Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Junji Urata"'
Publikováno v:
Journal of Architecture and Planning (Transactions of AIJ). 87:1832-1843
Publikováno v:
Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management). 77:184-200
Publikováno v:
Journal of JSCE. 9:20-38
Publikováno v:
Journal of Big Data Analytics in Transportation. 2:199-220
Deep learning methods are being increasingly applied in transport studies, while the methods require modellers to go through a try-and-error model tuning process particularly on choosing neural network structure. Moreover, the accuracy level also dep
Autor:
Ryuki Watanabe, Junji Urata, Yasuhiro Shiomi, Prateek Garg, Varun Varghese, Kazuki Yoshizoe, Makoto Chikaraishi
Publikováno v:
Transport Policy. 98:91-104
Since the cost and time required to finetune parameters in traditional short-term traffic prediction models such as traffic simulators are very high, the prediction models have been developed mainly for managing recurrent congestion, rather than non-
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
IFAC-PapersOnLine. 52:31-38
Humanitarian logistics is important for minimizing the damage after a disaster. In Japan, based on past disasters, three empirical control strategies related to humanitarian logistics have been proposed: two relief transportation strategies, and an i
Publikováno v:
Transportation Research Procedia. 34:267-274
The ability to find near-optimal traffic assignments for a very large network within a few days time will substantially contribute to reduce economic losses following major earthquake disasters. However, lack of efficient numerical tools and methodol
Publikováno v:
Transportation Research Part C: Emerging Technologies. 130:103293
Ride-sourcing drivers spend a significant portion of their service time being idle, during which they can move freely to search for the next customer. Such customer-searching movements, while not being directly controlled by ride-sourcing platforms,