KDDI, OYO and Toyota have agreed to cooperate in establishing an information support system for the Japanese government and local administrations as a measure for disaster prevention and mitigation using IoT and big data analytics technologies.
The proposed system will incorporate 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 various kinds of disaster prevention information.
The system will enable local administrations to do things such as ascertain where the passable roads are, and allow the monitoring of extensive infrastructure in real time and during disasters, or even during normal times. KDDI says this will boost the accuracy and speed of decision-making in issuing evacuation warnings, regulating traffic, etc.
In response to natural disasters, such as earthquakes, typhoons, localized torrential rain, landslides, damage from heavy snow, etc, that have struck frequently in various regions in recent years, local administrations have established systems for gathering, analyzing and communicating information on disaster prevention. Then evacuation warnings are issued (such as traffic regulation on roads before and after disasters, and issuing of evacuation orders to residents) after a variety of decision-making processes.
On the other hand, local administrations are faced with more people in need of assistance during evacuation due to aging, and more cases of abnormal weather, as well as larger, more extensive and complicated disasters due to climate change, in addition to dealing with aging infrastructure. This has led to the need to further bolster regional disaster prevention systems.
To resolve these issues, KDDI, OYO and Toyota are combining and analyzing the big data they hold to come up with methods of efficiently gathering and analyzing disaster information, and consider optimal methods of providing assistance during disasters.
The system enables 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.
Merging and analyzing the various kinds of big data gathered through these new mobile IoT sensors will allow the establishment of an extensive infrastructure monitoring system during disasters as well as normal times. This will boost the accuracy and speed of decision-making by the government and local administrations by enabling the discovery of signs prior to disasters, on-site confirmation, implementing of disaster prevention measures (traffic regulation, evacuation warnings, etc.), on-site safety confirmation, and the lifting of regulations and warnings.
KDDI – who will be contributing big data gathered via the smartphones of its customers – noted that the collected data was obtained with consent of each user and anonymized.
KDDI, OYO and Toyota will begin demonstration experiments in 2018, and aim for commercialization of the system by 2019.
The companies will demo the system concept at The 16th ITS Asia-Pacific Forum Fukuoka 2018 on May 8.