Formulation and solution for calibrating boundedly rational activity-travel assignment: An exploratory study
Parameter calibration of the traffic assignment models is vital to travel demand analysis and management. As an extension of the conventional traffic assignment, boundedly rational activity-travel assignment (BR-ATA) combines activity-based modeling and traffic assignment endogenously and can captur...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Communications in Transportation Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772424723000033 |
| _version_ | 1797398461894623232 |
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| author | Dong Wang Feixiong Liao |
| author_facet | Dong Wang Feixiong Liao |
| author_sort | Dong Wang |
| collection | DOAJ |
| description | Parameter calibration of the traffic assignment models is vital to travel demand analysis and management. As an extension of the conventional traffic assignment, boundedly rational activity-travel assignment (BR-ATA) combines activity-based modeling and traffic assignment endogenously and can capture the interdependencies between high dimensional choice facets along the activity-travel patterns. The inclusion of multiple episodes of activity participation and bounded rationality behavior enlarges the choice space and poses a challenge for calibrating the BR-ATA models. In virtue of the multi-state supernetwork, this exploratory study formulates the BR-ATA calibration as an optimization problem and analyzes the influence of the two additional components on the calibration problem. Considering the temporal dimension, we also propose a dynamic formulation of the BR-ATA calibration problem. The simultaneous perturbation stochastic approximation algorithm is adopted to solve the proposed calibration problems. Numerical examples are presented to calibrate the activity-based travel demand for illustrations. The results demonstrate the feasibility of the solution method and show that the parameter characterizing the bounded rationality behavior has a significant effect on the convergence of the calibration solutions. |
| first_indexed | 2024-03-09T01:25:54Z |
| format | Article |
| id | doaj.art-f293fcef04374d62aabfad10cc5f84ad |
| institution | Directory Open Access Journal |
| issn | 2772-4247 |
| language | English |
| last_indexed | 2024-03-09T01:25:54Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Communications in Transportation Research |
| spelling | doaj.art-f293fcef04374d62aabfad10cc5f84ad2023-12-10T06:19:08ZengElsevierCommunications in Transportation Research2772-42472023-12-013100092Formulation and solution for calibrating boundedly rational activity-travel assignment: An exploratory studyDong Wang0Feixiong Liao1School of Business, Qingdao University, Qingdao, 266071, China; Urban Planning and Transportation Group, Eindhoven University of Technology, De Zaale, PO Box 513, 5600 MB, Eindhoven, the NetherlandsUrban Planning and Transportation Group, Eindhoven University of Technology, De Zaale, PO Box 513, 5600 MB, Eindhoven, the Netherlands; Corresponding author.Parameter calibration of the traffic assignment models is vital to travel demand analysis and management. As an extension of the conventional traffic assignment, boundedly rational activity-travel assignment (BR-ATA) combines activity-based modeling and traffic assignment endogenously and can capture the interdependencies between high dimensional choice facets along the activity-travel patterns. The inclusion of multiple episodes of activity participation and bounded rationality behavior enlarges the choice space and poses a challenge for calibrating the BR-ATA models. In virtue of the multi-state supernetwork, this exploratory study formulates the BR-ATA calibration as an optimization problem and analyzes the influence of the two additional components on the calibration problem. Considering the temporal dimension, we also propose a dynamic formulation of the BR-ATA calibration problem. The simultaneous perturbation stochastic approximation algorithm is adopted to solve the proposed calibration problems. Numerical examples are presented to calibrate the activity-based travel demand for illustrations. The results demonstrate the feasibility of the solution method and show that the parameter characterizing the bounded rationality behavior has a significant effect on the convergence of the calibration solutions.http://www.sciencedirect.com/science/article/pii/S2772424723000033Activity-travel patternBounded rationalitySimultaneous perturbation stochastic approximationParameter calibration |
| spellingShingle | Dong Wang Feixiong Liao Formulation and solution for calibrating boundedly rational activity-travel assignment: An exploratory study Communications in Transportation Research Activity-travel pattern Bounded rationality Simultaneous perturbation stochastic approximation Parameter calibration |
| title | Formulation and solution for calibrating boundedly rational activity-travel assignment: An exploratory study |
| title_full | Formulation and solution for calibrating boundedly rational activity-travel assignment: An exploratory study |
| title_fullStr | Formulation and solution for calibrating boundedly rational activity-travel assignment: An exploratory study |
| title_full_unstemmed | Formulation and solution for calibrating boundedly rational activity-travel assignment: An exploratory study |
| title_short | Formulation and solution for calibrating boundedly rational activity-travel assignment: An exploratory study |
| title_sort | formulation and solution for calibrating boundedly rational activity travel assignment an exploratory study |
| topic | Activity-travel pattern Bounded rationality Simultaneous perturbation stochastic approximation Parameter calibration |
| url | http://www.sciencedirect.com/science/article/pii/S2772424723000033 |
| work_keys_str_mv | AT dongwang formulationandsolutionforcalibratingboundedlyrationalactivitytravelassignmentanexploratorystudy AT feixiongliao formulationandsolutionforcalibratingboundedlyrationalactivitytravelassignmentanexploratorystudy |