Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/91456
| Title: | Calibration of stochastic link-based fundamental diagram with explicit consideration of speed heterogeneity | Authors: | Bai, L Wong, SC Xu, P Chow, AHF Lam, WHK |
Issue Date: | Aug-2021 | Source: | Transportation research. Part B, Methodological, Aug. 2021, v. 150, p. 524-539 | Abstract: | This study aims to establish a stochastic link-based fundamental diagram (FD) with explicit consideration of two available sources of uncertainty: speed heterogeneity, indicated by the speed variance within an interval, and rainfall intensity. A stochastic structure was proposed to incorporate the speed heterogeneity into the traffic stream model, and the random-parameter structures were applied to reveal the unobserved heterogeneity in the mean speeds at an identical density. The proposed stochastic link-based FD was calibrated and validated using real-world traffic data obtained from two selected road segments in Hong Kong. Traffic data were obtained from the Hong Kong Journey Time Indication System operated by the Hong Kong Transport Department during January 1 to December 31, 2017. The data related to rainfall intensity were obtained from the Hong Kong Observatory. A two-stage calibration based on Bayesian inference was proposed for estimating the stochastic link-based FD parameters. The predictive performances of the proposed model and three other models were compared using K-fold cross-validation. The results suggest that the random-parameter model considering the speed heterogeneity effect performs better in terms of both goodness-of-fit and predictive accuracy. The effect of speed heterogeneity accounts for 18%–24% of the total heterogeneity effects on the variance of FD. In addition, there exists unobserved heterogeneity across the mean speeds at an identical density, and the rainfall intensity negatively affects the mean speed and its effect on the variance of FD differs at different densities. | Keywords: | Bayesian hierarchical model Rainfall intensity Random-parameter model Speed heterogeneity Stochastic link-based fundamental diagram |
Publisher: | Pergamon Press | Journal: | Transportation research. Part B, Methodological | ISSN: | 0191-2615 | EISSN: | 1879-2367 | DOI: | 10.1016/j.trb.2021.06.021 | Rights: | © 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). The following publication Bai, L., Wong, S. C., Xu, P., Chow, A. H., & Lam, W. H. (2021). Calibration of stochastic link-based fundamental diagram with explicit consideration of speed heterogeneity. Transportation Research Part B: Methodological, 150, 524-539 is available at https://doi.org/10.1016/j.trb.2021.06.021 |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1-s2.0-S0191261521001326-main.pdf | 3.18 MB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
11
Last Week
0
0
Last month
Citations as of Jun 4, 2023
Downloads
2
Citations as of Jun 4, 2023
SCOPUSTM
Citations
3
Citations as of Jun 8, 2023
WEB OF SCIENCETM
Citations
4
Citations as of Jun 8, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.