Publication: Statistical approach for activity-based model calibration based on plate scanning and traffic counts data
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Issued Date
2015
Resource Type
File Type
application/pdf
ISSN
1912615
Other identifier(s)
2-s2.0-84929575395
Rights Holder(s)
มหาวิทยาลัยศรีนครินทรวิโรฒ
Bibliographic Citation
Transportation Research Part B: Methodological. Vol 78, (2015), p.280-300
Suggested Citation
Siripirote T., Sumalee A., Ho H.W., Lam W.H.K. Statistical approach for activity-based model calibration based on plate scanning and traffic counts data. Transportation Research Part B: Methodological. Vol 78, (2015), p.280-300. doi:10.1016/j.trb.2015.05.004 Retrieved from: https://hdl.handle.net/20.500.14740/6118
Author(s)
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. © 2015 Elsevier Ltd.
Subject(s)
Complex networks
Crashworthiness
Maximum likelihood
Maximum likelihood estimation
Monte Carlo methods
Activity based modeling
Activity-based models
Identification rates
Maximum likelihood methods
Monte Carlo techniques
Statistical approach
Statistical model calibration
Statistical performance
Scanning
Calibration
Data quality
Maximum likelihood analysis
Numerical model
Statistical analysis
Traffic congestion
Crashworthiness
Maximum likelihood
Maximum likelihood estimation
Monte Carlo methods
Activity based modeling
Activity-based models
Identification rates
Maximum likelihood methods
Monte Carlo techniques
Statistical approach
Statistical model calibration
Statistical performance
Scanning
Calibration
Data quality
Maximum likelihood analysis
Numerical model
Statistical analysis
Traffic congestion