Technology:
Various
projects to redevelop Tokyo for the 2020 Olympics using big data have started. Nippon
IBM added the newly developed traffic prediction function to its big-data-based
meteorological disaster prevention system that IBM of the U.S. delivered to Rio
de Janeiro of Brazil, and it will put the integrated system into practical use in
2014. The new system will reproduce the real traffic conditions in the city on
the computer using such data as the location of traffic signal, speed limit, and
road width, and display huge amount of data including distance of traffic jam
expected to occur when as many as 50 million vehicles trave inside the city. It
will analyze instantly how to arrange roads, tunnels, and bridges to void traffic
jams. It will also analyze the number of trains and buses to increase by
combining the system with the analysis of twitters on the Internet.
Fujitsu
developed a system to figure out dangerous spots where an accident is liable to
occur with the help of data on speed and location collected from travelling
vehicles. NTT Data is developing a system to eliminate a traffic jam by
controlling the switching time of the signal and planning to put it into
practical use in three years. The company collected travel data of 3,220 taxies
for one month in Tokyo and estimated the time to wait for the signal to change using
the collected data. The system successfully reduced the time by half.
According
to the Metropolitan Police Department, the total length of traffic jam in
weekdays was about 1,400 km per day in Tokyo in 2011 and will supposedly grow
longer in 2020. The Ministry of International Affairs and Communications reckons
that applying big data to the alleviation of traffic jams will reduce the fuel
consumption of vehicles by 1,160 billion yen per year.
Tokyo will host the Olympics in 2020.
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