Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Qixue Ke"'
Publikováno v:
Sensors, Vol 20, Iss 16, p 4574 (2020)
Passenger flow prediction has drawn increasing attention in the deep learning research field due to its great importance in traffic management and public safety. The major challenge of this essential task lies in multiple spatiotemporal correlations
Externí odkaz:
https://doaj.org/article/667450ec20944e81aade04fe873a5d8a
Publikováno v:
Sensors, Vol 19, Iss 4, p 786 (2019)
The widespread popularity of smartphones makes it possible to provide Location-Based Services (LBS) in a variety of complex scenarios. The location and contextual status, especially the Indoor/Outdoor switching, provides a direct indicator for seamle
Externí odkaz:
https://doaj.org/article/9f5a1f1ff7c84530b4f7217b2672811d
Publikováno v:
IEEE Internet of Things Journal. 9:6803-6815
Multi-step service-level passenger flow forecasting is of great value in bus transit systems. This task is faced with great challenges due to complicated and dynamic spatial-temporal dependencies such as inter-station semantic dependencies, inter-lin
Autor:
Desheng Zhang, Huadong Ma, Dong Zhao, Liang Liu, Xiaoyong You, Xingquan Zuo, Qixue Ke, Dan Luo
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 22:7184-7199
Bus services play a crucial role in urban transit. It is significant to achieve the fine-grained service-level passenger flow prediction (SPFP), namely to predict the total number of passengers for each service of each bus line passing through each s
Publikováno v:
Sensors
Volume 20
Issue 16
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 4574, p 4574 (2020)
Volume 20
Issue 16
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 4574, p 4574 (2020)
Passenger flow prediction has drawn increasing attention in the deep learning research field due to its great importance in traffic management and public safety. The major challenge of this essential task lies in multiple spatiotemporal correlations
Publikováno v:
Sensors
Volume 19
Issue 4
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 4, p 786 (2019)
Volume 19
Issue 4
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 4, p 786 (2019)
The widespread popularity of smartphones makes it possible to provide Location-Based Services (LBS) in a variety of complex scenarios. The location and contextual status, especially the Indoor/Outdoor switching, provides a direct indicator for seamle