Generating a Spatiotemporal Dynamic Map for Traffic Analysis Using Macroscopic Fundamental Diagram
Joint Authors
Tian, Ye
Sun, Jian
Li, Yudi
Zhu, Lei
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-31
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Transportation simulation and analysis projects that utilize maps with inappropriate fidelity levels carry a significant risk of having poor runtime or poor prediction performance.
To address this, researchers use map abstraction method to abstract out a simplified map with fewer links and nodes based on the original full detailed map.
Traditional static abstraction methods produce analysis maps with a single fidelity across the entire planning horizon, which cannot reflect the dynamic changes of daily traffic.
This paper proposes a spatiotemporal dynamic map abstraction approach that adopts a time series clustering method to segment the analysis time horizon adaptively based on a Macroscopic Fundamental Diagram (MFD) curve, which describes network-wide dynamic traffic states.
Time periods with similar macro-performance are grouped into one subinterval.
A map with a dedicated fidelity is produced for each subinterval.
Furthermore, a simulation is run on multiple abstracted maps with different fidelities in a sequence according to their temporal order.
A numerical experiment ascertains that the proposed approach has promising results in both analysis accuracy and efficiency for resource-constrained modeling agents.
American Psychological Association (APA)
Li, Yudi& Zhu, Lei& Sun, Jian& Tian, Ye. 2019. Generating a Spatiotemporal Dynamic Map for Traffic Analysis Using Macroscopic Fundamental Diagram. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1170339
Modern Language Association (MLA)
Li, Yudi…[et al.]. Generating a Spatiotemporal Dynamic Map for Traffic Analysis Using Macroscopic Fundamental Diagram. Journal of Advanced Transportation No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1170339
American Medical Association (AMA)
Li, Yudi& Zhu, Lei& Sun, Jian& Tian, Ye. Generating a Spatiotemporal Dynamic Map for Traffic Analysis Using Macroscopic Fundamental Diagram. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1170339
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170339