Bayesian Dynamic Model of Generalized Trip Cost Based on Traveler Perception

2014 ◽  
Vol 1030-1032 ◽  
pp. 2223-2226
Author(s):  
Shi Huan Qin ◽  
Mo Song ◽  
Jian Ming Ying ◽  
Li Neng Xu
Keyword(s):  
Dynamic Model ◽  
Choice Behavior ◽  
Daily Trip ◽  
Bayesian Dynamic Model

Research on trip choice has been a hotspot in the area of traffic science. Daily trip choice behavior can be regard as a reiterative process and each choice represent a process during which travelers’ experience accumulated. The consequence of each choice will affect the next trip choice and the most direct one is the influence on the change of generalized trip cost traveler perceived. Therefore, the generalized trip cost traveler perceived is defined as the gist of the choice on trip mode and trip route and Bayesian dynamic model of generalized trip cost based on traveler perception is established in this paper.

A Bayesian dynamic model for influenza surveillance

2006 ◽  
Vol 25 (11) ◽  
pp. 1819-1820
Author(s):  
V. T. Farewell ◽  
D. J. Spiegelhalter
Keyword(s):  
Dynamic Model ◽  
Influenza Surveillance ◽  
Bayesian Dynamic Model

Reliability Prediction of Bridges Based on Monitored Data and Bayesian Dynamic Models

2013 ◽  
Vol 574 ◽  
pp. 77-84 ◽  
Author(s):  
Xue Ping Fan ◽  
Da Gang Lu
Keyword(s):  
Dynamic Model ◽  
Health Monitoring ◽  
Structural Engineering ◽  
Structural Reliability ◽  
Dynamic Models ◽  
Reliability Prediction ◽  
Reliability Indices ◽  
Bridge Structures ◽  
Monitoring Information ◽  
Bayesian Dynamic Model

Bridges are subjected to time-dependent loading and strength degradation processes. The main purposes of the designers and the owners are to keep these processes under control, to real-timely know and predict the structural time-variant reliability indices through health monitoring for bridge structures. The sensors of monitoring systems used in structural engineering provide data used for reliability prediction. But how to make use of monitored data to predict and make assessment of the time-variant reliability indices of bridges has become the bottleneck in the field of structural health monitoring (SHM). Bayesian dynamic models can combine the structural monitoring information with the structural reliability, and also can consider the uncertainty of the mass monitoring information. Therefore, in this paper firstly the bayesian dynamic model is built based on the monitoring information; secondly the monitoring mechanism of the monitoring information is given based on the built bayesian dynamic model; thirdly structural reliability indices are predicted based on the monitoring information and the built bayesian dynamic models; finally an actual example is provided to illustrate the feasibility and application of the built bayesian dynamic models in this paper.

scholarly journals A Bayesian dynamic model for influenza surveillance

2006 ◽  
Vol 25 (11) ◽  
pp. 1803-1816 ◽  
Author(s):  
Paola Sebastiani ◽  
Kenneth D. Mandl ◽  
Peter Szolovits ◽  
Isaac S. Kohane ◽  
Marco F. Ramoni
Keyword(s):  
Dynamic Model ◽  
Influenza Surveillance ◽  
Bayesian Dynamic Model

scholarly journals A Bayesian Dynamic Model of Asthma in the Real Life

2013 ◽  
Vol 16 (7) ◽  
pp. A594-A595
Author(s):  
B. Amzal ◽  
V. Timmaraju ◽  
E. Castelnuovo ◽  
I. Boucot ◽  
C. Pribil ◽  
...  
Keyword(s):  
Dynamic Model ◽  
Real Life ◽  
The Real ◽  
Bayesian Dynamic Model
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