Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shangfo Huang"'
Publikováno v:
IEEE Access, Vol 8, Pp 63349-63358 (2020)
Accurate speed predictions for urban roads are highly important for traffic monitoring and route planning, and also help relieve the pressure of traffic congestion. Many existing studies on traffic speed prediction are based on convolutional neural n
Externí odkaz:
https://doaj.org/article/be69f0d9a27148ccb1bbe7b3676cee9c
Publikováno v:
IEEE Access, Vol 8, Pp 63349-63358 (2020)
Accurate speed predictions for urban roads are highly important for traffic monitoring and route planning, and also help relieve the pressure of traffic congestion. Many existing studies on traffic speed prediction are based on convolutional neural n
Publikováno v:
Concurrency and Computation: Practice and Experience. 32
Publikováno v:
International Conference on Transportation and Development 2018.
Publikováno v:
CICTP 2018.
Publikováno v:
Security, Privacy, and Anonymity in Computation, Communication, and Storage ISBN: 9783030053444
SpaCCS
SpaCCS
With the rapid development of Internet of Things (IoT) technology, massive data are generated by IoT terminals. Cloud computing is the current mainstream method to process these massive data effectively. However, the centralized cloud computing has t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82f6b292b328418b270156cbfcd21466
https://doi.org/10.1007/978-3-030-05345-1_28
https://doi.org/10.1007/978-3-030-05345-1_28
Publikováno v:
Security, Privacy, and Anonymity in Computation, Communication, and Storage ISBN: 9783030053444
SpaCCS
SpaCCS
The large amount of traffic data collected by urban traffic mobile terminals and sensing equipments provides us the opportunity to study group travel patterns and laws. In this paper, we built a New Transit Require Design Module (NTRDM) from the pers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09b360ae039b7b9a855c48606c22bc20
https://doi.org/10.1007/978-3-030-05345-1_29
https://doi.org/10.1007/978-3-030-05345-1_29