Towards Smart Mobility During Flooding Events in Urban Areas using Crowdsourced Information

Castro, Ubaldo; Avila, J. I.; Sustaita, Cynthia V.; Hernandez, Mirella A.; Larios, Victor M.; Villanueva-Rosales, Natalia; Mondragon, Oscar; Cheu, Ruey Long; Maciel, Rocío

doi:10.1109/isc246665.2019.9071781

Cited by 1 publication

(10 citation statements)

References 6 publications

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Section: Floodsmentioning

confidence: 99%

“…Cameras are also effective tools for flood detection [41,48,49,63,69,[71][72][73]. Regarding the use of cameras, Castro et al [72] suggested using no infrared cameras, while Castro et al [72] and Garcia et al [48] suggested using cameras with water level mark-ers. Regarding water level markers, Castro et al [72] suggested placing highly visible reflective tapes on surfaces visible to cameras ranging from 0 to 1.5 m. Each tape was spaced out with other tapes, which allowed us to obtain a better approximation of the severity of the water level.…”

Section: Floodsmentioning

confidence: 99%

“…Regarding the use of cameras, Castro et al [72] suggested using no infrared cameras, while Castro et al [72] and Garcia et al [48] suggested using cameras with water level mark-ers. Regarding water level markers, Castro et al [72] suggested placing highly visible reflective tapes on surfaces visible to cameras ranging from 0 to 1.5 m. Each tape was spaced out with other tapes, which allowed us to obtain a better approximation of the severity of the water level. This method could improve accuracy because it was not affected by the temperature and humidity of the air or the objects that could absorb wave sounds.…”

Section: Floodsmentioning

confidence: 99%

“…The models of microprocessors include the Raspberry Pi 4 Model B [48], Arduino Uno [43], Raspberry Pi 3 Model B+ [43], Analog to Digital Converter [50], Intel PXA271 XScale [71], and ESP32 [67]. The models of single computer boards include Arduino [44,68], NodeMCU [47], TelosB [74], Raspberry Pi [72], ARM Cortex M4 [70], and Arduino DUE [67]. We can also consider SD cards for local data storage [70].…”

Section: Floodsmentioning

confidence: 99%

“…People usually transmit the data from sensors to servers through Bluetooth [38], Ethernet [38,42,43], Wi-Fi [38,43,55,56,59,68,72], and cellular communication technology [42,57,59,71,80], Radio Frequency [42], and radio [44]. Cellular communication technologies include GSM [57], GPRS [57,71], and 3G [42].…”

Section: Communication Technologies and Protocolsmentioning

confidence: 99%

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Sensors on the Internet of Things Systems for Urban Disaster Management: A Systematic Literature Review

Zeng,

Pang,

Tang

2023

Sensors

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The occurrence of disasters has the potential to impede the progress of sustainable urban development. For instance, it has the potential to result in significant human casualties and substantial economic repercussions. Sustainable cities, as outlined in the United Nations Sustainable Development Goal 12, prioritize the objective of disaster risk reduction. According to the Gesi Smarter 2030, the Internet of Things (IoT) assumes a pivotal role in the context of smart cities, particularly in domains including smart grids, smart waste management, and smart transportation. IoT has emerged as a crucial facilitator for the management of disasters, contributing to the development of cities that are both resilient and sustainable. This systematic literature analysis seeks to demonstrate the sensors utilized in IoT for the purpose of urban catastrophe management. The review encompasses both the pre-disaster and post-disaster stages, drawing from a total of 72 articles. During each stage, we presented the characteristics of sensors employed in IoT. Additionally, we engaged in a discourse regarding the various communication technologies and protocols that can be utilized for the purpose of transmitting the data obtained from sensors. Furthermore, we have demonstrated the methodology for analyzing and implementing the data within the application layer of IoT. In conclusion, this study addresses the existing research deficiencies within the literature and presents potential avenues for future exploration in the realm of IoT-enabled urban catastrophe management, drawing upon the findings of the evaluated publications.

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