Analysis of the factors generating vehicular traffic in the city of Quito and its relation to the application of sensorial and social data with big data as a basis for decision making

Herrera, Nelson Herrera; Santamaría, Héctor Sánchez; Macı́as-Macı́as, Miguel; Gomez-Torres, Estevan

doi:10.1109/icedeg.2016.7461710

Cited by 5 publications

(5 citation statements)

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“…Other cities serve as tangible examples of how these tools can alleviate congestion problems. The study by [33] demonstrates how Twitter data, a real-time source, can enhance local management.…”

Section: Discussionmentioning

confidence: 98%

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Exploring the Landscape of Data Analysis: A Review of Its Application and Impact in Ecuador

2023

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Data analysis is increasingly critical in aiding decision-making within public and private institutions. This paper scrutinizes the status quo of big data and data analysis and its applications within Ecuador, focusing on its societal, educational, and industrial impact. A detailed literature review was conducted from academic databases such as SpringerLink, Scopus, IEEE Xplore, Web of Science, and ACM, incorporating research from inception until May 2023. The search process adhered to the PRISMA statement, employing specific inclusion and exclusion criteria. The analysis revealed that data implementation in Ecuador, while recent, has found noteworthy applications in six principal areas, classified using ISCED: education, science, engineering, health, social, and services. In the scientific and engineering sectors, big data has notably contributed to disaster mitigation and optimizing resource allocation in smart cities. Its application in the social sector has fortified cybersecurity and election data integrity, while in services, it has enhanced residential ICT adoption and urban planning. Health sector applications are emerging, particularly in disease prediction and patient monitoring. Educational applications predominantly involve student performance analysis and curricular evaluation. This review emphasizes that while big data’s potential is being gradually realized in Ecuador, further research, data security measures, and institutional interoperability are required to fully leverage its benefits.

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Section: Discussionmentioning

confidence: 98%

“…However, in cities such as Quito, vehicular traffic congestion remains a significant issue. To address this problem, intelligent resource management could help generate smart cities [33]. Data generated by social networks and acquired by sensors can be used to identify vehicular traffic zones using historical records.…”

Section: Servicesmentioning

confidence: 99%

Exploring the Landscape of Data Analysis: A Review of Its Application and Impact in Ecuador

2023

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“…Network calculation and big data analysis have been presented to expand the favorable online algorithm of smart transit. Vehicular traffic is an important section of advanced cities 123 . Independent machines have far too many potentials to change people's lives.…”

Section: Open Issues and Future Trendsmentioning

confidence: 99%

Leveraging big data in smart cities: A systematic review

Karimi

Kashani

Akbari

et al. 2021

Concurrency and Computation

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Recently, the notion of a smart city, which includes smart well‐being, smart transit, and smart society, has attracted much attention due to its impact on people's quality of living. Data in smart cities are characterized by variety, velocity, volume, value, and veracity that are the well‐known characteristics of big data. The fast pace expanding of IoT devices and sensors in smart cities generates a huge volume of data that can help decision‐makers and managers in city management. The aim of this article is to wholly and systematically review big data handling approaches in smart cities, in which we analyze research efforts published between 2013 and February 2021, where these techniques are categorized based on their algorithms and architectures. Further, the main ideas, evaluation techniques, tools, evaluation metrics, algorithm types, advantages, and disadvantages are explored. Additionally, essential evaluation factors are introduced in which scalability and availability by 16%, time by 15% and accuracy by 11% are more in focus, and finally, some of the challenges, open issues, and future trends that are valuable for further research are suggested in big data handling approaches in smart cities.

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“…Hence, an air quality monitoring network was installed in 2003 in the city. The main source of air pollution in Quito is road-traffic (Herrera et al, 2016). Moreover, the city also has industries located mainly in surrounding areas that also contribute to air pollution (Zalakeviciute et al, 2020a).…”

Section: Study Area and Sampling Sitementioning

confidence: 99%

Assessment of metals in PM10 filters and Araucaria heterophylla needles in two areas of Quito, Ecuador

Mancheno

Žalakevičiūtė

González

et al. 2021

Heliyon

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Analysis of the factors generating vehicular traffic in the city of Quito and its relation to the application of sensorial and social data with big data as a basis for decision making

Cited by 5 publications

References 0 publications

Exploring the Landscape of Data Analysis: A Review of Its Application and Impact in Ecuador

Exploring the Landscape of Data Analysis: A Review of Its Application and Impact in Ecuador

Leveraging big data in smart cities: A systematic review

Assessment of metals in PM10 filters and Araucaria heterophylla needles in two areas of Quito, Ecuador

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