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Abstract : Vol.41No.4(2006.12)
Research Reports
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| P.32 |
Sintering
Inhibition Mechanism of Platinum on Ceria-based Oxide
Support for Automotive Catalysts
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Yasutaka Nagai, Kazuhiko Dohmae,
Hirofumi Shinjo, Takeshi Hirabayashi,
Nobuyuki Takagi, Takashi Minami,
Shinichi Matsumoto
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The sintering of precious metal particles during the
operation of automotive three-way catalysts is considered
to reduce the catalytic activity, that is, degrade the
catalyst. In this paper, we demonstrated that the Pt
particles in Pt/ceria-based catalysts did not sinter
at all during high-temperature ageing in an oxidizing
atmosphere, in contrast with conventional Pt/Al2O3
catalysts. The sintering inhibition mechanism of Pt
in Pt/ceria-based oxide catalyst has been studied using
X-ray absorption spectroscopy. We found that the Pt-O-Ce
bond, which is the Pt-oxide-support interaction, functioned
as an anchor and inhibited the sintering of Pt particles
on ceria-based oxide.
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| P.40 |
Development
of a Travel Time Prediction Method for the TOYOTA G-BOOK
Telematics Service
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Hironobu Kitaoka, Takahiro Shiga,
Hiroko Mori, Eiji Teramoto,
Toshio Inoguchi
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To realize optimal dynamic route guidance and arrival
time prediction with the TOYOTA G-BOOK telematics service,
we developed a new computational method that we call
the "Three-range Composite Prediction Method."
With this, we can predict travel times using traffic
information provided by the VICS (Vehicle Information
and Communication Systems). This method involves three
prediction models and a process for combining them.
The three models have been developed with the aim of
both characterizing the dynamics of traffic flows and
the regular patterns of traffic demand, which enable
us to predict traffic conditions both in the immediate
future and somewhat further in the future. The combining
process calculates travel times by combining the outputs
of the three models using weight coefficients that are
optimized for every area, route, and time range. This
combining process makes it possible to predict future
travel times with higher accuracy over a longer time
range.
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| P.45 |
Traffic
Simulation for Predicting Traffic Situations at Expo
2005
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Hiroko Mori, Hironobu Kitaoka, Eiji Teramoto
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We predicted the traffic situations for Expo 2005,
held in Aichi, Japan, and evaluated the plan of measures,
such as traffic restrictions, by using a traffic simulator
NETSTREAM which we developed. This was done in response
to a request from the Aichi Prefectual Police to evaluate
their plans, given that we had had prior success with
predicting traffic situations.
We predicted heavy traffic jams on the Chikaraishi-Nagoya
Line which is a major road between Nagoya and the venues.
In this paper, we describe our evaluation of possible
traffic detour controls that could have been used to
avoid this congestion. In addition, to maintain smooth-running
transportation links for both buses and commuters, we
also evaluated the use of exclusive bus lanes on the
Nagoya-Seto Expressway which is the main expressway
link from the Tomei Expressway.
Based on these predictions and evaluations, we confirmed
that the traffic jam information, the exclusive bus
lanes (used only on weekend mornings), the prohibition
of private cars within 3 km of the Expo venues, and
the use of Park & Ride schemes were indispensable
for reducing traffic jams around the venues and on the
main roads. During the Expo, thanks to the application
of these measures, there were few traffic jams and all
transportation links ran smoothly.
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