Gestión inteligente del estacionamiento empleando internet de las cosas

The main requirement of smart cities is intelligent and effective parking system, which currently most parking systems exist basedon various technologies such as Internet of Things, so intelligent parking management is gradually becoming a necessity. Hence inthis article a new manner is introduced in the form of prioritization, which alters the type of prioritization than the previous methods, sothat the different parameters such as the distance between parking lots, distance between vehicle and a parking lot, number of freeparking spaces in the destination parking lot, number of unsuccessful parks, and the number of parking lot visits are considered, and ingeneral a system is recommended that helps drivers to find a parking lot with the minimum cost based on the aforesaid parameters. Thesimulation of proposed approach performed in Arena application and the results of the simulation and its comparison with theprevious works suggest that the proposed method results in the better decrease of the waiting time than the existing waiting timein the previous works and contributes to minimize drivers waiting time

Parking guidance and authentication system

Whenever the number of parking lots became large the problems related to parking management became more complicated. The most two important problems that related to large parking places are: First, the long searching time for available lots, especially at the peak time. The second problem is the unauthorized-parking situations. Nowadays, there are parking guidance systems that guide the drivers toward the available lots. As a result, reduce the searching time for available lots, as well as reduce the congestion in that parking area. However, these systems do not solve the problem of unauthorized-parked vehicles. This study aims to combine along with guidance system, a mechanism to verify the legality of vehicles parked at authorized-parking lots. Therefore, this study will focus on two modules which are the detection module and the identification module. In the detection module, wireless sensors such as ultrasonic and y-axis magnetometers have proven their ability in detecting vehicles. And in the identification module, active RFID including both tag and reader are very suitable for this purpose. This project has significant implications for large institutions, by making the parking lots that allocated to their staff within the same customer parking area. In addition, it reduces the required manpower for managing that parking area

Forecasting Parking Lots Availability: Analysis from a Real-World Deployment

Smart parking technologies are rapidly being deployed in cities and public/private places around the world for the sake of enabling users to know in real time the occupancy of parking lots and offer applications and services on top of that information. In this work, we detail a real-world deployment of a full-stack smart parking system based on industrial-grade components. We also propose innovative forecasting models (based on CNN-LSTM) to analyze and predict parking occupancy ahead of time. Experimental results show that our model can predict the number of available parking lots in a ±3% range with about 80% accuracy over the next 1-8 hours. Finally, we describe novel applications and services that can be developed given such forecasts and associated analysis

A Dynamic Information-Based Parking Guidance for Megacities considering Both Public and Private Parking

The constantly increasing number of cars in the megacities is causing severe parking problems. To resolve this problem, many cities adopt parking guidance system as a part of intelligent transportation system (ITS). However, the current parking guidance system stays in its infant stage since the obtainable information is limited. To enhance parking management in the megacity and to provide better parking guidance to drivers, this study introduces an intelligent parking guidance system and proposes a new methodology to operate it. The introduced system considers both public parking and private parking so that it is designed to maximize the use of spatial resources of the city. The proposed methodology is based on the dynamic information related parking in the city and suggests the best parking space to each driver. To do this, two kinds of utility functions which assess parking spaces are developed. Using the proposed methodology, different types of parking management policies are tested through the simulation. According to the experimental test, it is shown that the centrally managed parking guidance can give better results than individually preferred parking guidance. The simulation test proves that both a driver???s benefits and parking management of a city from various points of view can be improved by using the proposed methodology

Smart city services over a future Internet platform based on Internet of Things and cloud: the smart parking case

Enhancing the effectiveness of city services and assisting on a more sustainable development of cities are two of the crucial drivers of the smart city concept. This paper portrays a field trial that leverages an internet of things (IoT) platform intended for bringing value to existing and future smart city infrastructures. The paper highlights how IoT creates the basis permitting integration of current vertical city services into an all-encompassing system, which opens new horizons for the progress of the effectiveness and sustainability of our cities. Additionally, the paper describes a field trial on provisioning of real time data about available parking places both indoor and outdoor. The trial has been carried out at Santander’s (Spain) downtown area. The trial takes advantage of both available open data sets as well as of a large-scale IoT infrastructure. The trial is a showcase on how added-value services can be created on top of the proposed architecture.This work has been partially funded by the research project SmartSantander, under FP7-ICT-2009-5 of the 7th Framework Programme of the European Community. This work has been supported by the Spanish government (Ministerio de Economía y Competitividad, Fondo Europeo de Desarrollo Regional, FEDER) by means of the project ADVICE “Dynamic provisioning of connectivity in high density 5G wireless scenarios” (TEC2015-71329-C2-1-R)