.png){kind=icon}
返回
A Bayesian method for estimating traffic flows based on plate scanning
.png){kind=icon}
PRE
AI
DOI：10.1007/s11116-012-9443-4.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper a special conjugate Bayesian method, for reconstructing and estimating traffic flows, based on alpha-shifted-Gamma models is given. If the numbers of users traveling through different routes are assumed to be independent variables with common the link, origin-destination (OD) and node flows are also random variables. We assume that the main source of information is plate scanning, which permits us to identify, totally or partially, the vehicle route, OD and link flows by scanning their corresponding plate numbers at an adequately selected subset of links. The reconstruction of the sample flows can be done exactly or approximately, depending on the intensity of the plate scanning sampling procedure. To this end a generalized least squares technique is used together with the conservation laws. A Bayesian approach using special conjugate families is proposed that allows us to estimate different traffic flows, such as route, OD-pair, scanned link or counted link flows. A detailed description of how the prior assessment, the sampling, the posterior updating and the obtention of the Bayesian distribution is given. Finally, one example of application is used to illustrate the methods and procedures.
Keyword:
Shifted-Gamma distribution
Conjugate priors
Prior assessment of hyperparameters
Origin-destination and link flow estimation
期刊
IF:
3.3
论文数:
2.1K
被引数:
7.1K
机构
引用论文
Traffic estimation and optimal counting location without path enumeration using Bayesian networks
PREAI
分享收藏Observability in traffic networks. Plate scanning added by counting information.png)
TRANSPORTATION
TRANSPORTATIONIF3.3
PREAI
分享收藏INFERENCES ON TRIP MATRICES FROM OBSERVATIONS ON LINK VOLUMES - A BAYESIAN STATISTICAL APPROACH
PREAI
分享收藏
查看更多内容