Zobrazeno 1 - 10
of 434
pro vyhledávání: '"mobility modeling"'
Autor:
Andrzej Kubik
Publikováno v:
Smart Cities, Vol 6, Iss 4, Pp 1858-1878 (2023)
The use of artificial intelligence in solutions used in smart cities is becoming more and more popular. An example of the use of machine learning is the improvement of the management of shared mobility systems in terms of assessing the accuracy of us
Externí odkaz:
https://doaj.org/article/1ffdcf2c289f49c9bb0b2d82f310d9a9
Publikováno v:
IEEE Access, Vol 11, Pp 29250-29262 (2023)
Human mobility modeling is crucial for many facets of our society, including disease transmission modeling and urban planning. The explosion of mobility data prompted the application of deep learning to human mobility. Along with the growth of resear
Externí odkaz:
https://doaj.org/article/4c5adae3a3e4401ea3e95e6ebae9a7f9
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 6, Pp 2471-2487 (2022)
This paper presents a method that generates a hierarchical user mobility model from the analysis of the data available from Wi-Fi connections. The data obtained from the Wi-Fi infrastructure is defined in terms of the coverage areas of the access poi
Externí odkaz:
https://doaj.org/article/79f445fe2c1a4977a1288dc8d97d8c45
Publikováno v:
IEEE Access, Vol 10, Pp 34085-34115 (2022)
Mobility modeling in 5G and beyond 5G must address typical features such as time-varying correlation between mobility patterns of different nodes, and their variation ranging from macro-mobility (kilometer range) to micro-mobility (sub-meter range).
Externí odkaz:
https://doaj.org/article/abf60dfc30ca4f9186d7bec07f12343a
Publikováno v:
Frontiers in Computer Science, Vol 4 (2022)
Location-based Behavioral Analytics (LBA) holds a great potential for improving the services available in smart cities. Naively implemented, such an approach would track the movements of every citizen and share their location traces with the various
Externí odkaz:
https://doaj.org/article/a9ec2a5377464cd8b2043dfeec50cc50
Publikováno v:
Sensors, Vol 23, Iss 10, p 4803 (2023)
The estimation of human mobility patterns is essential for many components of developed societies, including the planning and management of urbanization, pollution, and disease spread. One important type of mobility estimator is the next-place predic
Externí odkaz:
https://doaj.org/article/a015bc108e5044969a1265cb111a9a8e
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
Human mobility modeling is a complex yet essential subject of study related to modeling important spatiotemporal events, including traffic, disease spreading, and customized directions and recommendations. While spatiotemporal data can be collected e
Externí odkaz:
https://doaj.org/article/5963db89ed194299a98b76edc71ab5e0
Akademický článek
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Autor:
Lennart Adenaw, Quirin Bachmeier
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8456 (2022)
Manifold applications in transportation system engineering rely on accurate modeling of human mobility demand. This demand is often represented by so-called mobility plans. Distinguished by their levels of aggregation, activity-based and trip-based m
Externí odkaz:
https://doaj.org/article/8e93775cced94ab787e07ee16b35376c
Autor:
Kaveh Khoshkhah, Mozhgan Pourmoradnasseri, Amnir Hadachi, Helen Tera, Jakob Mass, Erald Keshi, Shan Wu
Publikováno v:
Sensors, Vol 22, Iss 8, p 3030 (2022)
In recent years, we have witnessed the emergence of the implementation and integration of significant working solutions in transportation, especially within the smart city concept. A lot of cities in Europe and around the world support this initiativ
Externí odkaz:
https://doaj.org/article/b4bebad871b540e7a10e49c63e057152