The posterior probability distribution of traffic flow: A new scheme for the assignment of stochastic traffic flow

Chong Wei, Yasuo Asakura, Takamasa Iryo

研究成果: Article

4 引用 (Scopus)

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This study proposes a new scheme for assigning traffic flows that aims to capture the stochastic nature of route traffic flows. We consider the route traffic flows to be random variables. The distribution of these random variables is formulated as a conditional probability distribution for a given assumption: the traffic network is in stochastic user equilibrium. From a Bayesian perspective, we treat the conditional distribution as a posterior distribution of route traffic flows, which is obtained using Bayes' theorem. We develop a basic Metropolis-Hastings (M-H) sampling scheme, as well as a M-H within Gibbs sampling scheme, to draw samples from the posterior distribution. We estimate characteristics such as the means and variances of route traffic flows from simulated samples. The proposed model can directly output the route traffic flows, and has a highly flexible computation process.

元の言語English
ページ(範囲)753-771
ページ数19
ジャーナルTransportmetrica A: Transport Science
9
発行部数8
DOI
出版物ステータスPublished - 2013 9 1
外部発表Yes

ASJC Scopus subject areas

  • Transportation
  • Engineering(all)

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