scholarly journals Produção de dados de tráfego sintéticos através de algoritmo genético e simulação microscópica

TRANSPORTES ◽  
2010 ◽  
Vol 18 (3) ◽  
Author(s):  
José Elievam Bessa Júnior ◽  
José Reynaldo Setti

<p><strong>Resumo: </strong>Neste artigo, propõe-se um método para produzir, por meio de um simulador, uma série de dados de tráfego sintéticos que representem diversas condições operacionais e comportamentais, como os fornecidos por sensores instalados nas vias. O método proposto baseia-se num algoritmo genético (AG), que automaticamente calibra um modelo de simulação microscópico. Entre os cromossomos (soluções) gerados pelo AG na calibração do simulador, são escolhidos os que produzem resultados marginalmente inferiores ao ótimo. As distribuições de valores dos parâmetros que formam os cromossomos deste subconjunto são usadas para gerar, através de uma amostragem de Monte Carlo, parâmetros para as replicações da simulação que são usadas para produzir os dados sintéticos. A viabilidade do método proposto é demonstrada através de um estudo de caso, no qual o simulador usado foi o TWOPAS e os dados de tráfego foram obtidos de sensores instalados no km 98 da SP98, uma rodovia de pista simples no estado de São Paulo.</p><strong>Abstract: </strong>The paper proposes a method for generating, by a simulator, synthetic traffic data which represents a wide range of operational and behavioral conditions, such as those obtained from detectors installed on roads. The proposed method uses a genetic algorithm (GA) to calibrate a traffic simulation model automatically. A subset of chromosomes (solutions) generated by the GA during the calibration of the simulator containing those that produce results marginally inferior to the best solution is used to produce distributions of feasible values for the simulation model parameters. The distributions of simulation model parameters contained in the chromosomes of this subset of solutions are used to produce, by Monte Carlo sampling, parameters for the simulations that generate the synthetic data. The feasibility of the proposed approach is demonstrated by a case study using TWOPAS and data from detectors installed on SP98, a two-lane highway in the state of São Paulo, Brazil.

2018 ◽  
Vol 9 (2) ◽  
pp. 354
Author(s):  
Fernando Rodrigues de Amorim ◽  
José Claudenir Nanetti Junior ◽  
Pedro Henrique Camargo de Abreu

The Brazilian citriculture is one of the activities that generate the most income within the agrobusiness, being responsible for providing opportunities for thousands of direct and indirect workers, besides being a sector that moves a great amount of financial resources. The orange crop has been going through great price swings in the recent years, and with this, many farmers are failing to invest in potential, as a result of the risks involved in the activity. A large part of these risks is related to the buyer market, which is controlled by the large juice industries and by the high capital required for the implementation of the new orchards. The objective of this work is to identify the risk factors for attractiveness and to analyze the economic viability of the orange crop in a farm in the municipality of Bauru, in the state of São Paulo. For this, the Monte Carlo method be used to simulate the probabilities of success in the scenarios analyzed and the NPV, IRR and Payback to determine the feasibility of the project. The research is characterized as a case study. The results obtained showed that the investment is feasible, only in the real and optimistic scenario and will provide a return between the 6th and the 7th year of the project, providing a balance of approximately R$ 4,190,252.94 after 10 years of investment which represents an attractive compared to the initial investment value of R$ 937,500.00.


2017 ◽  
Vol 03 (05) ◽  
pp. 314-324
Author(s):  
Adilson Costa Macedo ◽  
Gastão Santos Sales ◽  
Maria Isabel Imbronito
Keyword(s):  

Author(s):  
Leonardo Cardoso

This book is an ethnographic study of controversial sounds and noise control debates in Latin America’s most populous city. It discusses the politics of collective living by following several threads linking sound-making practices to governance issues. Rather than discussing sound within a self-enclosed “cultural” field, I examine it as a point of entry for analyzing the state. At the same time, rather than portraying the state as a self-enclosed “apparatus” with seemingly inexhaustible homogeneous power, I describe it as a collection of unstable (and often contradictory) sectors, personnel, strategies, discourses, documents, and agencies. My goal is to approach sound as an analytical category that allows us to access citizenship issues. As I show, environmental noise in São Paulo has been entangled in a wide range of debates, including public health, religious intolerance, crime control, urban planning, cultural rights, and economic growth. The book’s guiding question can be summarized as follows: how do sounds enter and leave the sphere of state control? I answer this question by examining a multifaceted process I define as “sound-politics.” The term refers to sounds as objects that are susceptible to state intervention through specific regulatory, disciplinary, and punishment mechanisms. Both “sound” and “politics” in “sound-politics” are nouns, with the hyphen serving as a bridge that expresses the instability that each concept inserts into the other.


2020 ◽  
Vol 11 (6) ◽  
pp. 24-31 ◽  
Author(s):  
Luciana Ferreira Leite Leirião ◽  
Daniela Debone ◽  
Theotonio Pauliquevis ◽  
Nilton Manuel Évora do Rosário ◽  
Simone Georges El Khouri Miraglia

2008 ◽  
Vol 10 (2) ◽  
pp. 153-162 ◽  
Author(s):  
B. G. Ruessink

When a numerical model is to be used as a practical tool, its parameters should preferably be stable and consistent, that is, possess a small uncertainty and be time-invariant. Using data and predictions of alongshore mean currents flowing on a beach as a case study, this paper illustrates how parameter stability and consistency can be assessed using Markov chain Monte Carlo. Within a single calibration run, Markov chain Monte Carlo estimates the parameter posterior probability density function, its mode being the best-fit parameter set. Parameter stability is investigated by stepwise adding new data to a calibration run, while consistency is examined by calibrating the model on different datasets of equal length. The results for the present case study indicate that various tidal cycles with strong (say, &gt;0.5 m/s) currents are required to obtain stable parameter estimates, and that the best-fit model parameters and the underlying posterior distribution are strongly time-varying. This inconsistent parameter behavior may reflect unresolved variability of the processes represented by the parameters, or may represent compensational behavior for temporal violations in specific model assumptions.


2014 ◽  
Vol 111 ◽  
pp. 33-46 ◽  
Author(s):  
Cassiano Antonio Bortolozo ◽  
Marco Antonio Couto ◽  
Jorge Luís Porsani ◽  
Emerson Rodrigo Almeida ◽  
Fernando Acácio Monteiro dos Santos

2021 ◽  
Vol 3 (4) ◽  
pp. 3466-3477
Author(s):  
Amanda Stefany Francisco Silva ◽  
João Victor Vaz Fontes ◽  
Maria Eduarda Moraes Dos Santos

No atual ambiente competitivo é imperativo que as empresas busquem a contínua satisfação dos consumidores, a fim de atingir a fidelização. Diante da importância da satisfação para as empresas, este estudo analisa o grau de satisfação e propõe melhorias contínuas para um restaurante no interior de São Paulo. Para isso, aplicou-se o Método de Análise e Solução de Problemas – MASP, juntamente com um questionário para identificação do nível de satisfação dos consumidores. Os resultados indicaram que o atendimento foi o fator de insatisfação dos consumidores. Diante disso, foi elaborado um plano de ação que resultou na programação de um aplicativo e treinamentos aos funcionários, com o objetivo de melhorar o atendimento e obter melhores resultados.


2007 ◽  
Vol 40 (11) ◽  
pp. 1529-1536 ◽  
Author(s):  
N. Torro-Alves ◽  
R.D. Herculano ◽  
C.A.S. Terçariol ◽  
O. Kinouchi Filho ◽  
C.F.O. Graeff
Keyword(s):  

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