Origin-Destination Estimation Using Probe Vehicle Trajectory and Link Counts
Joint Authors
Yang, Xianfeng
Lu, Yang
Hao, Wei
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-23
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
This paper presents two origin-destination flow estimation models using sampled GPS positions of probe vehicles and link flow counts.
The first model, named as SPP model (scaled probe OD as prior OD), uses scaled probe vehicle OD matrix as prior OD matrix and applies conventional generalized least squares (GLS) framework to conduct OD correction using link counts; the second model, PRA model (probe ratio assignment), is an extension of SPP in which the observed link probe ratios are also included as additional information in the OD estimation process.
For both models, the study explored a new way to construct assignment matrices directly from sampled probe trajectories to avoid sophisticated traffic assignment process.
Then, for performance evaluation, a comprehensive numerical experiment was conducted using simulation dataset.
The results showed that when the distribution of probe vehicle ratios is homogeneous among different OD pairs, both proposed models achieved similar degree of improvement compared with the prior OD pattern.
However, under the case that the distribution of probe vehicle ratios is heterogeneous across different OD pairs, PRA model achieved more significant reduction on OD flow estimations compared with SPP model.
Grounded on both theoretical derivations and empirical tests, the study provided in-depth discussions regarding the strengths and challenges of probe vehicle based OD estimation models.
American Psychological Association (APA)
Yang, Xianfeng& Lu, Yang& Hao, Wei. 2017. Origin-Destination Estimation Using Probe Vehicle Trajectory and Link Counts. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1170695
Modern Language Association (MLA)
Yang, Xianfeng…[et al.]. Origin-Destination Estimation Using Probe Vehicle Trajectory and Link Counts. Journal of Advanced Transportation No. 2017 (2017), pp.1-18.
https://search.emarefa.net/detail/BIM-1170695
American Medical Association (AMA)
Yang, Xianfeng& Lu, Yang& Hao, Wei. Origin-Destination Estimation Using Probe Vehicle Trajectory and Link Counts. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1170695
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170695