The Vehicle as a Mobile Sensor Network base IoT and Big Data for Pothole Detection Caused by Flood Disaster

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The condition where Indonesia is a tropical country and has two seasons where in April to September is the dry season while October to March is the rainy season where during the rainy season it causes flooding in several big cities in Indonesia so that puddles meet the road segments resulting in roads become damaged and perforated where the problem arises starting from a traffic accident, the exhaust gas CO2 on the vehicle does not burn completely, so that adds to air pollution. To answer this problem, we built a solution to make a platform to detect potholes and road monitoring. The research carried out the implementation of road observers that utilized IMU sensor that attached to the embedded system, send the location information to Smart Environment Monitoring and Analytics in Real Time System, is a monitoring platform system based on the Internet of Things, and Big Data. This system is an integration of several sensor devices connected to the embedded system and communication devices attached to the vehicle. © 2019 Published under licence by IOP Publishing Ltd. View source
Year

2019

Publisher

Institute of Physics Publishing

Volume

239

DOI

http://dx.doi.org/10.1088/1755-1315/239/1/012034

Language

Keyword(s)

Flooding, IoT-Big Data, Pothole Smart Environment Monitoring, Vehicle as a Mobile Sensor Network, Accidents, Air pollution, Big data, Embedded systems, Environmental protection, Floods, Interactive computer systems, Landforms, Monitoring, Oil well flooding, Planning, Real time systems, Roads and streets, Sensor networks, Sustainable development, Vehicle to vehicle communications, Vehicles, Communication device, Flood disaster, Location information, Mobile sensor networks, Monitoring platform, Road monitoring, Smart environment, Tropical countries, Internet of things

Classification
Form: Conference Proceedings
Geographical Area: Indonesia

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