Mobile application as a tool for urban traffic data collection and generation to Advanced Traveler Information Systems using Wi-Fi networks available in urban centers

Dezani, Henrique; Damiani, Ferruccio; Marranghello, Norian; Viudes, Ulysses; Parra, Icaro Augusto

doi:10.1109/ivs.2012.6232135

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…The time limit is related to the maximum time within which the system must return a response to the traffic controller, and depends on the vehicles saturation on the roads and the minimal time used in green interval of the traffic lights. These limits are based on the time set in the work of Dezani et al (2012).…”

Section: Genetic Algorithmmentioning

confidence: 99%

Genetic algorithm-based traffic lights timing optimization and routes definition using Petri net model of urban traffic flow

Dezani

Marranghello

Damiani

2014

IFAC Proceedings Volumes

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Section: Genetic Algorithmmentioning

confidence: 99%

Genetic algorithm-based traffic lights timing optimization and routes definition using Petri net model of urban traffic flow

Dezani

Marranghello

Damiani

2014

IFAC Proceedings Volumes

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“…A tool has been developed for collecting spatial data directly in the Google Map API [6]. A mobile GIS device was used to collect and to transmit traffic information over a Wi-Fi network to reduce the wireless network consumption [7], and spatially referenced multimedia data (i.e., geospatial videos) have been collected through mobile GIS devices and used for geography research [8]. In our observations, although computer technologies, especially mobile GIS technology, have been widely used in data collection work, most of this research concentrates on solving data collection problems of certain domains with nearly constant data structure.…”

Section: Introductionmentioning

confidence: 99%

Development of a Highly Flexible Mobile GIS-Based System for Collecting Arable Land Quality Data

Zhu

Yao

et al. 2014

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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In recent years, well-designed terminal-based methods for collecting index data have gradually replaced traditional penand-paper methods and have been extensively used in numerous studies. These new approaches offer users increased accuracy, efficiency, consumption, and data compatibility compared to traditional methods. In general, we find that spatial data content and quality index systems vary widely across different arable land regions. Thus, a system for the investigation of arable land quality indices that has the flexibility to utilize various types of spatial data and quality indices without requiring program modification is needed. This paper presents the framework, the module partition, and the structure of the data exchange interface for a highly flexible mobile GIS-based system, which we call the "arable land quality index data collection system" (ALQIDCS). This system incorporates a series of self-adaptive methods, a data table-driven model and two types of formulas for flexible data collection and processing. We tested our prototype system by investigating arable land quality in the Da Xing District, Beijing and in the Te Da La Qi District, Inner Mongolia, China. The results indicate that the ALQIDCS can effectively adapt to variations in spatial data and quality index systems and meet different objectives. The limitations of the ALQIDCS and suggestions for future work are also presented.

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“…A partir do trabalho desenvolvido foi possível realizar a publicação, até o momento, de três artigos em eventos voltados às redes de Petri, controles e veículos inteligentes. O primeiro trabalho, intitulado "Mobile Application as a tool for urban traffic data collection and generation to Advanced Traveler Information Systems using Wi-Fi networks available in urban centers" foi publicado no IEEE Intelligent Vehicle Symposium (IV'2012) [Dezani, 2012a]. O segundo artigo, chamado "Finding best urban routes based on analyses of High Level and IOPT Petri net models" [Dezani, 2012c], e o terceiro artigo, intitulado "Controlling Traffic Jams on Urban Roads Modeled in Coloured Petri Net using Genetic Algorithm" [Dezani, 2012b], foram apresentados no IEEE International Conference On Industrial Electronics Society (IECON'2012).…”

Section: Conclusõesunclassified

Otimização do fluxo do tráfego urbano modelado em redes de Petri utilizando algoritmo genético

Dezani¹,

Damiani²

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Ao meu orientador, professor Furio Damiani, pela inspiração concebida e compartilhada e pela confiança depositada no desenvolvimento deste trabalho.Aos meus pais, Rui Dezani e Lucianete Mendes Dezani, ao meu irmão e família, pelo amor e carinho que sempre priorizaram minha educação e acreditaram em mim, apoiando-me e auxiliando-me, para que eu pudesse realizar meus trabalhos e sonhos.Ao professor Norian Marranghello, da Universidade Estadual de São Paulo, pelo constante incentivo, sempre indicando, com extrema sabedoria, a direção a ser tomada nos meus estudos.Ao professor Luis Gomes, da Universidade Nova de Lisboa, pelo auxílio no desenvolvimento da minha tese de doutorado e por proporcionar-me uma grande experiência acadêmica no período em que estive em Portugal. Aos meus professores do doutorado, especialmente os professores Romis Ribeiro de Faissol Attux, Fernando José Von Zuben e Alice Maria B. H. Tokarnia, que sempre lecionaram aulas excepcionais e inspiraram a busca pelo conhecimento. Ao professor Carlos Magnus Carlson Filho, que sempre me inspirou nas áreas acadêmica, profissional e pessoal, sendo um ótimo professor e amigo. À Jaqueline Bisson, pela grande ajuda prestada durante todos os anos em que estive realizando o doutorado. Aos meus amigos de trabalho da Faculdade de Tecnologia de São José do Rio Preto, em especial aos professores

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Mobile application as a tool for urban traffic data collection and generation to Advanced Traveler Information Systems using Wi-Fi networks available in urban centers

Cited by 6 publications

References 5 publications

Genetic algorithm-based traffic lights timing optimization and routes definition using Petri net model of urban traffic flow

Genetic algorithm-based traffic lights timing optimization and routes definition using Petri net model of urban traffic flow

Development of a Highly Flexible Mobile GIS-Based System for Collecting Arable Land Quality Data

Otimização do fluxo do tráfego urbano modelado em redes de Petri utilizando algoritmo genético

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