Smart Parking Sensors: State of the Art and Performance Evaluation

Perković, Toni; Šolić, Petar; Zargariasl, Hamid; Čoko, Duje; Rodrigues, Joel J. P. C.

doi:10.1016/j.jclepro.2020.121181

Cited by 63 publications

(23 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results show a two-way correlation between street park and duration. These findings can be used for developing some measures for regulating interact Analysis of parking in the car park and the parking mechanism for balancing parking time-time distribution and also formulating parking management policies [6].…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

An Intelligent Parking Management System using RFID Technology based on User Preferences

Shimi¹,

Mr²,

Ma³

2020

Preprint

View full text Add to dashboard Cite

Due to the tremendous progress in the automotive industry, the growth of the urban population, the number of vehicles is increasing and this creates parking challenges. Intelligent parking management systems offer an optimal solution for finding empty parking space so that drivers can quickly find their car parking space. To solve these problems, it is necessary to design an intelligent parking system, in addition to providing comfort to drivers, which is also economically viable. This paper proposes an intelligent multi-storey car parking system with the help of RFID technology and examining user preferences that can effectively solve car parking problems. The proposed method is a multi-objective decision-making method to reduce the problem of car parking, which is called MODM-RPCP. Therefore, the proposed MODM-RPCP method can allocate the best space for their stopping place by using the decision-making system and based on the priorities considered by the users. The simulation results show that the MODM-RPCP reduces the average booking time more than 19.2% and 27.1%, and decreases the response time of central parking management server more than 20.1% and 29.78% compared to MOGWOLA and ODPP approaches.

show abstract

Section: Related Workmentioning

confidence: 99%

“…On the other hand, constraint (5) represents that a parking location can be allocated to one parking floor. Finally, the vehicles on floor and location should be balanced as represented in constraint (6). The constraints (7) and (8) apply the dual (binary) constraints to the decision variables.…”

Section: Decision Model For Allocating a Vehicle To The Parkingmentioning

confidence: 99%

An Intelligent Parking Management System using RFID Technology based on User Preferences

Shimi¹,

Mr²,

Ma³

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Again, the development of sensor technologies, i.e. smart parking sensors is very important to enable efficient and accurate service, ( Perković et al., 2020a ). The maintenance and failure prevention of different vehicles could also be supported by IoT ( Saki et al., 2020 ), which could improve security and the lifetime of vehicles.…”

Section: Introductionmentioning

confidence: 99%

Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future

Nižetić

Šolić

López-de-Ipiña

et al. 2020

Journal of Cleaner Production

652

165

View full text Add to dashboard Cite

The rapid development and implementation of smart and IoT (Internet of Things) based technologies have allowed for various possibilities in technological advancements for different aspects of life. The main goal of IoT technologies is to simplify processes in different fields, to ensure a better efficiency of systems (technologies or specific processes) and finally to improve life quality. Sustainability has become a key issue for population where the dynamic development of IoT technologies is bringing different useful benefits, but this fast development must be carefully monitored and evaluated from an environmental point of view to limit the presence of harmful impacts and ensure the smart utilization of limited global resources. Significant research efforts are needed in the previous sense to carefully investigate the pros and cons of IoT technologies. This review editorial is partially directed on the research contributions presented at the 4th International Conference on Smart and Sustainable Technologies held in Split and Bol, Croatia, in 2019 (SpliTech 2019) as well as on recent findings from literature. The SpliTech2019 conference was a valuable event that successfully linked different engineering professions, industrial experts and finally researchers from academia. The focus of the conference was directed towards key conference tracks such as Smart City, Energy/Environment, e-Health and Engineering Modelling. The research presented and discussed at the SpliTech2019 conference helped to understand the complex and intertwined effects of IoT technologies on societies and their potential effects on sustainability in general. Various application areas of IoT technologies were discussed as well as the progress made. Four main topical areas were discussed in the herein editorial, i.e. latest advancements in the further fields: (i) IoT technologies in Sustainable Energy and Environment, (ii) IoT enabled Smart City, (iii) E-health – Ambient assisted living systems (iv) IoT technologies in Transportation and Low Carbon Products. The main outcomes of the review introductory article contributed to the better understanding of current technological progress in IoT application areas as well as the environmental implications linked with the increased application of IoT products.

show abstract

“…Moreover, parking facilities are not accessible in a adequate manner, since it is estimated that drivers spend around 7.8 min. in finding free parking lots [6]. Studies have shown that, in traffic dens environments in urban areas, 30-50% of drivers are in search of free parking [7].…”

Section: Introductionmentioning

confidence: 99%

“…A novel software approach would employ appropriate ML algorithms to gain a high level of occupancy status detection, thus achieving cost saving by reducing the price of the sensing device. The idea of such a solution has found its basis in some recent research that observed a scenario in which the signal strength at the receiver side is significantly reduced [6,34] when a vehicle occupies a parking lot. Emerging techniques, like Machine Learning and intelligent sensing in car parks, might be able to efficiently reduce the parking search time and improve mobility [19].…”

Section: Introductionmentioning

confidence: 99%

Sensing Occupancy through Software: Smart Parking Proof of Concept

et al. 2020

View full text Add to dashboard Cite

In order to detect the vehicle presence in parking slots, different approaches have been utilized, which range from image recognition to sensing via detection nodes. The last one is usually based on getting the presence data from one or more sensors (commonly magnetic or IR-based), controlled and processed by a micro-controller that sends the data through radio interface. Consequently, given nodes have multiple components, adequate software is required for its control and state-machine to communicate its status to the receiver. This paper presents an alternative, cost-effective beacon-based mechanism for sensing the vehicle presence. It is based on the well-known effect that, once the metallic obstacle (i.e., vehicle) is on top of the sensing node, the signal strength will be attenuated, while the same shall be recognized at the receiver side. Therefore, the signal strength change conveys the information regarding the presence. Algorithms processing signal strength change at the receiver side to estimate the presence are required due to the stochastic nature of signal strength parameters. In order to prove the concept, experimental setup based on LoRa-based parking sensors was used to gather occupancy/signal strength data. In order to extract the information of presence, the Hidden Markov Model (HMM) was employed with accuracy of up to 96%, while the Neural Network (NN) approach reaches an accuracy of up to 97%. The given approach reduces the costs of the sensor production by at least 50%.

show abstract

Smart Parking Sensors: State of the Art and Performance Evaluation

Cited by 63 publications

References 16 publications

An Intelligent Parking Management System using RFID Technology based on User Preferences

An Intelligent Parking Management System using RFID Technology based on User Preferences

Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future

Sensing Occupancy through Software: Smart Parking Proof of Concept

Contact Info

Product

Resources

About