Bayesian Mixture Model to Estimate Freeway Travel Time under Low-Frequency Probe Data

Bayesian Mixture Model to Estimate Freeway Travel Time under Low-Frequency Probe Data

This study develops a novel estimation method under low-frequency probe data using the Bayesian approach. Given the challenges in estimating travel time under low-frequency probe data and prior distribution of the parameters in a traditional Bayesian approach, the proposed algorithm adopts a histori...

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Bibliographic Details
Main Authors: Hyungjoo Kim, Lanhang Ye
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Applied Sciences
Subjects:
Bayesian mixture estimation
low-frequency probe data
data-driven method
individual travel data
credible interval
Online Access:https://www.mdpi.com/2076-3417/12/13/6483

Internet

https://www.mdpi.com/2076-3417/12/13/6483

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