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KDDI to Leverage Big Data, IoT and Smartphone/Vehicle Sensors for Disaster Prevention

KDDI to Leverage Big Data, IoT and Smartphone/Vehicle Sensors for Disaster Prevention Image Credit: KDDI

KDDI, OYO and Toyota Motor are teaming up to establish an information support system for prevention of natural disasters using cutting-edge technologies in IoT and big data analysis.

The companies agreed to carry out demonstration experiments with the aim of commercializing this system by 2019.

This system will bring together KDDI's demographic movement data, OYO's various data from disaster monitoring sensors, probe data obtained through Toyota's connected cars, and publicized data, such as weather information, with the aim of creating all kinds of disaster prevention information.

This system will enable local administrations to, e.g., ascertain where the passable roads are, and allow the monitoring of extensive infrastructure in real time and during disasters or normal times. It will boost the accuracy and speed of decision-making in issuing evacuation warnings, regulating traffic, etc., ensuring safety in the daily lives of local residents, said KDDI.

This system will enable vehicles and smartphones to be used as mobile IoT sensors to complement data gathered through fixed sensors set up by the government and local administrations. 

The companies will begin demonstration experiments in 2018, and aim for practical application of the system by 2019. We will cooperate extensively with other companies who wish to take part in the practical application of this system with the aim of further evolving the concept, and developing various services targeting private enterprises.

KDDI will work on this system to develop a way of carrying out an integrated analysis of various IoT sensor data and demographic movement using big data on positional information from cell phones, and newly developed demographic movement analysis/prediction technology. 

Toyota will provide this system with data that has been processed statistically by the Mobility Services Platform gathered from traffic information probes and hazard lamps, information on outside air temperature, etc., and enable visualization of the state of traffic to contribute to the securing of greater urban safety and security.

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Ray is a news editor at The Fast Mode, bringing with him more than 10 years of experience in the wireless industry.

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