Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Keiichiro Hayakawa"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract We analyzed time-series changes in people’s purpose-specific mobility characteristics owing to the COVID-19 pandemic in the Tokyo area of Japan, where only legally non-binding requests for self-restraint were enforced. A multiple regressio
Externí odkaz:
https://doaj.org/article/33e96f06a11a4361a036e75483734eb9
Autor:
Keiichiro Hayakawa, Makoto Chikaraishi
Publikováno v:
Transportation Research Part B: Methodological. 170:91-118
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Publikováno v:
International Journal of Data Science and Analytics. 13:47-61
Unsupervised outlier detection without the need for clean data has attracted great attention because it is suitable for real-world problems as a result of its low data collection costs. Reconstruction-based methods are popular approaches for unsuperv
Publikováno v:
Transportation Research Part C: Emerging Technologies. 108:115-129
Recently, the demand for public open spaces in cities including pedestrian-oriented streets, squares, and plazas has been growing, for better social and psychological health of modern communities. To create lively public spaces, understanding various
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783030474355
PAKDD (2)
PAKDD (2)
Unsupervised outlier detection is commonly performed using reconstruction-based methods such as Principal Component Analysis. A recent problem in this field is the learning of low-dimensional nonlinear manifolds under L0-norm constraints for error te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a6372d87c3e69d79b125338ae9d855c
https://doi.org/10.1007/978-3-030-47436-2_51
https://doi.org/10.1007/978-3-030-47436-2_51
Publikováno v:
ICTAI
Cooperation among different vehicles is a promising concept for Mobility as a Service (MaaS). A principal problem in MaaS is optimizing the vehicle routes to reduce the total travel cost with cooperation. For example, we know that platooning among la
Publikováno v:
ITSC
Traffic signal control can mitigate traffic congestion and reduce travel time. A model-free reinforcement learning (RL) approach is a powerful framework for learning a responsive traffic control policy for short-term traffic demand changes without pr
Autor:
Keiichiro Hayakawa, Fujio Tsumori
Publikováno v:
Journal of the Japan Society of Powder and Powder Metallurgy. 53:565-570
An attempt is made to a new compaction model, which may agree well with experimental result when the particles are very adhesive. In our previous report1), we proposed a new model, in which adhesion force by liquid bridge is considered, for two-dimen
Autor:
Keiichiro Hayakawa, Eiji Hato
Publikováno v:
Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management). 73:I_1159-I_1172