Name
Title | ||
|---|---|---|
Bayesian hierarchical modelling of traffic flow - With application to Malta's road network |
Abstract | ||
|---|---|---|
A Bayesian Hierarchical Model is presented to estimate route choice preferences between OD pairs. The methodology adopted utilizes both Origin-Destination (OD) information and traffic counts observed on some of the links in the network to estimate route choice probabilities. Route choice preferences are represented by multinomial distributions and estimated via a Markov Chain Monte Carlo (MCMC) algorithm. The proposed model takes into account measurement errors in the link counts, the uncertanties present in OD data and alternative routes choices both inside or outside the network of study. The proposed method is validated on both a synthetic example and the traffic network of Malta. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ITSC.2013.6728423 | ITSC |
Keywords | Field | DocType |
bayes methods,markov processes,monte carlo methods,measurement errors,modelling,road traffic,statistical distributions,vehicle routing,bayesian hierarchical modelling,mcmc algorithm,malta road network,markov chain monte carlo algorithm,od data,od pairs,link counts,multinomial distributions,network links,origin-destination information,route choice preferences estimation,route choice probabilities,traffic counts,traffic flow,bayesian hierarchical model,bayesian traffic assigment,multinomial route choice preferences,markov chains,monte carlo method,bayes theorem | Markov process,Traffic flow,Markov chain Monte Carlo,Simulation,Markov chain,Multinomial distribution,Bayesian hierarchical modeling,Engineering,Bayes' theorem,Bayesian probability | Conference |
ISSN | Citations | PageRank |
2153-0009 | 1 | 0.36 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zammit, L.C. | 1 | 2 | 1.86 |
| Attard, M. | 2 | 1 | 0.36 |
| Kenneth Scerri | 3 | 42 | 4.36 |