Monte Carlo simulation of household travel survey data with Bayesian updating

Peter R. Stopher, Graham Pointer

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

Monte Carlo simulation of household travel survey data with Bayesian updating is discussed. The procedure of updating and then the results obtained in updating the distributions for Adelaide in South Australia, using original distributions from the US and local census data, together with a local household travel survey are also discussed. Results of expanding the simulated data to the region are presented. It is found that the updated simulation gives a more accurate simulation result for the region, than simulation without updating.

Original languageEnglish (US)
Pages (from-to)2273-2286
Number of pages14
JournalProceedings - Conference of the Australian Road Research Board
Volume21
StatePublished - 2003
Externally publishedYes
EventProceedings - 21st ARRB and 11th REAAA Conference, Transport Our Highway to a Sustainable Future - Cairns, QLD, Australia
Duration: May 18 2003May 23 2003

ASJC Scopus subject areas

  • Transportation

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