An Intelligent Parking Management System for Urban Areas

Vera-Gómez, Juan A.; Quesada-Arencibia, Alexis; García, Carmelo R.; Moreno, Raúl Suárez; Hernández, Fernando Guerra

doi:10.3390/s16060931

Cited by 35 publications

(13 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In [9] the authors have used photoelectric sensors to detect the vehicles in a controlled zone. The sensors were installed at the entry/exit of the parking and connected with the server for information processing and dissemination.…”

Section: Related Workmentioning

confidence: 99%

Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities

Alam

Moroni

Pieri

et al. 2018

Journal of Advanced Transportation

View full text Add to dashboard Cite

Intelligent Transportation Systems (ITS) have evolved as a key research topic in recent years, revolutionizing the overall traffic and travel experience by providing a set of advanced services and applications. These data-driven services contribute to mitigate major problems arising from the ever growing need of transport in our daily lives. Despite the progress, there is still need for an enhanced and distributed solution that can exploit the data from the available systems and provide an appropriate and real-time reaction on transportation systems. Therefore, in this paper, we present a new architecture where the intelligence is distributed and the decisions are decentralized. The proposed architecture is scalable since the incremental addition of new peripheral subsystems is supported by the introduction of gateways which requires no reengineering of the communication infrastructure. The proposed architecture is deployed to tackle the problem of traffic management inefficiency in urban areas, where traffic load is substantially increased, by vehicles moving around unnecessarily, to find a free parking space. This can be significantly reduced through the availability and diffusion of local information regarding vacant parking slots to drivers in a given area. Two types of parking systems, magnetic and vision sensor based, have been introduced, deployed, and tested in different scenarios. The effectiveness of the proposed architecture, together with the proposed algorithms, is assessed in field trials.

show abstract

Section: Related Workmentioning

confidence: 99%

Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities

Alam

Moroni

Pieri

et al. 2018

Journal of Advanced Transportation

View full text Add to dashboard Cite

show abstract

“…This suggested method comprises data processing, corner detection and, lastly, parking position detection. Moreover, a solution to observe the entrance and leaving of cars for outdoor parking areas was suggested in [20]. Reference [21] presented a similar approach that employed radio frequency and infrared sensors for communication.…”

Section: Sensor-based Parking Systemsmentioning

confidence: 99%

Smartphone-Based Context Flow Recognition for Outdoor Parking System with Machine Learning Approaches

et al. 2019

View full text Add to dashboard Cite

Outdoor parking systems are one of the most crucial needs in a smart city to find vacant parking spaces in outdoor environments, such as roadsides, university campuses, and so on. In a typical outdoor parking system, the detection of a vehicle entering and leaving the parking zone is a major step. At present, there are numerous external sensor-based and camera-based parking systems available to detect the entrance and leaving of vehicles. Camera-based parking systems rely on sophisticated camera set-ups, while sensor-based parking systems require the installation of sensors at the parking spots or vehicles' sides. Due to such complication, the deployment and maintenance costs of the existing parking systems are very high. Furthermore, the need for additional hardware and network capacity increases the cost and complexity, which makes it difficult to use for large deployment. This paper proposes an approach for outdoor parking utilizing only smartphone integrated sensors that do not require manpower support nor additional sensor installation. The proposed algorithm first receives sensor signals from the driver's phone, performs pre-processing to recognize the context of drivers, which is followed by context flow recognition. The final result is obtained from context flow recognition which provides the output of whether the driver is parking or unparking. The proposed approach is validated with a set of comprehensive experiments. The performance of the proposed method is favorable as it uses only the smartphone's internal sensors to recognize whether the cars are entering or leaving the parking area.

show abstract

“…To determine this probability, it would be necessary to gather ahead some few data such as: the user's current position, his destination and the current availability of car parks. Then, based on these elements and previous statistics, the system should be able to estimate the arrival time of the user to the desired parking [26,27].…”

Section: Improve the Probability Of Finding An Available Parking Spotmentioning

confidence: 99%

An architecture of an interactive multimodal urban mobility system

Moufid

Nadir

Benhadou

et al. 2019

Int. J. Simul. Multidisci. Des. Optim.

View full text Add to dashboard Cite

Throughout the world and particularly in urban areas, population growth can be listed as a direct cause of the uprising use of personal vehicles in cities around the world. Such attitude may lead to dramatic consequences, not only economically, but socially and environmentally. To meet these challenges, and to promote the use of multiple means of public transports by citizens, public authorities and transport operators seek − within the framework of the implementation of connected cities projects and intelligent − to optimize the extraction as well as the exploitation of the multimodal information by developing Interactive Systems of Assistance to the Multimodal Movement (IAMM). However, finding the optimal multimodal path for a given person is far from being a simple matter. Indeed, each potential user may have different or unique preferences regarding the: cost and/or duration of his/her journey, number of mode changes, comfort or safety levels desired. In the present study, we propose a multi-agent system which, based on the parameters entered by each user, proposes the optimal paths in the Pareto sense, including different public transport modes, private cars and parking availability.

show abstract

An Intelligent Parking Management System for Urban Areas

Cited by 35 publications

References 20 publications

Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities

Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities

Smartphone-Based Context Flow Recognition for Outdoor Parking System with Machine Learning Approaches

An architecture of an interactive multimodal urban mobility system

Contact Info

Product

Resources

About