Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/32429
Title: | Statistical approach for activity-based model calibration based on plate scanning and traffic counts data | Authors: | Siripirote, T Sumalee, A Ho, HW Lam, WHK |
Issue Date: | Aug-2015 | Source: | Transportation research. Part B, Methodological, Aug. 2015, v. 78, p. 280-300 | Abstract: | Traditionally, activity-based models (ABM) are estimated from travel diary survey data. The estimated results can be biased due to low-sampling size and inaccurate travel diary data. For an accurate calibration of ABM parameters, a maximum-likelihood method that uses multiple sources of roadside observations (link counts and/or plate scanning data) is proposed. Plate scanning information (sensor path information) consists of sequences of times and partial paths that the scanned vehicles are observed over the preinstalled plate scanning locations. Statistical performances of the proposed method are evaluated on a test network using Monte Carlo technique for simulating the link flows and sensor path information. Multiday observations are simulated and derived from the true ABM parameters adopted in the choice models of activity pattern, time of the day, destination and mode. By assuming different number of plate scanning locations and identification rates, impacts of data quantity and data quality on ABM calibration are studied. The results illustrate the efficiency of the proposed model in using plate scanning information for ABM calibration and its potential for large and complex network applications. | Keywords: | Maximum-likelihood estimation Plate scanning Statistical model calibration |
Publisher: | Pergamon Press | Journal: | Transportation research. Part B, Methodological | ISSN: | 0191-2615 | EISSN: | 1879-2367 | DOI: | 10.1016/j.trb.2015.05.004 | Rights: | © 2015 Elsevier Ltd. All rights reserved. © 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ The following publication Siripirote, T., Sumalee, A., Ho, H. W., & Lam, W. H. (2015). Statistical approach for activity-based model calibration based on plate scanning and traffic counts data. Transportation Research Part B: Methodological, 78, 280-300. is available at https://doi.org/10.1016/j.trb.2015.05.004. |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Siripirote_Statistical_Approach_Activity-based.pdf | Pre-Published version | 1.76 MB | Adobe PDF | View/Open |
Page views
111
Last Week
1
1
Last month
Citations as of Mar 24, 2024
Downloads
35
Citations as of Mar 24, 2024
SCOPUSTM
Citations
11
Last Week
0
0
Last month
0
0
Citations as of Mar 28, 2024
WEB OF SCIENCETM
Citations
10
Last Week
0
0
Last month
0
0
Citations as of Mar 28, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.