ArticleSensors (Basel, Switzerland)2016
A Novel Location-Centric IoT-Cloud Based On-Street Car Parking Violation Management System in Smart Cities.
Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Parking Time Violation Tracking Using YOLOv8 and Tracking Algorithms.Sensors (Basel, Switzerland) · 2023Article
- A Trajectory Planning Method for Autonomous Valet Parking via Solving an Optimal Control Problem.Sensors (Basel, Switzerland) · 2020Article
- An Information-Centric Semantic Data Collection Tree for Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2020Article
- A Distributed NFV-Enabled Edge Cloud Architecture for ICN-Based Disaster Management Services.Sensors (Basel, Switzerland) · 2018Article
- Privacy-Preserving Location-Based Service Scheme for Mobile Sensing Data.Sensors (Basel, Switzerland) · 2016Article
- An Efficient Interactive Model for On-Demand Sensing-As-A-Servicesof Sensor-Cloud.Sensors (Basel, Switzerland) · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nowadays, in big cities, parking management is a critical issue from both the driver's side and the city government's side. From the driver's side, how to find an available parking lot in a city is a considerable concern. As a result, smart parking systems recently have received great interest, both in academia and industry. From the city government's side, how to manage and distribute such a limited public parking resource efficiently to give every visitor a fair chance of finding an on-street parking lot is also a considerable concern. However, existing studies of smart parking management focus only on assisting the driver's side to find available parking spaces. This study aims to raise a new perspective on such smart parking management and to propose a novel location-centric IoT-cloud-based parking violation management system. The system is designed to assist authoritative officers in finding parking violations easily and recommends the least cost path for officers so that officers can achieve their highest productivity in finding parking violations and issuing parking tickets. Experimental results show that the system not only improves the productivity of officers in finding parking violations and issuing tickets, but also helps reduce the traveling cost of officers and to reduce the average violation period of violating cars considerably.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.