Zobrazeno 1 - 10
of 1 264
pro vyhledávání: '"Mobility Prediction"'
Publikováno v:
International Journal of Intelligent Networks, Vol 5, Iss , Pp 19-29 (2024)
The exchange of perceptual information between autonomous vehicles could significantly improve driving safety. In general, obtaining more information means driving more safely. However, Frequent information sharing consumes a significant amount of ch
Externí odkaz:
https://doaj.org/article/ef2bc023b8c8436fa647201b86ec1458
Publikováno v:
Transportation Engineering, Vol 16, Iss , Pp 100252- (2024)
Intelligent Transportation Systems are rapidly expanding to meet the growing demand for safer, more efficient, and sustainable transportation solutions. These systems encompass various applications, from traffic management and control to autonomous v
Externí odkaz:
https://doaj.org/article/0da0f644416941de94810b6e03659862
Autor:
Quan T. Ngo, Seokhoon Yoon
Publikováno v:
IEEE Access, Vol 11, Pp 92353-92364 (2023)
Opportunistic worker (OW) selection is a challenging problem in mobile crowd sensing (MCS), where tasks are assigned to individuals to be completed seamlessly during their daily routines without any deviation from their usual routes. In this paper, w
Externí odkaz:
https://doaj.org/article/cda9ec0650074e70aa254e59c18fcf78
Publikováno v:
International Journal of Intelligent Networks, Vol 4, Iss , Pp 113-121 (2023)
Flying Ad-hoc Networks (FANETs) are becoming increasingly popular for various applications. Effective routing protocols for FANETs are essential yet challenging due to the high dynamic nature of Unmanned Aerial Vehicles (UAVs). Most existing routing
Externí odkaz:
https://doaj.org/article/78d5988a566e4843b7f9ef012e268fcf
Autor:
Qiao Wang, David Grace
Publikováno v:
IEEE Access, Vol 11, Pp 29074-29090 (2023)
Proactive edge caching has been regarded as an effective approach to satisfy user experience in mobile networks by providing seamless content transmission and reducing network delay. This is particularly useful in rapidly changing vehicular networks.
Externí odkaz:
https://doaj.org/article/eed91a84b34847ca8c07b51a44eefa0d
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 44, Iss , Pp 101456- (2023)
Future smart cities will undoubtedly generate and process an immense volume of data. Developing a smart network infrastructure is thus becoming a key component for the better development and efficient governance of smart cities. The main objective of
Externí odkaz:
https://doaj.org/article/bfeac7a0c2c94f25bc1387e227f7c996
Publikováno v:
Ain Shams Engineering Journal, Vol 14, Iss 7, Pp 101989- (2023)
Vehicular Ad-hoc Networks (VANETs) are recently getting high attention from different researchers due to increasing traffic problems, especially in densely populated countries. Increasing rates of accidents call for an Intelligent Transportation Syst
Externí odkaz:
https://doaj.org/article/f4dcacf850124b808cdaa67d0000a9fa
Autor:
Weiying Wang, Toshihiro Osaragi
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 2, p 35 (2024)
The generation and prediction of daily human mobility patterns have raised significant interest in many scientific disciplines. Using various data sources, previous studies have examined several deep learning frameworks, such as the RNN and GAN, to s
Externí odkaz:
https://doaj.org/article/58e397280a244fc4b80e9e61fde13e5d
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