Zobrazeno 1 - 10
of 1 301
pro vyhledávání: '"Traffic forecasting"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-22 (2024)
Abstract Short-term traffic flow forecasting is a hot issue in the field of intelligent transportation. The research field of traffic forecasting has evolved greatly in past decades. With the rapid development of deep learning and neural networks, a
Externí odkaz:
https://doaj.org/article/a1031da53523489e8e4cc314289273d4
Publikováno v:
IET Networks, Vol 13, Iss 4, Pp 301-312 (2024)
Abstract Industrial IoT (IIoT) applications are widely used in multiple use cases to automate the industrial environment. Industry 4.0 presents challenges in numerous areas, including heterogeneous data, efficient data sensing and collection, real‐
Externí odkaz:
https://doaj.org/article/93fc466559b8452780a41b4b7e9b8c58
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104237- (2024)
Accurate urban traffic forecasting is essential for intelligent transportation systems (ITS). However, the majority of existing forecasting methodologies predominantly concentrate on point-based forecasts (e.g., traffic detector forecasts). A limited
Externí odkaz:
https://doaj.org/article/bb5e4fe05b79469d9626b47343efbfcc
Autor:
Hyebin Park,, Seung Hyun Yoon
Publikováno v:
ETRI Journal, Vol 46, Iss 3, Pp 379-391 (2024)
To meet increasing traffic requirements in mobile networks, small base stations (SBSs) are densely deployed, overlapping existing network architecture and increasing system capacity. However, densely deployed SBSs increase energy consumption and inte
Externí odkaz:
https://doaj.org/article/7718e35c01e646c7bf62c2774bb48d0b
Autor:
WU Tingting, ZHANG Han
Publikováno v:
Hangkong gongcheng jinzhan, Vol 15, Iss 2, Pp 56-65 (2024)
Xinjiang is an important area linking China with Central Asia and Europe, and is a vital land pivot point of China's "One Belt, One Road". As the number of flights increases year by year, the control pressure in Xinjiang control area increases year b
Externí odkaz:
https://doaj.org/article/d36e90a3ce5d4ba4b7a32aac20009dc2
Publikováno v:
Data Science and Engineering, Vol 9, Iss 3, Pp 341-359 (2024)
Abstract With the exponential increase in the urban population, urban transportation systems are confronted with numerous challenges. Traffic congestion is common, traffic accidents happen frequently, and traffic environments are deteriorating. To al
Externí odkaz:
https://doaj.org/article/b41bffdd7fb44eaf89ad8f835be098e0
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Accurately obtaining accurate information about the future traffic flow of all roads in the transportation network is essential for traffic management and control applications. In order to address the challenges of acquiring dynamic global s
Externí odkaz:
https://doaj.org/article/4b6e26c58d354f8584daf762e58416fd
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 3305-3317 (2024)
Abstract Accurate prediction of traffic flow is essential for optimizing transportation resource allocation and enhancing urban mobility efficiency. However, traffic data generated daily are vast and complex, involving dynamic and intricate changes i
Externí odkaz:
https://doaj.org/article/30aa453facde4dfb81bfacb4ef1d95db