Copy the page URI to the clipboard
Whitlock, Mark E. and Queen, Catriona M.
(2000).
DOI: https://doi.org/10.1002/1099-131x(200012)19:7%3C561::aid-for785%3E3.0.co;2-4
URL: http://onlinelibrary.wiley.com/doi/10.1002/1099-13...
Abstract
Whitlock and Queen (1998) developed a dynamic graphical model for forecasting traffic flows at a number of sites at a busy traffic junction in Kent, UK. Some of the data collection sites at this junction have been faulty over the data collection period and so there are missing series in the multivariate problem. Here we adapt the model developed in Whitlock and Queen (1998) to accommodate these missing data. Markov chain Monte Carlo methods are used to provide forecasts of the missing series, which in turn are used to produce forecasts for some of the other series. The methods are used on part of the network and shown to be very promising.
Viewing alternatives
Metrics
Public Attention
Altmetrics from AltmetricNumber of Citations
Citations from DimensionsItem Actions
Export
About
- Item ORO ID
- 23902
- Item Type
- Journal Item
- ISSN
- 1099-131X
- Keywords
- forecasting traffic networks; Bayesian dynamic graphical model; missing data; Markov chain Monte Carlo
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Copyright Holders
- © 2000 John Wiley & Sons, Ltd
- Depositing User
- Sarah Frain