. Users can select facilities, can browse static and dynamic facility information and can book parking lots on them [8,9], (www.sfpark.org), (parken.heidelberg.de).…”

Section: Structure Of the Integrated Systemmentioning

confidence: 99%

“…Information about the number of available parking spaces could be displayed on the major roads, streets and intersections, or it could be transmitted through the Internet. Several cities use webpages and smartphone applications for this purpose [8][9][10], (www.sfpark.org), (parken.heidelberg.de). Parking management includes several methods, solutions and tools [11].…”

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confidence: 99%

Role of Integrated Parking Information System in Traffic Management

Sándor¹,

Csiszár²

2015

Period. Polytech. Civil Eng.

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Management tasks of parking facilities (coordination of demand and supply) IntroductionThe road traffic management covers: (1) management of moving traffic and (2) management of "standing" traffic (including searching for parking places as well). Demand management of road transport networks includes also tasks regarding parking facilities. During traffic management, parking problems can be avoided or managed efficiently with the operation of parking information systems and with the interconnection of them with other management systems.In congested urban areas and also in the parking facilities along the motorways, the parking demands usually exceed capacities. The solution requires network-wide approach and interventions [1]. Parking pricing is an efficient and widely accepted measure for modal split management [2], for reducing congestion on urban road networks [3], and for managing the parking demands in urban zones of high attractiveness [4]. Realtime local information provision can mitigate local problems but the network-wide problems require integrated solutions. It can be aided by IT systems [5], [6]. In urban areas there are several methods for parking. [7] summarizes these ones with their informatics specialities. There are numerous applications and projects that give real-time information about the parking status of a certain area. During the past two decades, traffic authorities in many cities (Helsinki, Cologne, Mainz, Stuttgart, Wiesbaden, Aalborg, Hague) have started to inform and guide drivers to parking facilities with real-time variable message signs [guiding arrows, names of the parking facilities, status, number of available parking spaces, etc.]. Information about the number of available parking spaces could be displayed on the major roads, streets and intersections, or it could be transmitted through the Internet. Several cities use webpages and smartphone applications for this purpose [8][9][10], (www.sfpark.org), (parken.heidelberg.de). Parking management includes several methods, solutions and tools [11]. With them parking capacities and demands can be adjusted to each other. Some countries [12,13] apply design standards and/or guidelines for planning in the major transport projects. In the future, the role of parking management should be strengthened, because structures of cities are changing and environmental aspects are also significantly

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“…An extensive review on urban car parking models can be found in (Young et al, 1991). In the context of revenue management we refer to (Teodorović and Lučić, 2006) who proposed an intelligent parking inventory control system based on fuzzy logic theory. Moreover, (Onieva et al, 2011) have formulated and solved a Linear Programming (LP) problem in both a deterministic and a stochastic environment.…”

Section: Introductionmentioning

confidence: 99%

“…The first one solves the problem by first setting up the selling horizon and then discretising the horizon into finite intervals of time ∆T . Bookings in both cases are modelled using fixed time-invariant Poisson distribution for the number of bookings with exponential waiting times for time between booking and length of stay exponential arrival times have also been employed in (Onieva et al, 2011;Teodorović and Lučić, 2006). The carpark is then managed by assigning an accept/reject decision to the bookings in each time interval given the current state of the carpark (i.e.…”

Section: Introductionmentioning

confidence: 99%

Continuous-time Revenue Management in Carparks - Part Two: Refining the PDE

Papayiannis

Johnson

Yumashev³

et al. 2013

Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems

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Abstract:In this paper, we study optimal revenue management applied to carparks, with the primary objective to maximize revenues under a continuous-time framework. This work is an extension to (Papayiannis et al., 2012) where the authors developed a Partial Differential Equation (PDE) model that could solve for the rate at which cash is generated through an infinitesimal time. However, in practice, carpark managers charge customers per day or per hour which is a finite period of time. Unfortunately, this situation was currently not captured by this previous work. Therefore, our current work attempts to reformulate the existing PDE in a way that it does capture the revenue that is generated within any finite time interval of length ∆T . The new model is compared against the Monte Carlo (MC) approach for several choices of ∆T ; the results are remarkable as the improvement in computation speed and efficiency are significant. Since, the algorithm in the PDE still does not solve the 'exact' problem, a method is proposed to marry the benefits of the PDE with those of the MC approach. Our results are prominent as the optimal values generated in this case have shown to be extremely close to the MC ones while the computation times are kept to a minimum.

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Intelligent parking systems

Cited by 184 publications

References 19 publications

Generic model for resource allocation in transportation. Application to urban parking management

Generic model for resource allocation in transportation. Application to urban parking management

Role of Integrated Parking Information System in Traffic Management

Continuous-time Revenue Management in Carparks - Part Two: Refining the PDE

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