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Smart city article details

Title	Digital Twins For Streamlining Road-Traffic Flow
ID_Doc	20292
Authors	Fujishima M.; Takagi M.; Yokoya M.; Nakada R.
Year	2023
Published	NTT Technical Review, 21, 4
DOI	http://dx.doi.org/10.53829/ntr202304fa4
Abstract	We are studying the use of digital twins to optimize traffic flow so that traffic congestion will not occur. To reproduce current real-world traffic flow and predict future traffic flow using digital twins requires traffic-demand data with fine granularity in time and space. Due to recent increasing activity to create smart cities, we can now obtain cross-sectional traffic-volume data for short time intervals of five minutes, but such measurements are still only being taken at a relatively small number of locations, so spatial granularity is large. In this article, we introduce our OD (origin-destination)-estimation technology that uses cross-sectional traffic volume on arterial roads to interpolate such fragmented cross-sectional traffic data to generate realistic traffic-demand data. © 2023 Nippon Telegraph and Telephone Corp.. All rights reserved.
Author Keywords	digital twin; Exploring Engine for the Future Society; traffic-flow simulation

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