Identifying Roadway Surface Disruptions Based on Accelerometer Patterns

Martínez, Fernando; González, Luis; Carlos, Manuel Ricardo

doi:10.1109/tla.2014.6827873

Cited by 21 publications

(6 citation statements)

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“…A lo largo de la trayectoria se recolectaron eventos correspondientes a 24 baches, 46 boyas y 51 topes. La red neuronal implementada del lado del servidor clasificó con un porcentaje de acierto superior al 85% estos eventos [14]. El sistema de notificación utiliza esta información.…”

Section: Resultsunclassified

SASVi – Sistema de Asistencia y Seguridad Vial

Martínez¹,

González²,

Carlos³

2014

RCS

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Section: Resultsunclassified

SASVi – Sistema de Asistencia y Seguridad Vial

Martínez¹,

González²,

Carlos³

2014

RCS

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“…Quanto à percepção de risco, pode ser referida ao considerar-se como pessoas leigas "pensam sobre o risco, que inclui um conjunto de crenças e valores que dão significado a um acontecimento ameaçador" (Thielen;Hartmann;Soares, 2008, p. 133). A percepção dos riscos pode ser classificada em fatores externos, relacionados ao ambiente, e internos, relacionados a cada pessoa, os quais interagem entre si.…”

Section: O Risco E a Ameaçaunclassified

A segurança de pessoas na carreira ministerial: Um estudo de caso do ministério público do estado do Pará

Bitar,

Rosário

2023

RDHD

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Este texto apresenta um estudo de caso sobre a segurança necessária ao desenvolvimento das atividades funcionais dos membros do Ministério Público do Pará. Na realização desta pesquisa foram obtidos dados publicados em fontes abertas que apontam ocorrer situações de ameaça no exercício da função a membros do Poder Judiciário e Ministério Público, algumas resultando em morte, potencializando o cuidado com a proteção pessoal a seus integrantes. Objetivou-se identificar se os membros do Ministério Público do Estado do Pará percebem a carreira ministerial como sendo uma atividade de risco e ameaça, e de que forma ocorre, pela instituição, a proteção pessoal aos integrantes ameaçados. A coleta de dados da pesquisa foi realizada no período de julho a outubro de 2019. Utilizou-se a pesquisa exploratória e descritiva por meio de instrumento estruturado – Google Docs –, tendo seguido em todas as etapas os aspectos éticos da pesquisa com seres humanos. Os resultados apresentados mostram que o membro do Ministério Público percebe a carreira como uma atividade de risco, sendo necessário o aprimoramento da segurança pessoal oferecida pelo órgão.

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“…In the year of 2014, Kattan and Aboalmaaly [96] utilized ANN to differentiate pavement anomalies from normal roads, and the success rate was over 61%. Gónzalez et al [97] used ANN and logistic regression, of which the classification accuracy was 86%. Since then, at least five papers utilizing Machine Learning to solve the problem of pavement anomalies based on MCS were published each year until 2017, although the amount of publications utilizing Machine Learning decreased slightly due to the decreasing of total publication amount in 2018.…”

Section: Data Processing Phasementioning

confidence: 99%

Pavement Management Utilizing Mobile Crowd Sensing

Tian

Yuan

Zhou

et al. 2020

Advances in Civil Engineering

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Pavement management, which is vital in road transportation and maintenance, is facing some troubles, such as high costs of labors and machineries, low detecting efficiency, and low update rate of pavement conditions by means of traditional detection ways. Benefiting from the development of mobile communication, mobile computing, and mobile sensing techniques, the intelligence of mobile crowd sensing (MCS), which mainly relies on ubiquitous mobile smart devices in people’s daily lives, has overcome the above drawbacks to a large extent as one new effective and simple measure for pavement management. As a platform for data collection, processing, and visualization, a common smart device can utilize inertial sensor data, photos, videos, subjective reports, and location information to involve the public in pavement anomalies detection. This paper systematically reviewed the studies in this field from 2008 to 2018 to establish an overall knowledge. Through literature collection and screening, a database of studies was set up for analysis. As a result, the year profile of publications and distribution of research areas indicate that there has been a constant attention from researchers in various disciplines. Meanwhile, the distribution of research topic shows that inertial sensors embedded in smartphones have been the most popular data source. Therefore, the process of pavement anomalies detection based on inertial data was reviewed in detail, including preparatory, data collection, and processing phases of the previous experiments. However, some of the key issues in the experimental phases were investigated by previous studies, while some other challenges were not tackled or noticed. Hence, the challenges in both experiment and implementation stages were discussed to improve the studies and practice. Furthermore, several directions for future research are summarized from the main issues and challenges to offer potential opportunities for more relevant research studies and applications in pavement management.

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Identifying Roadway Surface Disruptions Based on Accelerometer Patterns

Cited by 21 publications

References 0 publications

SASVi – Sistema de Asistencia y Seguridad Vial

SASVi – Sistema de Asistencia y Seguridad Vial

A segurança de pessoas na carreira ministerial: Um estudo de caso do ministério público do estado do Pará

Pavement Management Utilizing Mobile Crowd Sensing

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