A Bayesian Method for Dynamic Origin–Destination Demand Estimation Synthesizing Multiple Sources of Data

A Bayesian Method for Dynamic Origin–Destination Demand Estimation Synthesizing Multiple Sources of Data

In this paper a Bayesian method is proposed to estimate dynamic origin–destination (O–D) demand. The proposed method can synthesize multiple sources of data collected by various sensors, including link counts, turning movements at intersections, flows, and travel times on partial paths. Time-depende...

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Bibliographic Details
Main Authors: Hang Yu, Senlai Zhu, Jie Yang, Yuntao Guo, Tianpei Tang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
dynamic O–D estimation
Bayesian statistic
synthesizing data
stepwise algorithm
Online Access:https://www.mdpi.com/1424-8220/21/15/4971

Internet

https://www.mdpi.com/1424-8220/21/15/4971

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