Prediction of urban human mobility using large-scale taxi traces and its applications
This paper investigates human mobility patterns in an urban taxi transportation system. This
work focuses on predicting humanmobility fromdiscovering patterns of in the number of …
work focuses on predicting humanmobility fromdiscovering patterns of in the number of …
Data loss and reconstruction in sensor networks
Reconstructing the environment in cyber space by sensory data is a fundamental operation
for understanding the physical world in depth. A lot of basic scientific work (eg, nature …
for understanding the physical world in depth. A lot of basic scientific work (eg, nature …
[PDF][PDF] Challenges and opportunities in exploiting large-scale GPS probe data
Global positioning system (GPS) receivers are widely deployed in navigation and tracking
devices installed in taxis, buses, utility vehicles, and smart phones. These GPS receivers …
devices installed in taxis, buses, utility vehicles, and smart phones. These GPS receivers …
Recognizing exponential inter-contact time in VANETs
Inter-contact time between moving vehicles is one of the key metrics in vehicular ad hoc
networks (VANETs) and central to forwarding algorithms and the end-to-end delay. Due to …
networks (VANETs) and central to forwarding algorithms and the end-to-end delay. Due to …
[PDF][PDF] 车联网: 物联网在城市交通网络中的应用
刘小洋， 伍民友 - 2012 - cf.lcchina.org.cn
(上海交通大学计算机科学与工程系. 上海200240) I· 通信作者电子邮箱y “nOet@ 旬lu edu en]
摘要: 阐述了“物联网” 扣“车辆网” 这两个热门概念的内涵和外建. 通过分析两者的发展历程 …
摘要: 阐述了“物联网” 扣“车辆网” 这两个热门概念的内涵和外建. 通过分析两者的发展历程 …
A compressive sensing approach to urban traffic estimation with probe vehicles
Traffic estimation is crucial to a number of tasks such as traffic management and road
engineering. We propose an approach for metropolitan-scale traffic estimation with probe …
engineering. We propose an approach for metropolitan-scale traffic estimation with probe …
Towards mobility-based clustering
Identifying hot spots of moving vehicles in an urban area is essential to many smart city
applications. The practical research on hot spots in smart city presents many unique …
applications. The practical research on hot spots in smart city presents many unique …
Recover corrupted data in sensor networks: A matrix completion solution
Affected by hardware and wireless conditions in WSNs, raw sensory data usually have
notable data loss and corruption. Existing studies mainly consider the interpolation of …
notable data loss and corruption. Existing studies mainly consider the interpolation of …
BuildSenSys: Reusing Building Sensing Data for Traffic Prediction With Cross-Domain Learning
With the rapid development of smart cities, smart buildings are generating a massive amount
of building sensing data by the equipped sensors. Indeed, building sensing data provides a …
of building sensing data by the equipped sensors. Indeed, building sensing data provides a …
Data loss and reconstruction in wireless sensor networks
Reconstructing the environment by sensory data is a fundamental operation for
understanding the physical world in depth. A lot of basic scientific work (eg, nature …
understanding the physical world in depth. A lot of basic scientific work (eg, nature …