Driving into Intelligent Spaces with Pervasive Communications

Yang, Liuqing; Wang, Fei‐Yue

doi:10.1109/mis.2007.8

Cited by 68 publications

(22 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…N MOBILE communications with time-variant fading, e.g., vehicular communications in intelligent transportation systems (ITSs) [1], [2], two important second-order statistics associated with envelope fading are the envelope level crossing rate (LCR) and average fade duration (AFD). The LCR describes how often the envelope crosses a certain threshold, whereas AFD indicates how long the envelope stays below a given threshold.…”

mentioning

confidence: 99%

Envelope Level Crossing Rate and Average Fade Duration of Nonisotropic Vehicle-to-Vehicle Ricean Fading Channels

Cheng

Wang

et al. 2014

IEEE Trans. Intell. Transport. Syst.

173

View full text Add to dashboard Cite

mentioning

confidence: 99%

Envelope Level Crossing Rate and Average Fade Duration of Nonisotropic Vehicle-to-Vehicle Ricean Fading Channels

Cheng

Wang

et al. 2014

IEEE Trans. Intell. Transport. Syst.

173

View full text Add to dashboard Cite

“…The works of Yang et al and of Qu et al [31], [32] introduce the concept of Intelligent Transportation Spaces as the integration of various ITS modules, vehicles, and roadside infrastructure. They mainly analyze safe and effective communication technologies to enable pervasive intelligence without impacting too much on drivers workload.…”

Section: Related Workmentioning

confidence: 99%

Towards a general infrastructure for location-based smart mobility services

Sassi

Mamei

Zambonelli

2014

2014 International Conference on High Performance Computing &Amp; Simulation (HPCS)

View full text Add to dashboard Cite

Penetration of smart phones and localization technologies are enabling a variety of smart location-based social mobility services that can notably improve the quality life of citizens on the go. Most existing solutions are shaped from a specific set of data sources processed through predefined computational flows to provide a specific class of services, and rarely strive for generality and urban-scale goals. The contribution of this paper is to presents an architectural model for a general-purpose distributed coordination infrastructure to support the dynamic composition of a variety of smart social mobility services, by focusing on the coordination of the agents involved to address both individual mobility needs and urban-scale mobility issues. Following, it analyzes the key requirements that the implementation of such infrastructure should satisfy. Finally, to exemplify, we show how the framework can be applied to a urban ride-sharing service.

show abstract

“…The communication adapters form the interface between the communication module and the actual hardware drivers. The communication module has a generic part and two specialised parts for message and datacentric communication (Yang & Wang, 2007). The detailed description of each of the modules is provided below.…”

Section: Emma Projectmentioning

confidence: 99%