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Title: | Estimation of mean and covariance of stochastic multi-class OD demands from classified traffic counts | Authors: | Shao, H Lam, WHK Sumalee, A Hazelton, ML |
Issue Date: | 2015 | Source: | Transportation research procedia, 2015, v. 7, p. 192-211 | Abstract: | This paper proposes a new model to estimate the mean and covariance of stochastic multi-class (multiple vehicle classes) origin-destination (OD) demands from hourly classified traffic counts throughout the whole year. It is usually assumed in the conventional OD demand estimation models that the OD demand by vehicle class is deterministic. Little attention is given on the estimation of the statistical properties of stochastic OD demands as well as their covariance between different vehicle classes. Also, the interactions between different vehicle classes in OD demand are ignored such as the change of modes between private car and taxi during a particular hourly period over the year. To fill these two gaps, the mean and covariance matrix of stochastic multi-class OD demands for the same hourly period over the year are simultaneously estimated by a modified lasso (least absolute shrinkage and selection operator) method. The estimated covariance matrix of stochastic multi-class OD demands can be used to capture the statistical dependency of traffic demands between different vehicle classes. In this paper, the proposed model is formulated as a non-linear constrained optimization problem. An exterior penalty algorithm is adapted to solve the proposed model. Numerical examples are presented to illustrate the applications of the proposed model together with some insightful findings on the importance of covariance of OD demand between difference vehicle classes. | Keywords: | OD demand estimation Multiple vehicle class Covariance matrix Classified traffic counts |
Publisher: | Elsevier | Journal: | Transportation research procedia | EISSN: | 2352-1465 | DOI: | 10.1016/j.trpro.2015.06.011 | Description: | 21st International Symposium on Transportation and Traffic Theory, ISTTT21 2015, 5-7 August, 2015, Kobe, Japan | Rights: | © 2015 The Authors. Published by Elsevier B.V. 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 Shao, H., Lam, W. H., Sumalee, A., & Hazelton, M. L. (2015). Estimation of mean and covariance of stochastic multi-class OD demands from classified traffic counts. Transportation Research Procedia, 7, 192-211 is available at https://doi.org/10.1016/j.trpro.2015.06.011 |
Appears in Collections: | Conference Paper |
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