Using trust degree for agents in order to assign spots in a Smart Parking

The process of searching for a parking spot could be a problem. There are computing solutions being developed to optimize this problem. One of these solutions is using multiagent systems (MAS). In this paper a MAS is developed in order to allocate spots in a smart parking using the framework JaCaMo. This MAS comprises of two types of agents: manager and drivers. The manager is responsible to administrate the parking spots which will be assigned for drivers according to a corresponding degree of trust. The trust degree is a value which shows the commitment of the driver before the manager. In order to verify the effectiveness of the MAS, several simulations were conducted in empirical scenarios. Experiments shows that the trust degree impacts in the parking spot allocation process

Smart Panking : uma aplicação para estacionamento em cidades inteligentes

The world is experiencing two major transformations: the number of people living in urban areas surpassing the number of people in rural areas and a technological revolution changing the lives of billions of people. With more people living in cities, the problems they face are intensified and the response to these problems increasingly involves the use of a lot of technology, from which emerges the concept of Smart City. In order to deal with one of the most critical problems of cities, urban mobility, this work seeks to understand its causes and what interventions could be undertaken. One of the most prominent problems that impacts the urban mobility is the high number of vehicles circulating in cities and one of the challenges is to manage this fleet of vehicles in order to reduce congestion, facilitating mobility and consequently reducing the amount of exhaust gases in the atmosphere. Since one of the causes of this problem is the time spent by drivers looking for parking spaces, one solution is to minimize it. For this purpose a Systematic Literature Review of primary studies that were inserted in this context was carried out and through a Product Research in the Market, followed by the application of a questionnaire to stakeholders, relevant characteristics were extracted for the development of a solution for this scenario. Therefore, the objective of this work was to create a tool that intelligently optimizes the process of supply and demand of parking spots, considering the growing number of vehicles and the limited space of cities as a contribution to the development of Smart Cities.O mundo está vivenciando duas grandes transformações: o número de pessoas vivendo em zonas urbanas ultrapassando o número de pessoas em zonas rurais e uma revolução tecnológica mudando a vida de bilhões de pessoas. Com mais pessoas vivendo nas cidades, os problemas que elas enfrentam são intensificados e a resposta a esses problemas envolve cada vez mais o emprego de muita tecnologia, de onde emerge o conceito de Cidade Inteligente. Com o intuito de lidar com um dos problemas mais crucias das cidades, a mobilidade urbana, este trabalho procurou levantar as suas causas e quais intervenções poderiam ser realizadas. Um dos problemas mais proeminentes que gera impacto na mobilidade urbana é o crescimento da quantidade de veículos circulando nas cidades e um dos desafios é gerenciar esta frota de veículos buscando diminuir o congestionamento, facilitando a mobilidade e consequentemente reduzindo a quantidade de gases expelidos na atmosfera. Uma vez que uma das causas deste problema é o tempo gasto pelos motoristas na procura por vagas para estacionar, uma solução é minimizar esta causa. Para este fim foi realizada uma Revisão Sistemática dos estudos primários que estão inseridos neste contexto e por meio de uma Pesquisa de Produtos no Mercado, seguido da aplicação de um questionário para stakeholders foram extraídas características relevantes para o desenvolvimento de uma solução para este cenário. Sendo assim o objetivo deste trabalho foi criar uma ferramenta que otimiza de forma inteligente o processo de oferta e procura de vagas de estacionamento, tendo em vista o número crescente de veículos e o espaço limitado das cidades como contribuição para o desenvolvimento das Cidades Inteligentes.São Cristóvã

A Social-Aware Smart Parking Application

Abstract—The problem of finding parking spaces in big urban areas is one of the unsolved challenges of Smart Cities causing traffic congestion, increased carbon emission and time wasting. Network and sensor technologies available today allow to foresee Smart Cities equipped with applications able to provide real-time information on parking space availability, which can be used to assist motorists in looking for a parking space. In the present work, we propose a smart parking application that relies on the use of software agent negotiation as a mechanism to automate the selection of parking spaces according to the user preferences, but at the same time to take into account city needs in terms of areas motorists should avoid, or car pars occupancy at a specific time. Both city needs and user’s preferences are dynamic information managed by the negotiation mechanism at the time a user’s request is processed, so providing a dynamic-based selection of a parking space. I